Education Drivers

Soft Skills

A teacher’s success is predicated on effective mastery of two requisite skill categories: technical competencies and personal competencies (soft skills). Technical skills are the specific skills and factual knowledge intrinsic to a specific job. Technical competencies elemental to teaching include instruction, assessment, and classroom management. Personal competencies, on the other hand, are skills broadly applicable to almost all professions; they create the foundation that enables a person to effectively use technical skills. Personal competencies basic to teaching include high expectations, love of learning, active listening, ability to adapt to novel situations, empathy, cultural sensitivity, positive regard for students, and good time management. Personal competency research shows large effect sizes, ranging from 0.72 to 0.87, for effective teacher-student relations that increase student academic performance and improve classroom climate. Unfortunately, teacher preparation and on-the-job staff development neglect this important training. To remedy the situation, more research is required to better define the field of personal competencies, and expanded training, including coaching, must be adopted during pre-service and induction.

Teacher Soft Skills Overview

Teacher Soft Skills PDF

States, J., Detrich, R. & Keyworth, R. (2018). Overview of Teacher Soft Skills.Oakland, CA: The Wing Institute. https://www.winginstitute.org/teacher-compentencies-soft-skills.

Table of Contents

  1. Communicating high expectations
  2. Communicating clearly
  3. Instilling a love of learning or motivating students
  4. Persevering
  5. Adapting to novel situations
  6. Showing empathy and cultural sensitivity
  7. Being an effective problem solver
  8. Working well with others and being a member of a team
  9. Managing time and personal productivity

This overview examines the available research on the topic of soft skills (personal competencies) and how these proficiencies support the technical competencies required for success in school (Laker & Powell, 2011; Schulz, 2008). Key technical competencies for teachers include instruction, assessment, and classroom management. Commonly cited technical competencies for school principals include budget administration, organizational management, and knowledge of effective teaching skills (Hattie, 2009; Heckman & Kautz, 2012; Whitehurst, 2016). Soft skills, in contrast, are skills broadly applied across all the disciplines in school (Matteson, Anderson, & Boyden, 2016). Communicating high expectations, instilling a love of learning, persevering, adapting to novel situations, conveying empathy, demonstrating cultural sensitivity, being an effective problem solver, working well with others, and efficiently managing time are attributes often linked to teachers who are effective in the classroom (Hattie, 2009). Soft skills associated with being an effective school principal are generally the same, with the addition of skills such as organizational management, assertive communication, and leadership (Horng, Klasik, & Loeb, 2010; Robinson, Lloyd, & Rowe, 2008). Other soft skills central to a principal’s success are the ability to prioritize demands on his or her time to accomplish critical tasks and maintaining a calm, unflappable temperament under pressure. These skills are important for the success of both teachers and principals. These same skills have been identified in the professional development literature as central to success across the spectrum of occupations and human endeavors (Robles, 2012).For the purposes of this overview, the focus will be on teacher soft skills.

Technical competencies in education are job-specific technical skills and indispensable knowledge core to teacher training curricula and imbedded in standards required for professional licensing (States, Detrich, & Keyworth, 2012). The existing educational research is filled with evidence supporting technical competencies specific to teaching (States, Detrich, & Keyworth, 2017).In spite of the substantial body of research supporting technical competencies, anecdotal reports abound of teachers proficient in technical competencies failing on the job because they lacked essential soft skills (Davis, 1998; Wragg, Haynes, Wragg, & Chamberlin, 2005). In 2015, Pew Research Center asked a national sample of adults to select among a list of 10 skills: “Regardless of whether or not you think these skills are good to have, which ones do you think are most important for children to get ahead in the world today?” Those surveyed listed communication skills as the most important, followed by reading, math, teamwork, writing, and logic (Goo, 2015). Two soft skills (communication and teamwork) made it into the top 10 list of skills suggesting that, in the general public’s opinion, some soft skills are highly valued as necessary for success.

To better understand the causal relationship between soft skills and student success, it is important to examine both the quality and quantity of evidence for a link between teacher soft skills and student outcomes. With this information, policymakers can more confidently commit to expending the necessary time and money on soft skill training and to developing a working curricula for teacher preparation pre-service and for in-service training.

What Does the Research Tell Us About Teacher Soft Skills?

At the heart of teacher soft skills is the relationship that teachers develop with their students. Large effect sizes ranging from 0.72 to 0.87 have been reported for the impact of positive teacher-student relations on student achievement (Cornelius-White, 2007; Marzano, Marzano & Pickering, 2003). Enhanced teacher-student relations likewise have improved the classroom climate and reduced disruptive student behavior, resulting in an effect size of 0.52 (Hattie, 2009). If we are to discover what is essential in establishing positive student relations, it is necessary to empirically identify the specific skill sets that contribute to a positive teacher-student relationship that results in student success.

What the Research Says About Specific Soft Skills

  1. Communicating High Expectations

Either consciously or unconsciously, teachers form expectations about a student’s abilities or skills that impact the student’s achievement (Rubie, 2004; Rubie-Davies, 2006). The primary question is, Do teacher expectations have an impact on student achievement?Research attempting to answer this question goes back more than 40 years. A meta-analysis by Rosenthal and Rubin in 1978 established an effect size of 0.70 for self-fulfilling prophecies. The study found that teachers were more likely having them meet expectations regardless of the accuracy of these expectations based on student past history. Harris and Rosenthal, in a 1985 meta-analysis, reported an effect size of 0.26 supporting student sex, age, and ethnicity as the most important factors in influencing ateacher’s expectations about how a student will perform. In a 1980 study, Smith reported that when teachers were provided data outlining a student’s abilities, the teacher reliably rated ability, achievement, and behavior according to the label that was provided.

Other factors influencing teacher expectations found a 0.30 effect size for student physical attractiveness affecting performance (Dusek & Joseph, 1983). A study in Switzerland found that when achievement levels were identical, evaluators would place students labeled as having a lower socioeconomic status (SES) in a lower track and students labeled with a higher SES in a higher track (Batruch, Autin, Bataillard, & Butera, 2018).Fuchs, Fuchs, Mathes, Lipsey, and Roberts (2002) found an effect size of -0.61 when teachers were given a label for a student having a disability in reading as opposed to when no label was provided the teacher. Rubie-Davies, Hattie, and Hamilton (2006) found that negative expectations influenced a teacher’s expectations beyond one student and generalized to lower expectations for the entire classroom. Hattie (2009) found an overall 0.43 effect size for a teacher’s positive expectations about student achievement.

In summary, there is evidence that teacher expectations can influence student achievement. This research suggests that teachers need to be trained in emphasizing high expectations for students, and they need further training in how to identify implicit biases that can have a negative impact on student performance.

  1. Communicating Clearly

Anecdotally, teachers spend much of the day communicating with students through talking. Research on effective verbal communication suggests that clearly communicated lessons along with explicitly announced expectations have a positive impact on student performance (Fendick, 1990). In education, clarity has been defined as the methods by which teachers and principals effectively communicate expectations and instruction through verbal and nonverbal messaging (Chesebro & McCrosky 1998). It is how teachers facilitate the intended lesson using a precise selection of terms and the way they organize the presentation of the content; they offer examples to support the intended lesson, provide guided practice, and then assess the effectiveness of the instruction by sampling student learning (Fendick, 1990).

A meta-analysis examining the impact ofteacher clarity on student achievement gains found an effect size of 0.35 (Fendick, 1990). When teachers are not clear, students can become anxious and frustrated, and their acquisition of material and skills is reduced (Chesebro & McCrosky, 1998). Hattie (2009) reported a 0.75 effect size for teacher clarity on achievement. It is not surprising that vaguely communicated lessons produce poorer results and that explicit, clear instruction benefits learning. To maximize the impact of clarity of communication that benefits students, teacher and principal preparation programs need to incorporate these skills into their curricula.

  1. Instilling a Love of Learning or Motivating Students

Motivating students to enjoy learning is essential if the primary goal of education is to prepare students for success in life. Having a positive teacher-student relationship is an important ingredient in effective teaching (Marzano et al., 2003). A meta-analysis of six studies found that motivation had an effect size of 0.48 on student achievement (Hattie, 2009). As a rule, teachers should maintain a ratio of four or five positive interactions for every negative interaction if they are to sustain a positive relationship with students (Gable, Hester, Rock, & Hughes, 2009; Gottman, 1994; Kalis, Vannest, & Parker, 2007).

Students who are motivated tend to excel and, conversely, students who are not motivated perform more poorly (Hattie, 2009; Schiefele, Krapp, & Winteler, 1992). Fundamentally, we can infer students are motivated when they engage in an activityand they are unmotivated when they avoid or escape the activity. Student motivation in a subject is highest when students are competent, have autonomy to act, and receive affirmation for having successfully accomplished a task (Dörnyei, 2001). Motivation is low when students have insufficient knowledge or the skills to successfully complete the task assigned to them (Hattie, 2009). Students who consistently fail, encounter public embarrassment, or do notexperience positive acknowledgment for their efforts will most likely not develop a long-term interest in the subject area. It is imperative that teachers find ways to build positive relationships with students to motivate them to be successful.

The value of intrinsic and extrinsic motivation has been debated for more than 50 years (Deci, 1971; Skinner, 1953). By 1970, hundreds of studies within the operant tradition established that extrinsic rewards can influence behavior. Still, many have argued that extrinsic reinforcement has a negative impact on student development. Some have even described extrinsic reinforcement strategies as bribery (Kohn, 1993). Despite this clash, ample data in the fields of psychology and economics since the 1960s support the use of external contingencies (Cameron & Pierce, 1994; Lazear 2000). Although studies show mixed results, there is evidence that extrinsic motivation not only is not harmful but, when used appropriately, can increase intrinsic motivation (Cameron & Pierce, 1996; Eisenberger & Cameron, 1996). A 1992 meta-analysis on extrinsic motivation suggested that in many of the reviewed studies, the procedures were poorly operationalized (Wiersma, 1992). This is important as the outcome of a study depends on the specificity of the intervention’s procedures as well as how effectively the intervention is implemented. It is not surprising that vaguely defined interventions produce ambiguous results. In education, it is common to see very different practices promoted under the same label, resulting in confusion about the power of the intervention to produce positive outcomes for students (Wing Institute: Charter Schools; Wing Institute Paper: Induction).

Ultimately, teachers are mandated to work with all students, even those who are not excited or inspired. Not all students are equally motivated by the subjects mandated in education standards. To be successful, teachers need evidence-based methods to engage these students. Building a positive teacher-student relationship is a powerful first step. Using an external reinforcer is a practical and efficient next option for strengthening the relationship and boosting student motivation. Best practices indicate that extrinsic reinforcement programs should be time limited, with the goal of scaling back tangible reinforcement (awards, activities, stickers, token economy, edibles, etc.), and moving to social praise as students achieve success (Cooper, Heron, & Heward, 1987).

  1. Persevering

Being successful in most endeavors requires persistence. Failure is commonin life. Distractions are inevitable. Everyone must experience and effectively adjust to challenges and frustrations to thrive. The Oxford Dictionary defines perseverance as steadfastness and resilience in doing something despite difficulty or delay in achieving success. It means staying with the task and not giving up. Being persistent in elementary schooland high schoolstrongly correlates with post-secondary education and a person’s occupation and income level after leaving school (Choy, 2002; Laube, 1992). Although few studies on the subject of teacher perseverance exist, there is research on practices that teachers can use to increase student persistence.  (How can teachers increase student perseverance?)

  1. Adapting to Novel Situations

The classroom is a very dynamic environment. It has been widely quoted that teachers make between 1,200 and 1,500 decisions a day (Jackson, 1990). The majority of the issues requiring decisions are unplanned and unpredictable, requiring teachers to use their judgment based on training, available evidence, and experience.Teacher decisions entail responding to student questions, managing student behavior, responding to administration requests, adjusting to changes in the schedule, addressing safety issues, ensuring that choices are compliant with policies and regulations, and managing countless miscellaneous student matters.

Only on rare occasions does the available evidence perfectly match the service context of concern. To bridge the gap between research and local circumstances, the educator must make a series of judgments such as defining the problem, determining which evidence is relevant, and deciding which features of the local context are likely to require adaptations to the selected evidence-based intervention (Spencer, Detrich, & Slocum, 2012). The end result is that teachers must think on their feet, be flexible, and adjust planning and lessons to meet the often changing and unique needs of students. One of the most common teaching failures is an overreliance on academic and behavior management interventions and an underreliance on adjusting to and managing interventions to meet the needs of the moment (VanDerHeyden, 2013;VanDerHeyden & Harvey, 2013).

Recognizing the complex character of schools requires teachers to be adaptable to the demands of the moment. Planning is indispensable, but knowing how to adjust to the unexpected is essential to survival as an educator as well as necessary for making informed choices based on the best available evidence (Spencer et al., 2012). Dwight D. Eisenhower said, “Plans are worthless but planning is everything”(Eisenhower, 1957).This has relevance to educators, who must have a plan, but the fluid nature of the classroom also requires them to be flexible and prepared to adapt to the inevitable challenges of each new day.

  1. Showing Empathy and Cultural Sensitivity

An empathic disposition is considered a desirable trait in educators. Empathy is also linked to the effectiveness of teachers working in diverse settings with students of differing cultural backgrounds (McAllister & Irvine, 2002). Being able to recognize and comprehend the feelings of another is at the heart of empathy.Behaving empathetically is taking the perspective of another. This is important in an ethnically and culturally diverse society in which teachers must look beyond their own cultural values to effectively understand and respond to the perspectives of a diverse study body (Gay, 2000). For over 50 years, key education performance data including achievement scores, graduation rates, special education placement, school discipline, and juvenile justice consistently have reported lower outcomes for students from culturally and linguistically diverse backgrounds. Differences between home and school cultures likely have contributed to these outcomes (Sugai, O’Keeffe, & Fallon, 2012).

Being culturally responsive can mollify this picture. This requires incorporatingcultural characteristics, experiences, and perspectives of ethnically diverse students (Gay, 2002). When knowledge and skills being taught are positioned within the experiences of a student, instruction become more meaningful, relevant, and interesting, and hence students are more motivated to excel and achieve (Gay, 2002). Because culture strongly influences the attitudes, values, and behaviors that students and teachers bring to the instructional process, being culturally sensitive has a major role in bridging the tenacious achievement gap for students from ethnic, socioeconomic, and racial populations that differ from the Eurocentric culture that predominates within the United States (García, 1999; Lipka, Mohatt, & the Ciulisetet Group, 1998; Moses & Cobb, 2001). Discrimination is deeply embedded in U.S. culture. It is present in the labor market, in policing, in the courts, and in education (Bertrand, Chugh, & Mullainathan, 2005; Greenwald, & Krieger, 2006; Jost et al., 2009; Levinson, 2007; Quillian, Pager, Hexel, & Midtbøen, 2017). Explicit and implicit ethnic, racial, and cultural biases affect the way students are taught.

Teacher preparation programs must actively increase the diversity of applicants and graduating teachers (Holinside, 2017). Teacher preparation programs must train teachers in curricula and instructional strategies that will address racial, ethnic, and cultural issues. Lessons must be developed to include culturally relevant examples and context when teachers are implementing prescribed curricula and developing teacher developed lessons (Ladson-Billings, 1995). It is important to increase teacher knowledge of the diversity of cultures they will encounter in the classroom. Teachers should be trained to have high expectations for all students. They should be instructed in the impacts of bias; in how to build a classroom climate that is conducive to and supports a culturally diverse student population; and in methods for opening cross-cultural communication among students. This type of teacher preparation requires knowledge of the specific cultures of ethnic groups, how these cultural values impact learning, and how to adjust curriculum and instruction in a way that respects and values our differences as people (Gay, 2002). School recruitment and hiring practices should be designed to identify and avoid candidates who are explicitly biased. Finally, a combination of strategies available for teacher pre-service and in-service training are designed to mitigate the impact of implicit and explicit bias. These include stereotype replacement, counterstereotype imaging, individualization, perspective taking, increasing opportunities for positive engagement of people outside the teacher’s culture, and feedback when bias is observed (Devine, Forscher, Austin, & Cox, 2012).

  1. Being an Effective Problem Solver

Being an effective problem solver is viewed as an important skill set across many professions (Snyder & Snyder, 2008).Having a mastery of problem solving has been identified as best practice for school psychologists (Deno, 1995; Thomas & Grimes, 1995). Problem solving is seen as fundamental to building effective evidence-based practices in schools (Tilly, 2008).Response to Intervention (RtI), an education decision-making framework, has been described as "synonymous with problem solving" (Fuchs, Fuchs, et al., 2003).

Teaching is awash with opportunities for teachers to solve problems.Given the complex nature of the job and the need for teachers to make more than a thousand decisions a day, accomplishing the fundamental responsibilities of the profession requires effective problem solving. Two key problem-solving strategies are generally employed in schools: (1) problem solving independently managed by a teacher throughout the school day, and (2) problem solving conducted as a member of an interdisciplinary team (Vaccarello, 2012).

Over the years numerous models of problem solving have evolved. Although each model offers its own specific procedures and protocols, the underlying components are remarkably similar (Bartels & Mortenson, 2005; Fuchs, Mock, Morgan, & Young, 2003).Effective problem solving includes a collection of core practice components: defining the problem, reading and interpreting data, establishing the cause of the problem, identifying possible solutions, assessing the viability of solutions, examining possible unintended consequences associated with possible solutions, designing effective implementation plans, and evaluating a solution’s impact on solving the problem (Hattie, 2009).

Notwithstanding general agreement on what constitutes effective problem solving, there is a dearth of research supporting the acceptance of including problem-solving training in teacher preparation curricula[C2] or for systematic in-service training in the field. Preliminary research has shown promising outcomes of professional development in improving problem-solving effectiveness, but little evidence exists that schools are spending adequate time and effort to establish practice components or to invest in problem-solving protocols, provide feedback and coaching to teachers, and assess the implementation of teacher or team-based problem-solving solutions (Burns, Peters, & Noell, 2008; Lundahl, 2010). Establishing such systems is one the most effective ways to increase teacher problem-solving skills required to address the academic, behavioral, and social-emotional challenges of students.

  1. Working Well With Others and Being a Member of a Team

Teams are not a new phenomenon; they have been in use for over 2,000 years and have been a basic building block of military organizations (Shuffler, Pavlas, & Salas, 2012). Shuffler et al. found that when utilized in the military, teams have shown importance in accomplishing challenging goals, developing solutions to vexing problems, and overcoming obstacles to achieving critical missions. In business, teams have been shown to increase both quality and productivity (Daniels & Whitener, 2000; Rummler & Brache, 2012). Teams have been used extensively in the field of medicine to improve patient outcomes (Kozlowski, & Bell, 2003; Meltzer, et al., 2010). Research on team effectiveness in various fields has found an overall positive effect in improving performance outcomes and staff attitudes (Richter, Dawson, & West, 2011; Mathieu, Maynard, Rapp, & Gilson, 2008).An abundance of research has found a positive effect for teams on various outcomes; however, most of these studies have come from outside the field of education (Clark, 2003; Delise, Allen Gorman, Brooks, Rentsch, & Steele‐Johnson, 2010; Devine & Phillips, 2000; Gully, Incalcaterra, Joshi, & Beaubien, 2002;Salas, Stagl, and Burke, 2004; Webber & Donahue, 2001).Although fewer studies have been education based, a sufficient body of research exists to suggest that teams can be an effective strategy for accomplishing critical educational goals (Gully et al., 2002; Joshi & Jackson, 2003).

A team is defined as a minimum of two people who interact with one another in an interdependent and adaptive manner to reach a common goal (Salas, Dickinson, Converse, & Tannenbaum, 1992). The use of teams in education has expanded over the past 30 years (Somech, 2008), offering educators a tool with the capacity to accomplish certain tasks more efficiently and effectively than could be achieved by an individual(Chen, Kirkman, Kanfer, Allen, & Rosen, 2007; Wayman, Midgley, & Stringfield, 2006). Teams offer advantages by increasing member motivation, coordinating efforts toward a common goal, increasing creativity by maximizing diverse viewpoints, bringing together expertise from different disciplines, and increasing the buy-in from staff required to implement new practices (Drury, 1984; Kozlowski, & Bell, 2003).

Teams perform many functions in schools and fall into two general categories: permanent teams and temporary teams. Permanent teams are established for specialized functions such as improving curricula or coordinating services for students in RtI. Temporary teams are organized for a particular short-term purpose and are meant to be dissolved when the task is accomplished, such as implementing a schoolwide behavior management system (Oswald, 1996). Other types of teams used in education are horizontal grade-level teams and vertical teams, which work across grade levels. A vertical team generally includes a teacher from each grade level as well as a special education teacher or other specialist teachers. A grade-level team is composed of teachers and other specialists required for accomplishing specific tasks associated with the effective operation of systems and practices common within a specific grade.

Effective teams that are sustainable do not happen by chance; they require planning, organization, and training of participants. Key to the successful implementation of teams in school systems is training in two critical areas: (1) team infrastructure and (2) critical interpersonal skills for individual team members. Teams require instruction in developing an infrastructure that specifies policies, processes, roles, and expectations to increase team efficiency and productivity(Delise et al., 2010). An effective infrastructure for a team requires a clear mission, a formal agreement, defined roles (leader, note taker, etc.), budgetary parameters, decision-making protocols, coherent and measurable goals, time lines for goal completion, assignment of personnel responsible for completing assignments, and systems for holding people accountable (Kozlowski & Bell, 2003). Essential interpersonal skills include clear and assertive communication, competence in conflict resolution, project management capabilities, and knowledge of social influence (persuasion) methods (Drury, 1984; Gibert, Tozer, & Westoby, 2017; Gillard, 2009; Salas, Tannenbaum, Cohen, & Latham, 2013).

In summary, teachers and education specialists working together can have a significant impact on the effective and efficient running of schools. Working as member of a team has been shown to have a medium effect size on student achievement (Eells, 2011).

      9. Managing time and personal productivity

Teachers commonly express concern about having insufficient time to do the job (Collinson & Fedoruk Cook, 2001; Dibbon, 2004).The difficulty of balancing long hours of teaching with personal time is another complaint voiced by teachers (Clandinin et al., 2015). Teachers often report that their profession is highly demanding and stressful (Byrne, 1994; Kyriacou, 1987). Long hours were found to be a contributing factor in the persistently high rates of teacher turnover (Keigher, 2010). Effective time management has been suggested as an important strategy for teachers to more effectively manage the responsibilities of teaching and increase job satisfaction (Hung, Oi, Chee, & Man, 2007).

Time management is the process by which individuals organize their time to more effectively accomplish tasks and goals (Schuler, 1979).Effective time management has been associated with increased job satisfaction, reduced burnout, reduced stress, and increased productivity (Peeters, & Rutte, 2005).The vast majority of research on time management has been conducted in the field of business. Few rigorous studies directly address teacher time management. A study of college students conducted by Ocak and Boyraz (2016)found a moderate correlation student procrastination and poor and ineffective time management. Another study of college students found that time management skills were the leading factor in increased grade point averages and the second leading factor in a student’s personal success (George, 2012).

Literature reviews on the topic generally classify time management skills and activities into seven categories: time analysis, planning, setting goals, prioritizing, scheduling, organizing, and establishing new and improved time habits (Claessens, Van Eerde, Rutte, & Roe, 2007; Hellsten, 2012; Morris, 2001; Woolfolk & Woolfolk, 1986). Crutsinger (1994) wrote that time management involved setting goals, deciding which tasks were the most important and determining which needed to be scheduled for a later time (prioritizing), accurately estimating the amount of time needed for each task (time estimation), being flexible and adjusting to unanticipated events that inevitably interrupt the best made plans (problem solving), monitoring one’s own performance and adapting goals and priorities as necessary (evaluation), and observing patterns and trends in behavior.

The first step in effectively managing time is for an individual to clearly know the following: what he or she needs to accomplish, what tasks are expected by supervisors, and when assignments are to completed (Soucie, 1986). From this information, the individual can devise a plan for allocating time to complete the tasks. One of the greatest challenges is keeping to the plan. It is essential that a teacher develop the necessary strategies to minimize the inevitable distractions that disrupt his or her schedule, interfering with goal completion and diverting time away from established priority goals. Becoming distracted from the task at hand causes time lines to be missed and increases stress (Peeters & Rutte, 2005; Soucie, 1986).A keyfactor in increasing effective time management is performance feedback. Teachers work within a system that includes teams they are assigned to and the school’s administrative staff. The school principal and team members are important sources for holding a teacher accountable for assigned goals and tasks. If individuals in the work environment do not view on-time task and goal completion as vital, it is very likely these activities will not happen or will not be completed on time.

Summary

Much has been written about the importance of soft skills. There is a substantial body of research to support the need for being proficient in the key soft skills discussed in this overview. These skills are personal competencies that are valuable across most professions, including teaching. Although there is a large body of research on the topic, much needs to be done to increase both the quantity and the quality of research on soft skills specifically in education. Still, given the need to effectively prepare teachers today, the best available evidence is sufficient to guide those developing a curriculain soft skills for teacher pre-service and in-service training. These skills should be taught to every teacher and should become a part of every teacher’s repertoire. 

Citations

Bartels, S. M., & Mortenson, B. P. (2005). Enhancing adherence to a problem-solving model for middle-school pre-referral teams: A performance feedback and checklist approach. Journal of Applied School Psychology22(1), 109–123.

Batruch, A., Autin, F., Bataillard, F., & Butera, F. (2018). School selection and the social class divide: How tracking contributes to the reproduction of inequalities. Personality and Social Psychology Bulletin. doi.org/10.1177/0146167218791804

Bertrand, M., Chugh, D., & Mullainathan, S. (2005). Implicit discrimination. American Economic Review95(2), 94–98. 

Burns, M. K., Peters, R., & Noell, G. H. (2008). Using performance feedback to enhance implementation fidelity of the problem-solving team process. Journal of School Psychology, 46(5), 537–550.

Byrne, B. M. (1994). Burnout: Testing for the validity, replication, and invariance of causal structure across elementary, intermediate, and secondary teachers. American Educational Research Journal31(3), 645–673.

Cameron, J., & Pierce, W. D. (1994). Reinforcement, reward, and intrinsic motivation: A meta-analysis. Review of Educational Research, 64(3), 363–423.

Cameron, J., & Pierce, W. D. (1996). The debate about rewards and intrinsic motivation: Protests and accusations do not alter the results. Review of Educational Research, 66(1), 39–51.

Chen, G., Kirkman, B. L., Kanfer, R., Allen, D., & Rosen, B. (2007). A multilevel study of leadership, empowerment, and performance in teams. Journal of Applied Psychology92(2), 331–346.

Chesebro, J. L., & McCroskey, J. C. (1998). The relationship of teacher clarity and teacher immediacy with students’ experiences of state receiver apprehension. Communication Quarterly46(4), 446–456.

Choy, S. P. (2002). Access and persistence: Findings from 10 years of longitudinal research on students.Washington, DC: American Council on Education, Center for Policy Analysis.

Claessens, B. J., Van Eerde, W., Rutte, C. G., & Roe, R. A. (2007). A review of the time management literature. Personnel Review36(2), 255–276.

Clandinin, D. J., Long, J., Schaefer, L., Downey, C. A., Steeves, P., Pinnegar,… Wnuk, S. (2015). Early career teacher attrition: Intentions of teachers beginning. Teaching Education26(1), 1–16.

Clark, R. E. (2003). Fostering the work motivation of individuals and teams. Performance Improvement42(3), 21–29.

Collinson, V., & Fedoruk Cook, T. (2001). “I don’t have enough time”—Teachers’ interpretations of time as a key to learning and school change. Journal of Educational Administration39(3), 266–281.

Cornelius-White, J. (2007). Learner-centered teacher-student relationships are effective: A meta-analysis. Review of Educational Research, 77(1), 113–143.

Crutsinger, C. (1994). Thinking smarter: Skills for academic success.Carrollton, TX: Brainworks. 

Daniels, A. C., (2000). Bringing out the best in people: How to apply the astonishing power of positive reinforcement. New York, NY: McGraw-Hill.

Davis, S. H. (1998). Superintendents’ perspectives on the involuntary departure of public school principals: The most frequent reasons why principals lose their jobs. Educational Administration Quarterly34(1), 58–90.

Deci, E. L. (1971). Effects of externally mediated rewards on intrinsic motivation. Journal of Personality and Social Psychology, 18,105–115.

Delise, L. A., Allen Gorman, C., Brooks, A. M., Rentsch, J. R., & Steele‐Johnson, D. (2010). The effects of team training on team outcomes: A meta‐analysis. Performance Improvement Quarterly22(4), 53–80.

Deno, S. L. (1995). School psychologist as problem solver. In A. Thomas & J. Grimes (Eds.), Best practices in school psychology III(pp. 471–484). Bethesda, MD: National Association of School Psychologists.

Devine, D. J., & Phillips, J. L. (2000). Do smarter teams do better? A meta-analysis of team-level the cognitive ability and team performance. Paper presented at the 15th Annual Conference of the Society for Industrial and Organizational Psychology, New Orleans, LA.

Devine, P. G., Forscher, P. S., Austin, A. J., & Cox, W. T. (2012). Long-term reduction in implicit race bias: A prejudice habit-breaking intervention. Journal of Experimental Social Psychology48(6), 1267–1278.

Dibbon, D. C. (2004). It’s about Time!! A Report on the Impact of Workload on Teachers and Students. St. John’s, NL: Memorial University of Newfoundland.

Dörnyei, Z. (2001). Motivational strategies in the language classroom.Cambridge, UK: Cambridge University Press.

Drury, S. S. (1984). Assertive supervision: Building involved teamwork. Champaign, IL: Research Press.

Dusek, J. B., & Joseph, G. (1983). The bases of teacher experiences: A meta-analysis. Journal of Educational psychology75(3), 327–346.

Eells, R. J. (2011).Meta-analysis of the relationship between collective teacher efficacy and student achievement(Doctoral dissertation).Retrieved from https://ecommons.luc.edu/luc_diss/133

Eisenberger, R., & Cameron, J. (1996). Detrimental effects of reward: Reality or myth? American Psychologist, 51(11), 1153–1166.

Eisenhower, D. D. (1957). Remarks at the National Defense Executive Reserve Conference. Retrieved from www.presidency.ucsb.edu/ws/?pid=10951

Fendick, F. (1990). The correlation between teacher clarity of communication and student achievement gain: A meta-analysis(Unpublished doctoral dissertation). University of Florida, Gainesville. Retrieved from https://archive.org/details/correlationbetwe00fend/page/n0

Fuchs, D., Fuchs, L. S., Mathes, P. G., Lipsey, M. W., & Roberts, P. H. (2002). Is “learning disabilities” just a fancy term for low achievement? A meta-analysis of reading differences between low achievers with and without the label. In R. Bradley, L. Danielson, & D. P. Hallahan (Eds.), Identification of learning disabilities: Research to practice (pp. 737–762). Mahwah, NJ: Erlbaum.

Fuchs, D., Mock, D., Morgan, P. L., & Young, C. L. (2003). Responsiveness‐to‐intervention: Definitions, evidence, and implications for the learning disabilities construct. Learning Disabilities Research and Practice18(3), 157–171.

Fuchs, L. S., Fuchs, D., Prentice, K., Burch, M., Hamlett, C. L., Owen, R., & Schroeter, K. (2003). Enhancing third-grade students’ mathematical problem solving with self-regulated learning strategies. Journal of Educational Psychology95(2), 306–315.

Gable, R. A., Hester, P. H., Rock, M. L., & Hughes, K. G. (2009). Back to basics: Rules, praise, ignoring, and reprimands revisited. Intervention in School and Clinic, 44(4), 195–205.

García, E. (1999). Student cultural diversity: Understanding and meeting the challenge. Boston: Houghton Mifflin.

Gay, G. (2000). Culturally responsive teaching: Theory, research, and practice. New York, NY: Teachers College Press.

Gay, G. (2002). Preparing for culturally responsive teaching. Journal of Teacher Education53(2), 106–116.

George, D. (2012). A practical application of time management.Retrieved from https://www.intechopen.com/books/time-management/a -of-time-management

Gibert, A., Tozer, W. C., & Westoby, M. (2017). Teamwork, soft skills, and research training. Trends in Ecology and Evolution32(2), 81–84.

Gillard, S. (2009). Soft skills and technical expertise of effective project managers. Issues in Informing Science and Information Technology6, 723–729.

Goo, S. (2015). The skills Americans say kids need to succeed in life. Retrieved from http://www.pewresearch.org/fact-tank/2015/02/19/skills-for-success/

Gottman, J. M. (1994). Why marriages succeed or fail.New York, NY: Simon & Schuster.

Greenwald, A. G., & Krieger, L. H. (2006). Implicit bias: Scientific foundations. California Law Review94(4), 945–967.

Gully, S. M., Incalcaterra, K. A., Joshi, A., & Beaubien, J. M. 2002. A meta-analysis of team-efficacy, potency, and performance: Interdependence and level of analysis as moderators of observed relationships. Journal of Applied Psychology, 87(5), 819–832.

Harris, M. J., & Rosenthal, R. (1985). Mediation of interpersonal expectancy effects: 31 meta-analyses. Psychological Bulletin, 97,363­–386.

Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement.New York, NY: Routledge.

Heckman, J. J., & Kautz, T. (2012). Hard evidence on soft skills. Labour Economics19(4), 451–464.

Hellsten, L. A. M. (2012). What do we know about time management? A review of the literature and a psychometric critique of instruments assessing time management. Retrieved from https://www.intechopen.com/books/time-management/what-do-we-know-about-time-management-a-review-of-the-literature-and-a-psychometric-critique-of-inst

Hollinside, M. M. (2017). Education reparation: an examination of Black teacher retention (Doctoral dissertation).

Horng, E. L., Klasik, D, & Loeb, S. (2010). Principal’s time use and school effectiveness. American Journal of Education, 116(4), 491–523.

Hung, C. M., Oi, A. K., Chee, P. K., & Man, C. L. (2007). Defining the meaning of teacher success in Hong Kong. In T. Townsend & R. Bates (Eds.), Handbook of teacher education (pp. 415–432). Springer, Dordrecht.

Jackson, P. W. (1990). Life in classrooms. New York, NY: Teachers College Press.

Joshi, A., & Jackson, S. E. (2003). Understanding work team diversity: Challenges and opportunities. In M. West, D. Tjosvold, & K. Smith (Eds.), The international handbook of organizational teamwork and cooperative working(pp. 277–296). Hoboken, NJ: John Wiley & Sons.

Jost, J. T., Rudman, L. A., Blair, I. V., Carney, D. R., Dasgupta, N., Glaser, J., & Hardin, C. D. (2009). The existence of implicit bias is beyond reasonable doubt: A refutation of ideological and methodological objections and executive summary of ten studies that no manager should ignore. Research in Organizational Behavior29, 39–69.

Kalis, T. M., Vannest, K. J., & Parker, R. (2007). Praise counts: Using self-monitoring to increase effective teaching practices. Preventing School Failure: Alternative Education for Children and Youth, 51(3), 20–27.

Keigher, A. (2010). Teacher attrition and mobility: Results from the 2008–09 teacher follow-up survey (NCES 2010-353). U.S. Department of Education. Washington, DC: National Center for Education Statistics.

Kohn, A. (1993). Why incentive plans cannot work. Harvard Business Review,71(5), 54–63. Retrieved from http://study.huizhou.gov.cn/lessionnew/bdmpa/MPA-A15/contents/case/cas_008_01.pdf

Kozlowski, S. W., & Bell, B. S. (2003). Work groups and teams in organizations. In W. C. Borman, D. R. Ilgen, & R. J. Klimoski (Eds.), Handbook of Psychology (Vol. 12): Industrial and Organizational Psychology(pp. 333–375). New York, NY: Wiley-Blackwell.

Kyriacou, C. (1987). Teacher stress and burnout: An international review. Educational Research29(2), 146–152.

Ladson-Billings, G. (1995). Toward a theory of culturally relevant pedagogy. American educational research journal32(3), 465-491.

Laker, D. R., & Powell, J. L. (2011). The differences between hard and soft skills and their relative impact on training transfer. Human Resource Development Quarterly22(1), 111–122.

Laube, M. R. (1992). Academic and social integration variables and secondary student persistence in distance education. Research in Distance Education, 4(1), 2–9.

Lazear, E. P. (2000). Performance pay and productivity. American Economic Review90(5), 1346–1361.

Levinson, J. D. (2007). Forgotten racial equality: Implicit bias, decision-making, and misremembering. Duke Law Journal57, 345–424.

Lipka, J., & Mohatt, G. V., & the Ciulistet Group.(1998). Transforming the culture of schools: Yup’ik Eskimo examples. Mahwah, NY: Erlbaum.

Lundahl, A. (2010). Effects of performance feedback and coaching on the problem-solving process: Improving the integrity of implementation and enhancing student outcomes(Doctoral dissertation). Retrieved from ERIC Digest (ED522466).

Marzano, R. J., Marzano, J. S., & Pickering, D. (2003). Classroom management that works: Research-based strategies for every teacher. Alexandria, VA: ASCD.

Mathieu, J., Maynard, M. T., Rapp, T., & Gilson, L. (2008). Team effectiveness 1997–2007: A review of recent advancements and a glimpse into the future. Journal of management34(3), 410–476.

Matteson, M. L., Anderson, L., & Boyden, C. (2016). “Soft Skills”: A phrase in search of meaning. Portal: Libraries and the Academy16(1), 71–88.

McAllister, G., & Irvine, J. J. (2002). The role of empathy in teaching culturally diverse students: A qualitative study of teachers’ beliefs. Journal of Teacher Education53(5), 433–443.

Meltzer, D., Chung, J., Khalili, P., Marlow, E., Arora, V., Schumock, G., & Burt, R. (2010). Exploring the use of social network methods in designing healthcare quality improvement teams. Social Science & Medicine71(6), 1119–1130. 

Morris, P. W. (2001). Updating the project management bodies of knowledge. Project Management Journal32(3), 21–30.

Moses, R. P., & Cobb, C. E., Jr. (2001). Radical equations: Math literacy and civil rights. Boston, MA: Beacon. 

Ocak, G., & Boyraz, S. (2016). Examination of the relation between academic procrastination and time management skills of undergraduate students in terms of some variables. Journal of Education and Training Studies4(5), 76–84.

Oswald, L. J. (1996). Work teams in schools.ERIC Digest, Number 103.

Peeters, M. A., & Rutte, C. G. (2005). Time management behavior as a moderator for the job demand-control interaction. Journal of Occupational Health Psychology10(1), 64–75.

Quillian, L., Pager, D., Hexel, O., & Midtbøen, A. H. (2017). Meta-analysis of field experiments shows no change in racial discrimination in hiring over time. Proceedings of the National Academy of Sciences114(41), 10870–10875.

Richter, A. W., Dawson, J. F., & West, M. A. (2011). The effectiveness of teams in organizations: A meta-analysis.International Journal of Human Resource Management22(13), 2749–2769.

Robinson, V., Lloyd, C., & Rowe, K. (2008). The impact of leadership on student outcomes: An analysis of the differential effects of leadership types. Educational Administration Quarterly, 44(5), 635–674.

Robles, M. M. (2012). Executive perceptions of the top 10 soft skills needed in today’s workplace. Business and Professional Communication Quarterly, 75(4), 453–465.

Rosenthal, R., & Rubin, D. (1978). Interpersonal expectancy effects: The first 345 studies. Behavioral and Brain Sciences, 3, 377–415.

Rubie, C. M. (2004). Expecting the best: Instructional practices, teacher beliefs and student outcomes (Unpublished doctoral dissertation). University of Auckland, New Zealand,database (UoA1207968).

Rubie‐Davies, C. M. (2006). Teacher expectations and student self‐perceptions: Exploring relationships. Psychology in the Schools43(5), 537–552.

Rubie‐Davies, C., Hattie, J., & Hamilton, R. (2006). Expecting the best for students: Teacher expectations and academic outcomes. British Journal of Educational Psychology76(3), 429–444.

Rummler, G. A., & Brache, A. P. (2012). Improving performance: How to manage the white space on the organization chart. San Francisco, CA: Jossey-Bass.

Salas, E., Dickinson, T. L., Converse, S.A., & Tannenbaum, S. I. (1992). Toward an understanding of team performance and training. In R. W. Swezey & E. Salas (Eds.), Teams: Their training and performance(pp. 3–29), Norwood, NJ: Ablex.

Salas, E., Stagl, K. C., & Burke, C. S. (2004). 25 years of team effectiveness in organizations: Research themes and emerging needs. International Review of Industrial and Organizational Psychology19, 47–91. 

Salas, E., Tannenbaum, S., Cohen, D., & Latham, G. (Eds.). (2013). Developing and enhancing teamwork in organizations: Evidence-based best practices and guidelines (Vol. 33). San Francisco, CA: Jossey-Bass.

Schiefele, U., Krapp, A., & Winteler, A. (1992). Interest as a predictor of academic achievement: A meta-analysis of research. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development(pp. 183-212). Hillsdale, NJ: Erlbaum.

Schuler, R. S. (1979). Managing stress means managing time. Personnel Journal58(12), 851–854. 

Schulz, B. (2008). The importance of soft skills: Education beyond academic knowledge. Journal of Language and Communication, 2(1), 146–154.

Shuffler, M. L., Pavlas, D., & Salas, E. (2012). Teams in the military: A review and emerging challenges. In J. H. Laurence & M. D. Matthews (Eds.), The Oxford handbook of military psychology(pp. 282–310). Oxford, UK: Oxford University Press.

Skinner, B. F. (1953). Science and human behavior.New York, NY: Macmillan.

Smith, M. L. (1980). Teacher expectations. Evaluation in Education4, 53–55.

Snyder, L. G., & Snyder, M. J. (2008). Teaching critical thinking and problem solving skills. The Delta Pi Epsilon Journal, L(2), 90–99.

Somech, A. (2008). Managing conflict in school teams: The impact of task and goal interdependence on conflict management and team effectiveness. Educational Administration Quarterly44(3), 359–390.

Soucie, D. (1986). Proper management of your time. CAHPER Journal52(2), 36.

Spencer, T. D., Detrich, R., & Slocum, T. A. (2012). Evidence-based practice: A framework for making effective decisions. Education and Treatment of Children35(2), 127–151. 

States, J. Detrich, R., Keyworth, R. (2012). Effective teachers make a difference. Oakland, CA: The Wing Institute. Retrieved from https://www.winginstitute.org/uploads/docs/Vol2Ch1.pdf

States, J., Detrich, R. & Keyworth, R. (2017). Effective Instruction Overview. Oakland, CA: The Wing Institute. Retrieved from https://www.winginstitute.org/effective-instruction-overview

Sugai, G., O’Keeffe, B. V., & Fallon, L. M. (2012). A contextual consideration of culture and school-wide positive behavior support. Journal of Positive Behavior Interventions14(4), 197–208.

Thomas, A., & Grimes, J. (Eds.). (1995). Best practices in school psychology III.Washington, DC: National Association of School Psychologists.

Tilly, W. D. (2008). The evolution of school psychology to science-based practice: Problem solving and the three-tiered model. In A. Thomas & J. Grimes (Eds.), Best practices in school psychology–5(pp. 17–36). Bethesda, MD: National Association of School Psychologists.

Vaccarello, C., A., (2012). Effects of a problem solving team intervention on the problem-solving process: Improving concept knowledge, implementation integrity, and student outcomes(Doctoral dissertation). Retrieved from https://www.winginstitute.org/uploads/docs/Cara%20Vaccarello%20Dissertation%20Final%20Deposit-1.pdf

VanDerHeyden, A. (2013). Are we making the differences that matter in education. In R. Detrich, R. Keyworth, & J. States (Eds.),Advances in evidence-based education: Vol 3(pp. 119–138). Oakland, CA: The Wing Institute. Retrieved from http://www.winginstitute.org/uploads/docs/Vol3Ch4.pdf

VanDerHeyden, A., & Harvey, M. (2013). Using data to advance learning outcomes in schools. Journal of Positive Behavior Interventions15(4), 205–213.

Wayman, J. C., Midgley, S., & Stringfield, S. (2006). Leadership for data-based decision-making: Collaborative data teams. In A. Danzig, K. Borman, B. Jones, & B. Wright (Eds.), New models of professional development for learner centered leadership (pp. 189–206). Mahwah, NJ: Erlbaum.

Webber, S. S., & Donahue, L. M. (2001). Impact of highly and less job-related diversity on work group cohesion and performance: A meta-analysis. Journal of management27(2), 141–162.

Whitehurst, G. J. (2016). Hard thinking on soft skills. Evidence Speaks Reports, Vol 1, No. 14. Washington, DC: Center on Children and Families at Brookings.

Wiersma, U. J. (1992). The effects of extrinsic rewards in intrinsic motivation: A meta‐analysis. Journal of Occupational and Organizational Psychology65(2), 101–114.

Woolfolk, A. E., & Woolfolk, R. L. (1986). Time management: An experimental investigation. Journal of school Psychology24(3), 267–275.

Wragg, E. C., Haynes, G. S., Wragg, C. M., & Chamberlin, R. P. (2005). Failing teachers?New York, NY: Routledge.

Publications

TITLE
SYNOPSIS
CITATION
Introduction: Proceedings from the Wing Institute’s Fifth Annual Summit on Evidence-Based Education: Education at the Crossroads: The State of Teacher Preparation.

This article shared information about the Wing Institute and demographics of the Summit participants. It introduced the Summit topic, sharing performance data on past efforts of school reform that focused on structural changes rather than teaching improvement. The conclusion is that the system has spent enormous resources with virtually no positive results. The focus needs to be on teaching improvement.

Keyworth, R., Detrich, R., & States, J. (2012). Introduction: Proceedings from the Wing Institute’s Fifth Annual Summit on Evidence-Based Education: Education at the Crossroads: The State of Teacher Preparation. In Education at the Crossroads: The State of Teacher Preparation (Vol. 2, pp. ix-xxx). Oakland, CA: The Wing

Teacher Soft Skills Overview

This overview examines the available research on the topic of soft skills (personal competencies) and how these proficiencies support the technical competencies required for success in school 

States, J., Detrich, R. & Keyworth, R. (2018). Overview of Teacher Soft Skills.Oakland, CA: The Wing Institute. https://www.winginstitute.org/teacher-compentencies-soft-skills.

 

Effective Teachers Make a Difference

This analysis examines the available research on effective teaching, how to impart these skills, and how to best transition teachers from pre-service to classroom with an emphasis on improving student achievement. It reviews current preparation practices and examine the research evidence on how well they are preparing teachers

States, J., Detrich, R. & Keywroth, R. (2012). Effective Teachers Make a Difference. In Education at the Crossroads: The State of Teacher Preparation (Vol. 2, pp. 1-46). Oakland, CA: The Wing Institute.

 

Presentations

TITLE
SYNOPSIS
CITATION
Effective Teaching Practices: Narrowing the Field
This paper distills the research on effective teaching practices to basic assumptions and core practices. It presents a impact-cost paradigm for rating and prioritizing such practices.
Heward, W. (2013). Effective Teaching Practices: Narrowing the Field [Powerpoint Slides]. Retrieved from 2013-wing-presentation-william-heward.
TITLE
SYNOPSIS
CITATION
Learner-centered teacher-student relationships are effective: A meta-analysis

This is a meta-analysis that examines teacher-student relations impact on student performance.

Learner-centered teacher-student relationships are effective: A meta-analysis Retrieved from http://rer.sagepub.com/content/77/1/113.full?patientinform-links=yes&legid=sprer;77/1/113.

Improving Student Achievement by Extending School: Is It Just a Matter of Time?

This document explores ways in which time can be used as an education resource. It opens with an overview of studies that indicate that American students trail their counterparts in other leading industrialized nations in academic achievement. It discusses research on the relationship between time and learning.

 

Aronson, J., Zimmerman, J., & Carlos, L. (1999). Improving Student Achievement by Extending School: Is It Just a Matter of Time?.

Soft skills of new teachers in the secondary schools of Khon Kaen Secondary Educational Service Area 25, Thailand.

This research objective was to study soft skills of new teachers in the secondary schools of Khon Kaen Secondary Educational Service Area 25, Thailand. The data were collected from 60 purposive samples of new teachers by interviewing and questionnaires. The results of this study were informed that new teachers have all of soft skills at high level totally. Communicative skills were highest among seven of soft skills and next Life-long learning and information management skills, Critical and problem solving skills, Team work skills, Ethics, moral and professional skills, Leadership skills and Innovation invention and development skills were lowest in all skills. Based on the research findings obtained, the sub-skills of seven soft skills will be considered and utilized in the package of teacher development program of next research.

Attakorn, K., Tayut, T., Pisitthawat, K., & Kanokorn, S. (2014). Soft skills of new teachers in the secondary schools of Khon Kaen Secondary Educational Service Area 25, Thailand. Procedia-Social and Behavioral Sciences112, 1010-1013.

 

Proceedings from the Wing Institute’s Fifth Annual Summit on Evidence-Based Education: Education at the Crossroads: The State of Teacher Preparation

This article shared information about the Wing Institute and demographics of the Summit participants. It introduced the Summit topic, sharing performance data on past efforts of school reform that focused on structural changes rather than teaching improvement. The conclusion is that the system has spent enormous resources with virtually no positive results. The focus needs to be on teaching improvement.

Aud, S., Hussar, W., Kena, G., Bianco, K., Frohlich, L., Kemp, J., & Tahan, K. (2011). The
Condition of Education 2011 (NCES 2011-033). Retrieved from http://nces.ed.gov/
pubs2011/2011033.pdf
Florida Department of Education. (n.d.). Class Size Reduction Amendment. Retrieved from
http://www.fdoe.org/classsize/
Gardner, D. P., Larsen, Y. W., Baker, W. O., Campbell, A., Crosby, E. A., Foster, C. A., Jr.,
...Wallace, R. (1983). A Nation at risk: The imperative for educational reform. An open letter
to the American people. A report to the nation and the secretary of education. Retrieved
from http://www.eric.ed.gov/ERICWebPortal/detail?accno=ED226006
Gorman, S. (2010). An Introduction to NAEP. (NCES 2010-468). Retrieved from http://nces.
ed.gov/nationsreportcard/pdf/parents/2010468.pdf
Grady, S., & Bielick, S. (2010). Trends in the Use of School Choice: 1993 to 2007 (NCES 2010-
004). Retrieved from http://nces.ed.gov/pubs2010/2010004.pdf
Hall, D., & Gutierrez, A. S. (1998). Getting Honest about High School Graduation. [PowerPoint
slides]. Retrieved from http://www.edtrust.org/sites/edtrust.org/fles/publications/fles/
Session14GettingHonestAboutHSGraduation.ppt
Howell, W., Peterson, P. E., & West, M. (2007).What Americans think about their schools: The
2007 Education Next—PEPG Survey. Education Next, 7(4), 12-26. Retrieved from http://
educationnext.org/what-americans-think-about-their-schools/
Luckie, M. S. (2009). California’s class-size-reduction program: Total spending since 1996.
[Interactive Graph]. Retrieved from http://californiawatch.org/k-12/californias-class-sizereduction-program-total-spending-1996
National Center for Education Statistics (NCES). (2010). The Nation’s Report Card: Grade
12 Reading and Mathematics 2009 National and Pilot State Results. (NCES 2011–455).
Retrieved from http://nces.ed.gov/nationsreportcard/pdf/main2009/2011455.pdf
National Center for Education Statistics (NCES). (2011a). Fast Facts. Retrieved from http://
nces.ed.gov/fastfacts/display.asp?id=30
National Center for Education Statistics (NCES). (2011b). The Nation’s Report Card:
Mathematics 2011. (NCES 2012–458). Institute of Education Sciences, U.S. Department
of Education, Washington, DC.
National Center for Education Statistics (NCES). (2011c). The Nation’s Report Card:
Reading 2011. (NCES 2012–457). Institute of Education Sciences, U.S. Department of
Education, Washington, DC.
National Center for Education Statistics (NCES). (2011d). Data Explorer for Long-Term Trend.
[Data fle]. Retrieved from http://nces.ed.gov/nationsreportcard/lttdata/
National Center for Education Statistics (NCES). (2012a). Mathematics: Grade 12 National
Results. Retrieved from http://nationsreportcard.gov/math_2009/gr12_national.asp?subtab_
id=Tab_3&tab_id=tab1#tabsContainer%20information
National Center for Education Statistics (NCES). (2012b). Reading: Grade 12 National Results.
Retrieved from http://nationsreportcard.gov/reading_2009/gr12_national.asp?subtab_
id=Tab_3&tab_id=tab1#tabsContainer information
Nichols, A., & Özek, U. (2010). Public School Choice and Student Achievement in the
District of Columbia. (Working Paper 53). Retrieved from National Center for Analysis of
Longitudinl Data in Education Research - Urban Institute website: http://www.urban.org/
url.cfm?ID=1001499
Organisation for Economic Cooperation and Development (OECD). (2006). PISA 2006
Technical Report. Paris: Author.
Organisation for Economic Cooperation and Development (OECD). (2010a). PISA 2009
Results: Learning to Learn – Student Engagement, Strategies and Practices (Volume III).
http://dx.doi.org/10.1787/9789264083943-en
xxx |
Proceedings of the 5th Annual Summit Introduction
Organisation for Economic Cooperation and Development (OECD). (2010b). PISA 2009
Results: What Makes a School Successful? – Resources, Policies and Practices (Volume
IV). Retrieved from http://dx.doi.org/10.1787/9789264091559-en
Organisation for Economic Cooperation and Development (OECD). (2010c). PISA 2009
Results: What Students Know and Can Do – Student Performance in Reading, Mathematics
and Science (Volume I). Retrieved from http://dx.doi.org/10.1787/9789264091450-en
Snyder, T. D., & Dillow, S. A. (2010). Digest of Education Statistics, 2009. (NCES 2010-013).
Retrieved from http://nces.ed.gov/pubs2010/2010013.pdf
Snyder, T. D., & Dillow, S.A. (2011). Digest of Education Statistics 2010 (NCES 2011-015).
Retrieved from http://nces.ed.gov/pubs2011/2011015.pdf
Stillwell, R. (2010). Public School Graduates and Dropouts From the Common Core of Data:
School Year 2007–08. (NCES 2010-341). National Center for Education Statistics, Institute
of Education Sciences, U.S. Department of Education. Washington, DC. Retrieved from
http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2010341
Zinth, K. (2010). Class-Size Policies. Retrieved from Education Commission of the States
website: http://www.ecs.org/clearinghouse/85/21/8521.pdf

Delayed reinforcement as an indiscriminable contingency in verbal/nonverbal correspondence training

The authors investigated the programming of generalization and maintenance of correspondence between verbal and nonverbal behavior in a preschool setting. Four children participated in a series of multiple‐baseline designs. In Experiment 1, delayed reinforcement of verbal behavior effectively controlled maintenance of correspondence with previously trained responses and also resulted in generalization of correspondence to one untrained response. As the latter effect was limited, Experiment 2 was a further assessment of the effects of delayed reinforcement of generalization of correspondence to untrained responses, and consistent generalization was shown. Experiment 2 also showed that generalization, if lost, could be recovered through use of “booster training,” in which the original contingencies were reinstated for a brief period. Experiment 3 provided replications, with two additional children, of the effects of delayed reinforcement on maintenance of correspondence. Results are discussed in terms of using delayed reinforcement as an indiscriminable contingency.

Baer, R. A., Williams, J. A., Osnes, P. G., & Stokes, T. F. (1984). Delayed reinforcement as an indiscriminable contingency in verbal/nonverbal correspondence training. Journal of Applied Behavior Analysis, 17(4), 429-440.

Enhancing Adherence to a Problem Solving Model for Middle-School Pre-Referral Teams: A Performance Feedback and Checklist Approach

This study looks at the use of performance feedback and checklists to improve middle-school teams problem solving.

Bartels, S. M., & Mortenson, B. P. (2006). Enhancing adherence to a problem-solving model for middle-school pre-referral teams: A performance feedback and checklist approach. Journal of Applied School Psychology, 22(1), 109-123.

School Selection and the Social Class Divide: How Tracking Contributes to the Reproduction of Inequalities

Selection practices in education, such as tracking, may represent a structural obstacle that contributes to the social class achievement gap. We hypothesized that school’s function of selection leads evaluators to reproduce social inequalities in tracking decisions, even when performance is equal. In two studies, participants (students playing the role of teachers, N = 99, or preservice and in-service teachers, N = 70) decided which school track was suitable for a pupil whose socioeconomic status (SES) was manipulated. Although pupils’ achievement was identical, participants considered a lower track more suitable for lower SES than higher SES pupils, and the higher track more suitable for higher SES than lower SES pupils. A third study (N = 160) revealed that when the selection function of school was salient, rather than its educational function, the gap in tracking between social classes was larger. The selection function of tracking appears to encourage evaluators to artificially create social class inequalities.

Batruch, A., Autin, F., Bataillard, F., & Butera, F. (2018). School Selection and the Social Class Divide: How Tracking Contributes to the Reproduction of Inequalities. Personality and Social Psychology Bulletin, 0146167218791804.

Research on Improving Teacher Time Management

The purpose of this action research was to explore how a new teacher could manage time while teaching third grade students.

Borek, J., & Parsons, S. (2004). Research on improving teacher time management. Academic Exchange Quarterly, 8(3), 27-31.

A review of the time management literature

The purpose of this article is to provide an overview for those interested in the current state‐of‐the‐art in time management research.

Brigitte J.C. Claessens, Wendelien van Eerde, Christel G. Rutte, Robert A. Roe, (2007) "A review of the time management literature", Personnel Review, Vol. 36 Iss: 2, pp.255 – 276

Reinforcement, reward, and intrinsic motivation: A meta-analysis.

This article reviews research on the effects of reinforcement/reward on intrinsic motivation. The main meta-analysis included 96 experimental stud- ies that used between-groups designs to compare rewarded subjects to nonrewarded controls on four measures of intrinsic motivation. Results indicate that, overall, reward does not decrease intrinsic motivation. When interaction effects are examined, findings show that verbal praise produces an increase in intrinsic motivation. The only negative effect appears when expected tangible rewards are given to individuals simply for doing a task. Under this condition, there is a minimal negative effect on intrinsic motiva- tion as measured by time spent on task following the removal of reward. A second analysis was conducted on five studies that used within-subject designs to evaluate the effects of reinforcement on intrinsic motivation; results suggest that reinforcement does not harm an individual's intrinsic motivation.

Cameron, J., & Pierce, W. D. (1994). Reinforcement, reward, and intrinsic motivation: A meta-analysis. Review of Educational research, 64(3), 363-423.

Intrinsic Motivation and Extrinsic Incentives Jointly Predict Performance: A 40-Year Meta-Analysis

More than 4 decades of research and 9 meta-analyses have focused on the undermining effect: namely, the debate over whether the provision of extrinsic incentives erodes intrinsic motivation. This review and meta-analysis builds on such previous reviews by focusing on the interrelationship among intrinsic motivation, extrinsic incentives, and performance, with reference to 2 moderators: performance type (quality vs. quantity) and incentive contingency (directly performance-salient vs. indirectly performance- salient), which have not been systematically reviewed to date. Based on random-effects meta-analytic methods, findings from school, work, and physical domains (k 􏰀 183, N 􏰀 212,468) indicate that intrinsic motivation is a medium to strong predictor of performance (􏰁 􏰀 .21– 45). The importance of intrinsic motivation to performance remained in place whether incentives were presented. In addition, incentive salience influenced the predictive validity of intrinsic motivation for performance: In a “crowding out” fashion, intrinsic motivation was less important to performance when incentives were directly tied to performance and was more important when incentives were indirectly tied to performance. Considered simultaneously through meta-analytic regression, intrinsic motivation predicted more unique variance in quality of performance, whereas incentives were a better predictor of quantity of performance. With respect to performance, incentives and intrinsic motivation are not necessarily antagonistic and are best considered simultaneously.

Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis. Psychological bulletin, 140(4), 980.

A review of the time management literature. Personnel Review

The purpose of this article is to provide an overview for those interested in the current state‐of‐the‐art in time management research. The review demonstrates that time management behaviours relate positively to perceived control of time, job satisfaction, and health, and negatively to stress. The relationship with work and academic performance is not clear. Time management training seems to enhance time management skills, but this does not automatically transfer to better performance.This review makes clear which effects may be expected of time management, which aspects may be most useful for which individuals, and which work characteristics would enhance or hinder positive effects. Its outcomes may help to develop more effective time management practices.

 

Claessens, B. J., Van Eerde, W., Rutte, C. G., & Roe, R. A. (2007). A review of the time management literature. Personnel Review36(2), 255–276.

Fostering the work motivation of individuals and teams

Solid evidence supports claims that motivational programs can increase the quality and quantity of performance from 20 to 40 percent. Motivation can solve three types of performance problems: 1) people are refusing to change; and/or 2) allowing themselves to be distracted and not persist at a key task; and/or 3) treating a novel task as familiar, making mistakes but not investing mental effort and taking responsibility because of overconfidence. Everyone is motivated to do or value whatever they believe will make us effective or successful. The challenge is to find ways to support the great variety of different individual and cultural beliefs held by different people about success and what makes them effective at work. However, there are universal demotivators and positive strategies that tend to motivate everyone, despite our different beliefs and values. After describing a number of general strategies for fostering individual motivation, the article focuses on the unique motivational issues faced by teams and how to overcome them.

Clark, R. E. (2003). Fostering the work motivation of individuals and teams. Performance Improvement42(3), 21–29.

 

“I don’t have enough time”—Teachers’ interpretations of time as a key to learning and school change

This study investigated inner-city middle school teachers' perceptions of the importance of time in learning and sharing information. Participating teachers were involved in a technology demonstration project, the Educators' Electronic Learning Community (EELC). Participants completed pre-interview surveys that had them rate their technological skills and ability to incorporate technology into instruction before and after participating in EELC. The survey identified ways that teachers shared what they had learned and discussed factors that helped or hindered them in sharing. Teacher interviews examined: knowledge, skills, and insights gained by participating in the EELC; methods used to share learning with colleagues; and factors affecting their ability to share what they learned. Teachers completed a post-interview survey, rating the strength of motivating and restraining factors and ranking their relative importance. Five important barriers to sharing all related to time: feeling overwhelmed; lack of discretionary time to learn; lack of discretionary time to share with colleagues; lack of common time; and lack of a designated time for sharing. Four other aspects of time also hindered learning and dissemination of learning to peers: lack of uninterrupted time; lack of unpressured time; lack of renewal time; and habitual time. 

Collinson, V., & Fedoruk Cook, T. (2001). “I don’t have enough time”—Teachers’ interpretations of time as a key to learning and school change. Journal of Educational Administration39(3), 266–281.

Educational time factors

The findings presented in this book are based on an analysis of 57 research studies concerned with the relationship between one or more of the educational time factors cited above and the student outcomes of achievement and attitudes. Twenty-nine are primary sources (studies or evaluations) and 28 are secondary source (reviews, syntheses, and meta-analyses).

Cotton, K., & Wikelund, K. (1990). Educational time factors. Portland, OR: Northwest Regional Educational Laboratory.

Superintendents’ perspectives on the involuntary departure of public school principals: The most frequent reasons why principals lose their jobs

Few studies have examined factors relating to ineffective school leadership. Such knowledge can help principals refine leadership behaviors and enhance job security. This study used experiences and perceptions from 99 California public school superintendents to examine the reasons why some principals lose their jobs. Superintendents' perceptions were compared with situational contexts and organizational outcomes. The results show that a principal's interpersonal relationships outweigh any other factor related to involuntary departure. In contrast to other studies, factors related to administrative skill were less important in explaining why principals lose their jobs. Low student achievement, failure to maintain a safe campus, or resistance to change had little influence on superintendents' decisions to remove a principal. Few differences in the reasons for involuntary departure were associated with district size or type. The relationship between certain organizational outcomes and the most frequent reasons for involuntary departure were not clear. Thus, the principal's effect on organizational outcomes appears to be indirect.

Davis, S. H. (1998). Superintendents’ perspectives on the involuntary departure of public school principals: The most frequent reasons why principals lose their jobs. Educational Administration Quarterly34(1), 58–90.

The effects of team training on team outcomes: A meta‐analysis

A meta‐analysis was conducted to determine relationships between team training and team effectiveness. Results from the 21 studies provided evidence that training is positively related to team effectiveness and effectiveness in five outcome categories: affective, cognitive, subjective task‐based skill, objective task‐based skill, and teamwork skill.

Delise, L. A., Allen Gorman, C., Brooks, A. M., Rentsch, J. R., & Steele‐Johnson, D. (2010). The effects of team training on team outcomes: A meta‐analysis. Performance Improvement Quarterly22(4), 53–80.

Implementation Quality: Lessons Learned in the Context of the Head Start REDI Trial

This study uses data collected in the intervention classrooms of Head Start REDI (Research- based, Developmentally Informed), a randomized clinical trial testing the efficacy of a comprehensive preschool curriculum targeting children’s social-emotional competence, language, and emergent literacy skills delivered by teachers who received weekly coaching support.

Domitrovich, C. E., Gest, S. D., Jones, D., Gill, S., & DeRousie, R. M. S. (2010). Implementation quality: Lessons learned in the context of the Head Start REDI trial. Early Childhood Research Quarterly25(3), 284-298.

Using habit reversal to decrease filled pauses in public speaking.

This study evaluated the effectiveness of simplified habit reversal in reducing filled pauses that occur during public speaking. Filled pauses consist of “uh,” “um,” or “er”; clicking sounds; and misuse of the word “like.” During post-intervention assessments, all 6 participants exhibited an immediate decrease in filled pauses.

Mancuso, C., & Miltenberger, R. G. (2016). Using habit reversal to decrease filled pauses in public speaking. Journal of applied behavior analysis49(1), 188-192.

Relating communication competence to teaching effectiveness: Implication for teacher education

This paper posits that teacher education should emphasize both content knowledge and communication skills. It follows up the contention by conceptualizing communication, exploring teacher communication competence, and finally suggesting the introduction of Teacher Communication Skills (TCS) course in the curricula of teacher education across levels.

Okoli, A. C. (2017). Relating Communication Competence to Teaching Effectiveness: Implication for Teacher Education. Journal of Education and Practice8(3), 150-154.

DEVELOPING SOFT SKILLS IN STUDENTS THROUGH CO-CURRICULUM ACTIVITY: A CASE STUDY OF UiTM CAWANGAN KELANTAN.

Soft skills are all about skills, abilities and traits pertain to personality, attitude and behavior that help non-technical and non-domain skills. These are correlation of several skills such as communication, problem solving, team building and leadership. In this cut-throat competitive world, students need to possess soft skills. Being good at soft skills promotes better relations among the people and help students to become a successful person. Thus, this study aims to investigate the development of soft skills in students through co-curriculum activity in UiTM Cawangan Kelantan.

Rashidi, R. A. M. DEVELOPING SOFT SKILLS IN STUDENTS THROUGH CO-CURRICULUM ACTIVITY: A CASE STUDY OF UiTM CAWANGAN KELANTAN.

Toward a histology of social behavior: Judgmental accuracy from thin slices of the behavioral stream.
This chapter focuses on thin slices and illustrates the efficiency of thin slices in providing information about social and interpersonal relations. A thin slice is “a brief excerpt of expressive behavior sampled from the behavioral stream.”
Ambady, N., Bernieri, F. J., & Richeson, J. A. (2000). Toward a histology of social behavior: Judgmental accuracy from thin slices of the behavioral stream. Advances in experimental social psychology, 32, 201-271.
Interpersonal Sensitivity: Theory and Measurement.
This book examines the major theorists and researchers of interpersonal sensitivity and their approaches.
Hall, J. A., & Bernieri, F. J. (Eds.). (2001). Interpersonal sensitivity: Theory and measurement. Psychology Press.
Through the Student’s Eyes: and Practice Guide for Teachers
This paper expands upon the standard definition of personalized learning to assert a multidimensional role for the teacher and vivify the place of motivation, metacognition, and social and emotional competency in personalized learning. Although this more comprehensive approach to personalized learning may be facilitated by technology, its tenets may be applied without technology or, more likely, in a blended context. Following an explication of this broader view of personalized learning, a lesson plan format is provided as a structure for personalizing learning.
Redding, S. (2013). Through the Student’s Eyes: and Practice Guide for Teachers. The Center on Innovations in Learning. Retrieved June 2, 2015 from http://www.centeril.org/publications/2013_09_Through_the_Eyes.pdf
Personal Competencies in Personalized Learning
This paper provides a personal competency framework for educators.
Redding, S. (2014). Personal Competencies in Personalized Learning. The Center on Innovations in Learning. Retrieved June 2, 2015 from http://www.centeril.org/publications/Personalized_Learning.pdf
Personal Competency: A Framework for Building Students’ Capacity to Learn
This research synthesis examines complex issues that must be addressed in the building student personal competencies.
Redding, S. (2014). Personal Competency: A Framework for Building Students’ Capacity to Learn. The Center on Innovations in Learning. Retrieved June 2, 2015 from http://www.centeril.org/publications/Personal_Compentency_Framework.pdf
The Something Other: Personal Competencies for Learning and Life
This paper examines the importance of personal competencies in education. Redding outlines four essential competency categories; Cognitive, Meta-cognitive, Motivational, and Social/Emotional.
Redding, S. (2014). The Something Other: Personal Competencies for Learning and Life. The Center on Innovations in Learning. Retrieved June 2, 2015 from http://www.centeril.org/publications/The_Something_Other.pdf
Personal Competencies / Personalized Learning Lesson Plan Reflection Guide
This “Lesson Plan Reflection Guide” provides a framework to support educators with their lesson plans to support personal competencies and personalized learning. It may serve both as a rubric for evaluating how well a lesson plan personalizes and addresses personal competency, as well as a guide for strengthening lessons to foster personalization and enhance personal competencies.
Twyman, J. and Redding, S. (2015). Personal Competencies / Personalized Learning Lesson Plan Reflection Guide. The Center on Innovations in Learning. Retrieved June 2, 2015 from http://www.ccsso.org/Documents/Personalized%20Learning%20Lesson%20Plan%20Reflection(0).pdf
Personal Competencies / Personalized Learning Reflection on Instruction: A Peer-to-Peer Learning and Observation Tool
Reflection on Instruction is a peer-to-peer observation tool designed to help teachers support and learn from one another in the course of personalized learning, including enhancing personal competencies for each and all students and using technology to support instruction. Using the tool enhances the ability to review and reflect on the lesson with accuracy and specificity, with a focus on student benefits across both instructional goals and personal competencies.
Twyman, J. and Redding, S. (2015). Personal Competencies / Personalized Learning Reflection on Instruction: A Peer-to-Peer Learning and Observation Tool. The Center on Innovations in Learning. Retrieved June 2, 2015 from http://www.ccsso.org/Documents/Peer%20to%20Peer(0).pdf
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Teaching Excellence & Educational Innovation: Solve a Teaching Problem

This site provides practical strategies to address teaching problems across the disciplines. These strategies are firmly grounded in educational research and learning principles.

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