September 6, 2017
Beall’s List of Predatory Journals and Publishers
This news item offers a list of questionable, scholarly open-access publishers. In an era in which we are bombarded with volumes of research, it becomes ever more challenging to decide which journals and publishers are reputable. This web site reviews, assesses, and provides guidelines on how to decide which are trustworthy, whether you want to submit articles, serve as an editor, or serve on an editorial board. The web site provides a list that mostly consists of open access journals, although, a few non-open access publishers whose practices match those of predatory publishers have been added to the list.
Citation: Beall, J. (2012). Predatory publishers are corrupting open access. Nature, 489(7415), 179.
Web Site: Beall’s List of Predatory Journals and Publishers
August 29, 2017
Restructuring Environmental Contingencies and Enhancing Self-Managed Supervision
The results of the 2016-17 Wing Institute’s research grant are now available on our web site. Laura Kern submitted the selected study that examines the effects of a brief training on active supervision and self-management and the use of a simple strategy of self-management (e.g., checklist and Direct Behavior Rating Scales to change adult behavior).
Three research questions were addressed related to recess supervisor and student behaviors:
- What are the effects of a brief training on self-management on recess supervisors’ active supervision behaviors?
- What are the effects of increasing active supervision on students’ problematic behavior during recess?
- Will any increase in recess supervisor’s use of self-management be maintained with the sole use of direct behavior rating scales as part of a self-management strategy of the adult active supervision
Link: Go to Research section
August 8, 2017
A Meta-Analysis of Class Sizes and Ratios in Early Childhood Education Programs: Are Thresholds of Quality Associated With Greater Impacts on Cognitive, Achievement, and Socioemotional Outcomes?
This meta-analysis of early childhood education programs in the U.S. examines the impact of class size and child to teacher ratios on the cognitive, achievement, and socioemotional outcomes for children. The study found no socially significant relationship with cognitive and achievement effect size for either class size or child to teacher ratios. The only notable improvement in effect size was found when child to teacher ratios were lower than 7.5-1.
Citation: Bowne, J. B., Magnuson, K. A., Schindler, H. S., Duncan, G. J., & Yoshikawa, H. (2017). A Meta-Analysis of Class Sizes and Ratios in Early Childhood Education Programs: Are Thresholds of Quality Associated With Greater Impacts on Cognitive, Achievement, and Socioemotional Outcomes?. Educational Evaluation and Policy Analysis, 0162373716689489.
August 4, 2017
Find Out If Your Job Will Be Automated
Bloomberg has published an interactive graphic that reveals valuable information on the probability of a particular employment path being impacted by automation. The graphic also provides information on average annual wage, number of people employed in the sector, and academic degree required for the job. This data is especially important as schools consider models for preparing students’ future careers. As schools are increasingly held accountable for career preparation, how can educators use this data to create career pathways that will adequately equip students with the skills and knowledge required for well-paying jobs obtainable when they graduate?
Citation: Whitehouse, M., & Rojanasakul, M. (2017). Find out if your job will be automated. Retrieved from
August 3, 2017
The Center on Standards, Alignment, Instruction, and Learning (C-SAIL)
C-SAIL was established in July 2015 as a resource on the implementation and effects of college and career readiness standards. The Center is funded through a grant from the Institute of Education Sciences (IES) of the U.S. Department of Education.
The goals of C-SAIL are:
- Compare and contrast college and career readiness standards implementation in English language arts (ELA) and math across different states.
- Capture the differences in approaches to implementation between states, districts, schools, and classrooms, and between students within a classroom, and determine their effects.
- Measure college and career readiness standards’ impact on student achievement, through NAEP scores, high school graduation rates, and college enrollment and employment rates.
- Create and make available new tools for teachers to monitor in real-time how well-aligned the content of their enacted curriculum is to their states’ college and career readiness standards in ELA and math.
- Test the Feedback on Alignment and Support for Teachers (FAST) Program to support teachers through feedback and coaching.
- Engage policymakers, education practitioners, and researchers in national discussions of the Center’s work and its findings.
Eight reports have been published in 2017.
- How is policy affecting classroom instruction?
- Standards Implementation in Kentucky: Local Perspective on Policy, Challenges, Resources, and Instruction
- Standards Implementation in Texas: Local Perspective on Policy, Challenges, Resources, and Instruction
- Standards Implementation In Ohio: Local Perspectives on Policy, Challenges, Resources, and Instruction
- Year 1 State Report: Texas
- Year 1 State Report: Ohio
- Year 1 State Report: Massachusetts
- Year 1 State Report: Kentucky
- Edgerton, A. Polikoff, M., Desimone, L. (2017). How is policy affecting classroom instruction?. Evidence Speaks Reports. Volume 2, #14. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Edgerton, A. Polikoff, M., Desimone, L. (2017). Standards Implementation in Kentucky: Local Perspective on Policy, Challenges, Resources, and Instruction. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Edgerton, A. Polikoff, M., Yang, R. (2017). Standards Implementation in Texas: Local Perspective on Policy, Challenges, Resources, and Instruction. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Edgerton, A. Polikoff, M., Yang, R. (2017). Standards Implementation in Ohio: Local Perspective on Policy, Challenges, Resources, and Instruction. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Flores, N., Nichols, T. P., Pak, K., Plummer, E., Stornaiuolo, A., and Desimone L. (2017). Year 1 State Report: Texas. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Stornaiuolo, A., Flores, N., Nichols, T. P., Pak, K., Plummer, E., and Desimone L. (2017). Year 1 State Report: Ohio. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Nichols, T. P., Plummer, E., Flores, N., Pak, K., Stornaiuolo, A., and Desimone L. (2017). Year 1 State Report: Massachusetts. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
- Pak, K., Flores, N., Nichols, T. P., Plummer, E., Stornaiuolo, A., and Desimone L. (2017). Year 1 State Report: Massachusetts. The Center on Standards, Alignment, Instruction, and Learning (C-SAIL).
August 3, 2017
The Relationship Between Teacher Qualification and the Quality of the Early Childhood Education and Care Environment
Research suggests that inadequate or poor-quality early education and care can lead to increased negative social, emotional, educational, health, economic, and conduct outcomes for children. This systematic review published by the Campbell Collaboration examines the evidence on the relationship between childcare teacher qualification and the quality of the care children receive. The study reveals that the higher the qualification, the higher the quality of the services delivered and, most important, the more positive the outcomes.
Citation: Manning, M., Garvis, S., Fleming, C., & Wong, G. T. W. (2017). The relationship between teacher qualification and the quality of the early childhood education and care environment. Campbell Systematic Reviews, 1. Oslo, Norway: Campbell Collaboration.
August 1, 2017
A Guide to Calculating District Expenditure-to-Performance Ratios Using Publicly Available Data
Efficient use of educational resources is a perennial challenge for school systems. Maximizing the impact of education interventions to magnify student achievement is an important goal for all school districts. This guide examines the use of expenditure-to-performance ratios as a critical indicator for school systems to help decide which interventions make sense when education dollars are at a premium. It describes how states and districts can use available data on district expenditures and student academic achievement to calculate six district-level expenditure-to-performance ratios.
Citation: Ryan, S., Lavigne, H. J., Zweig, J. S., & Buffington, P. J. (2017). A guide to calculating district expenditure-to-performance ratios using publicly available data. (REL 2017-179). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Northeast & Islands.
July 13, 2017
Government Accountability Office (GAO) Report on Department of Education Staffing
A recently released report from the GAO finds that overall staffing in the Department of Education has fallen from a high of 6,391 in 1981 to 4,077 in 2015, while contracting levels have remained relatively stable. It is important to note that the workload for Department of Education has grown as the budget for the department has increased significantly during this same period. More eliminations of personnel are expected as the Trump administration has called for a further 13.5% reduction. It is interesting to note that the entire federal workforce has experienced a 4% reduction in staffing from 1991 through 2015, while the Department of Education lost 12% of it’s personnel.
Citation: Foxx, V., Guthrie, B., Rokita, T. and Rothmam, G. (2107). Department of Education: Staffing Levels Have Generally Decreased Over Time, While Contracting Levels Have Remained Relatively Stable. US Government Accountability Office GAO-17-669R.
July 13, 2017
Promoting Positive Youth Development Through School-Based Social and Emotional Learning Interventions: A Meta-Analysis of Follow-Up Effects
This meta-analysis of school-based social and emotional learning (SEL) interventions examined the impact of SEL on key outcomes: social-emotional skills, positive attitudes, positive social behavior, academic performance, conduct problems, emotional distress, and drug use. A total of 82 studies met the criteria for inclusion in the meta-analysis. To be included, studies needed to examine school-based social and emotional learning interventions that were universal, or administered to all students, instead of focusing on students with specific social or behavioral problems. A majority of the studies used randomized designs, monitored implementation, and employed reliable and valid outcome measures. Researchers found that students in school-based SEL interventions demonstrated positive benefits in seven outcomes for 56 weeks to 195 weeks (3.75 years) following program participation. An effect size of 0.33 was found for academic performance (based on grades and test scores drawn from school records).
Citation: Taylor, R. D., Oberle, E., Durlak, J. A., & Weissberg, R. P. (2017). Promoting positive youth development through school-based social and emotional learning interventions: A meta-analysis of follow-up effects. Child Development, 88(4), 1156–1171.
July 12, 2017
Characteristics and Education Outcomes of Utah High School Dropouts Who Reenrolled
Reducing the dropout rate of high school students remains one of the great challenges facing education. The consequences for those who do not obtain a high school diploma are real and long lasting. Individuals who do not complete high school are more likely to face unemployment, earn less income over a lifetime, experience poverty, rely on public assistance, suffer health problems, and spend time in prison. This study undertaken by WestEd researchers provides valuable information necessary for developing interventions to support the approximate 20% of students who reenroll after initially dropping out of school.
Citation: Barrat, V. X.,& Berliner, B. (2016). Characteristics and education outcomes of Utah high school dropouts who re-enrolled (REL 2017–206). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory West.