Are growth mindsets important to academic achievement?

Mindset theory suggests that pupils with higher growth mindsets benefit from higher academic achievement, and therefore, interventions designed to increase pupils’ growth mindsets are thought to increase academic achievement. To evaluate this, Victoria Sisk and colleagues conducted two meta-analyses to assess to what extent and under which circumstances growth mindsets are important to academic achievement.

The first meta-analysis examined whether pupils’ mindsets were related to academic achievement. In the second, they looked at the effectiveness of growth mindset interventions on pupils’ academic achievement. For both analyses, academic achievement was measured using standardised test scores from more than 400,000 pupils.

The study, published in Psychological Science, found little to no impact for both meta-analyses, and effect sizes were inconsistent across studies. Overall, the first meta-analysis showed only a very weak relationship between mindsets and academic achievements. Similarly, only a very small overall effect for mindset interventions on academic achievement was demonstrated in the second meta-analysis.

Source: To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses (March 2018), Psychological Science DOI: 10.1177/0956797617739704

School-based mental health services for primary children

School-based services delivered by teachers and other school-based professionals can help reduce mental health problems in primary-age children, reports a study published in the Journal of the American Academy of Child and Adolescent Psychiatry.

The findings are based on a meta-analysis of 43 controlled trials involving almost 50,000 primary school children. The study examined the overall effectiveness of school-based mental health services, as well as the relative effectiveness of various school-based intervention models that differed according to treatment target, format and intensity.

Overall, school-based services had a small to medium effect (effect size = +0.39) in reducing mental health problems. Interventions that targeted child behaviour problems demonstrated the largest effect sizes (+0.76). Interventions that were implemented multiple times per week were found to be more than twice as effective as those that were only implemented on a weekly (or less) basis.

Source: The effectiveness of school-based mental health services for elementary-aged children: A meta-analysis (March 2018), Journal of the American Academy of Child & Adolescent Psychiatry, Volume 57, Issue 3

Getting a read on Ready to Learn media

Ready to Learn (RTL) is an initiative funded by the US Department of Education to promote school readiness among children aged two to eight, and most preschool children in the US are exposed to RTL media. Supporting early literacy has been one of RTL’s primary focus areas, and this meta-analysis published in Child Development examines the effect of RTL media exposure on young children’s literacy skills.

For this meta-analysis, Lisa B Hurwitz collected data from 45 evaluations involving more than 24,000 children. Overall, results indicate positive effects on children’s literacy (effect size = +0.21), equivalent to approximately 1.5 months of extra literacy learning. Effects were varied across literacy outcomes, with larger effect sizes for phonological concepts and vocabulary than for alphabet knowledge and narrative comprehension. Findings were fairly robust across a variety of research designs and across samples of children, although effects were consistently more pronounced in within-subjects designs and for preschool-age children.

Source: Getting a read on Ready to Learn media: a meta-analytic review of effects on literacy (February 2018), Child Development doi:10.1111/cdev.13043

A thirty-year look at studies on computer-assisted maths

During the past 30 years, thousands of articles have been written about technology’s effects on pupil achievement. In order to quantify technology’s effects on maths achievement, Jamaal Young at the University of Texas conducted a meta-analysis of all of the meta-analyses on the topic during the last three decades. His second-order meta-analysis was comprised of 19 meta-analyses representing 663 primary studies, more than 141,000 pupils and 1,263 effect sizes. Each meta-analysis that was included had to address the use of technology as a supplement to instruction, use pupil maths achievement as an outcome measure, report an effect size or enough data to calculate one, have been published after 1985 and be accessible to the public.

The author found that all technology enhancements positively affected pupil achievement, regardless of the technology’s purpose. However, technology that helped pupils perform computational functions had the greatest effects on pupil achievement, while combinations of enhancements demonstrated the least effects on pupil achievement. The author found that study quality and the type of technology used in the classroom were the main influencers on effect sizes. The highest-quality studies had the lowest effect sizes, which he attributes to their more rigorous analysis procedures. The high-quality reviews gave an overall effect size for the use of technology of +0.16 (compared with +0.38 for low- and +0.46 for medium-quality reviews).

Source: Technology-enhanced mathematics instruction: A second-order meta-analysis of 30 years of research (November 2017), Educational Research Review, Volume 22

Decades of evidence supports early childhood education

A recent meta-analysis of almost 60 years’ worth of high-quality early childhood education (ECE) studies in the US found that participating in ECE programmes significantly reduced special education placement and grade retention (pupils having to repeat a year), and lead to increased graduation rates from secondary school.

Dana Charles McCoy and colleagues examined data from studies spanning 1960-2016. All had to meet strict inclusion criteria and address ECE’s effects on special education placement, grade retention, or dropout rates, yielding 22 studies. Seven were randomised controlled studies, four were quasi-experimental, and eleven used non-randomised assignment and compared groups who were equivalent at baseline.

Results showed statistically significant effects of ECE. Compared to pupils who did not attend ECE, participants were 8.1% less likely to be placed in special education, 8.3% less likely to be held back a year and 11.4% more likely to graduate from secondary school.

Source: Impacts of early childhood education on medium- and long-term educational outcomes (November 2017), Educational Researcher Volume 46, issue 8

Programme components and disadvantaged pupils

Research shows that pupils from low socioeconomic backgrounds are less likely to attend pre-school or to have a home environment incorporating literacy and language activities than their less disadvantaged peers. As a result, children from low socioeconomic backgrounds are less likely to enter school with the social and academic skills needed to set them up for success. Jans Deitrichson and colleagues at the Danish National Centre for Social Research recently performed a meta-analysis aimed at determining what components within academic interventions are the most effective at improving the achievement of primary school students from low-socioeconomic backgrounds.

A total of 101 studies performed between 2000–2014 were included in the meta-analysis. Seventy-six percent were randomised controlled trials and the rest were quasi-experimental studies. Studies had to target pupils from low socioeconomic backgrounds, utilise standardised test results in reading and maths as the outcome measures, and take place in OECD or EU countries, although most were in the US. They also had to contain information that allowed the researchers to calculate effect sizes.

The authors sorted each study’s academic intervention into “component categories” (the methods used). Examples include coaching/ mentoring of pupils, cooperative learning, incentives, small-group tutoring, or a combination of these or other methods. Analysis demonstrated that tutoring, feedback and progress monitoring, and cooperative learning were the components with the largest effect sizes. The authors stated that although the average effect sizes for these components were not large enough to close the achievement gap between high- and low-socioeconomic pupils, they certainly reduced it. They suggest that cost-effectiveness studies should be performed on these programmes to give policymakers and educators a fuller picture of programme benefits.

Source: Academic interventions for elementary and middle school students with low socioeconomic status: A systematic review and meta-analysis (January 2017), Review of Educational Research, Vol 87, Issue 2