Get A Meta-analysis Of The Impact Of Service-learning On Students

The study found that STEM education is conducive to improving students' higher-order thinking and cognitive ability levels with an effect size of (d = 0.798). The results indicate that teaching methods and stu- dent experiences in STEM education have a positive effect on student learning.

Meta-evaluation is the process of revealing the deficiencies and errors of the research as the last stage of the program evaluation process. In this context, the steps of the meta- evaluation processes were followed methodically.

Develops critical thinking skills: Through service-learning, students learn to reflect on their experiences and develop critical-thinking skills, such as the ability to bring disparate elements of experience together in meaningful ways, to analyze information for patterns and deeper meaning, and to make evaluations and ...

The basics of meta-analysis include finding a sample of studies, developing a single underlying continuum on which to compare results, using a metric to place effects or studies along this continuum (effect-sizes), and using moderators to explore in more detail the implications of these effects.

Looking at research through meta-analysis is the most systematic way of examining research. The author must review all studies, and then systematically synthesize quantitative results. Ideally, this removes as much bias as possible and provides an interpretation of the most normalized result on a topic.

Learning Objectives: Understand how literature searches, inclusion criteria, and data extraction are carried out for a meta-analysis. Understand the concepts of heterogeneity and publication bias and how these impact the results of meta-analyses. Describe basic analytic approaches used in meta-analyses.

In the current study, 11 research studies satisfying particular criteria were included. Results suggest that service-learning does in fact increase student learning (d = 0.332).

Meta-analysis would be used for the following purposes: To establish statistical significance with studies that have conflicting results. To develop a more correct estimate of effect magnitude. To provide a more complex analysis of harms, safety data, and benefits.