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This meta-analysis provides an extensive and organized summary of intervention studies in education that are grounded in motivation theory. We identified 74 published and unpublished papers that experimentally manipulated an independent variable and measured an authentic educational outcome within an ecologically valid educational context. Our analyses included 92 independent effect sizes with 38,377 participants. Our results indicated that interventions were generally effective, with an average mean effect size of d = 0.49 (95% confidence interval = [0.43, 0.56]). Although there were descriptive differences in the effect sizes across several moderator variables considered in our analyses, the only significant difference found was for the type of experimental design, with randomized designs having smaller effect sizes than quasi-experimental designs. This work illustrates the extent to which interventions and accompanying theories have been tested via experimental methods and provides information about appropriate next steps in developing and testing effective motivation interventions in education.

High pedagogical quality in early childhood education and care (ECEC) is related to developmental outcomes in young children. This review summarizes findings from (quasi)-experimental studies that evaluated in-service training effects for ECEC professionals on external quality ratings and child development. The aggregation of findings at teacher level (including 36 studies with 2,891 teachers) revealed a medium in-service training effect on process quality (effect size [ES] = 0.68, SE = 0.07, p < .001). Furthermore, a subset of nine studies (including 486 teachers and 4,504 children) that provided data on both quality ratings and child development were analyzed, and they showed a small effect at child level (ES = 0.14; SE = 0.02, p < .001) and a medium effect at the corresponding classroom level (ES = 0.45, SE = 0.11, p < .001). Variance in effect sizes at child level was significantly related to in-service effects on quality ratings (53% explained variance). The results show that quality improvement is a key mechanism to accelerate the development of young children.

This study aims to find out the effect of the using Spotify application, using English songs and podcasts, affects students' pronunciation at SMP Negeri Model Terpadu Madani Palu. The research used a quasi-experimental design with two groups: an experimental class that used Spotify and a control class that used traditional methods. The sample consisted of two eighth-grade classes chosen using purposive sampling. Data was collected through pre-tests and post-tests to measure students' pronunciation before and after the treatment. The results showed that the average score of the experimental class improved significantly from 14.58 to 24.77, while the control class increased from 20.83 to 38.89. The Wilcoxon Signed Ranks test confirmed that the experimental class had a significant improvement (Z = -3.963, p = 0.000). However, the Mann-Whitney test showed no significant difference between the experimental and control classes (p = 0.677). This means that while Spotify helped improve students’ pronunciation, it was not proven to be more effective than traditional teaching methods. In conclusion, using the Spotify application can help students improve their pronunciation, especially for the consonant sounds /ʃ/, /ʒ/, /θ/, and /ð/. Even though the improvement was not greater than the conventional method, Spotify still made learning more interesting and interactive for students.

In the past few decades, we have seen a rapid proliferation in the use of quasi-experimental research designs in education research. This trend, stemming in part from the “credibility revolution” in the social sciences, particularly economics, is notable along with the increasing use of randomized controlled trials in the strive toward rigorous causal inference. The overarching purpose of this chapter is to explore and document the growth, applicability, promise, and limitations of quasi-experimental research designs in education research. We first provide an overview of widely used quasi-experimental research methods in this growing literature, with particular emphasis on articles from the top ranked education research journals, including those published by the American Educational Research Association. Next, we demonstrate the applicability and promise of these methods in enhancing our understanding of the causal effects of education policies and interventions using key examples and case studies culled from the extant literature across the pre-K–16 education spectrum. Finally, we explore the limitations of these methods and conclude with thoughts on how education researchers can adapt these innovative, interdisciplinary techniques to further our understanding of some of the most enduring questions in educational policy and practice.

Background:In the modern society when intelligent mobile devices become popular, the Internet breaks through the restrictions on time and space and becomes a ubiquitous learning tool. Designing teaching activity for digital learning and flexibly applying technology tools are the key issues for current information technology integrated education.Material and methods:In this study, students are tested and proceeded questionnaire survey to understand the opinions about digital learning. To effectively achieve the research objectives and test the research hypotheses, quasi-experimental research is applied in this study. Total 116 students in 4 classes are selected as the research subjects for the instructional research.Results:The research results conclude that 1.digital learning presents better positive effects on learning motivation than traditional teaching does, 2.digital learning shows better positive effects on learning outcome than traditional teaching does, 3.learning motivation reveals significantly positive effects on learning effect in learning outcome, and 4.learning motivation appears remarkably positive effects on learning gain in learning outcome.Conclusions:It is expected to combine with current teaching trend and utilize the advantages of digital learning to develop practicable teaching strategies for the teaching effectiveness.

As evidence becomes increasingly important in educational policy, it is essential to understand how research design might contribute to reported effect sizes in experiments evaluating educational programs. A total of 645 studies from 12 recent reviews of evaluations of preschool, reading, mathematics, and science programs were studied. Effect sizes were roughly twice as large for published articles, small-scale trials, and experimenter-made measures, compared to unpublished documents, large-scale studies, and independent measures, respectively. Effect sizes were significantly higher in quasiexperiments than in randomized experiments. Excluding tutoring studies, there were no significant differences in effect sizes between elementary and middle/high studies. Regression analyses found that effects of all factors maintained after controlling for all other factors. Explanations for the effects of methodological features on effect sizes are discussed, as are implications for evidence-based policy.

Critical thinking (CT) is purposeful, self-regulatory judgment that results in interpretation, analysis, evaluation, and inference, as well as explanations of the considerations on which that judgment is based. This article summarizes the available empirical evidence on the impact of instruction on the development and enhancement of critical thinking skills and dispositions and student achievement. The review includes 341 effects sizes drawn from quasi- or true-experimental studies that used standardized measures of CT as outcome variables. The weighted random effects mean effect size (g+) was 0.30 (p < .001). The collection was heterogeneous (p < 001). Results demonstrate that there are effective strategies for teaching CT skills, both generic and content specific, and CT dispositions, at all educational levels and across all disciplinary areas. Notably, the opportunity for dialogue, the exposure of students to authentic or situated problems and examples, and mentoring had positive effects on CT skills.

ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners’ programming processes. This study employed a quasi-experimental design to explore the possible impact of ChatGPT-facilitated programming mode on college students’ programming behaviors, performances, and perceptions. 82 college students were randomly divided into two classes. One class employed ChatGPT-facilitated programming (CFP) practice and the other class utilized self-directed programming (SDP) mode. Mixed methods were utilized to collect multidimensional data. Data analysis uncovered some intriguing results. Firstly, students in the CFP mode had more frequent behaviors of debugging and receiving error messages, as well as pasting console messages on the website and reading feedback. At the same time, students in the CFP mode had more frequent behaviors of copying and pasting codes from ChatGPT and debugging, as well as pasting codes to ChatGPT and reading feedback from ChatGPT. Secondly, CFP practice would improve college students’ programming performance, while the results indicated that there was no statistically significant difference between the students in CFP mode and the SDP mode. Thirdly, student interviews revealed three highly concerned themes from students' user experience about ChatGPT: the services offered by ChatGPT, the stages of ChatGPT usage, and experience with ChatGPT. Finally, college students’ perceptions toward ChatGPT significantly changed after CFP practice, including its perceived usefulness, perceived ease of use, and intention to use. Based on these findings, the study proposes implications for future instructional design and the development of AI-powered tools like ChatGPT.

PLAIN LANGUAGE SUMMARY Body-worn cameras (BWCs) do not have clear or consistent effects on most officer or citizen behaviors, but different practices need further evaluation Law enforcement agencies have rapidly adopted BWCs in the last decade with the hope that they might improve police conduct, accountability, and transparency, especially regarding use of force. Studies eligible for this review included those that examined the use of BWCs by law enforcement officers using either randomized controlled trials (RCTs) or quasi-experimental research designs, and that measured police or citizen behaviors, rather than their perceptions. EXECUTIVE SUMMARY/ABSTRACT Background In the past decade, many communities have experienced high-profile police-involved shootings and deaths in custody, as well as citizen protests and demands for greater police accountability and transparency. Results Findings from this Campbell systematic review indicate that BWCs can reduce the number of citizen complaints against police officers (% change = −16.6, 95% confidence interval [CI] [−30.0 to −0.7]), although it remains unclear whether this finding signals an improvement in the quality of police–citizen interactions or a change in reporting.

Although previous meta-analyses have indicated a connection between inquiry-based teaching and improved student learning, the type of instruction characterized as inquiry based has varied greatly, and few have focused on the extent to which activities are led by the teacher or student. This meta-analysis introduces a framework for inquiry-based teaching that distinguishes between cognitive features of the activity and degree of guidance given to students. This framework is used to code 37 experimental and quasi-experimental studies published between 1996 and 2006, a decade during which inquiry was the main focus of science education reform. The overall mean effect size is .50. Studies that contrasted epistemic activities or the combination of procedural, epistemic, and social activities had the highest mean effect sizes. Furthermore, studies involving teacher-led activities had mean effect sizes about .40 larger than those with student-led conditions. The importance of establishing the validity of the treatment construct in meta-analyses is also discussed.