Meta-analysis of proportions is conceptually simple: Faced with a binary outcome in multiple studies, we seek inference on some overall proportion of successes/failures. Under common effect models, exact inference has long been available, but is not when we more realistically allow for heterogeneity of the proportions. Instead a wide range of…

As a significant tool to integrate information technology and education, dynamic mathematical software (DMS) has been widely concerned in recent years. However, how to better apply it to instruction practice deserves further exploration. Thus, we adopted the meta-analysis method to analyze the DMS-based experiments published between 2000 and 2020.…

This meta-analysis synthesizes research on media use in early childhood (0-6 years), word-learning, and vocabulary size. Multi-level analyses included 266 effect sizes from 63 studies (N[subscript total] = 11,413) published between 1988-2022. Among samples with information about race/ethnicity (51%) and sex/gender (73%), most were majority…

This research is motivated by the increasing number of users of android-based learning media it impacts the learning outcomes obtained. This study aims to determine the effect of android-based learning media on improving student learning outcomes. This research is a meta-analysis study. Data collection techniques are taken from indexing databases…

With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall…

With the availability of low-cost high-quality head-mounted displays (HMDs) since 2013, there is a growing body of literature investigating the impact of immersive virtual reality (IVR) technology on education. This meta-analysis aims to synthesize the findings on the overall effects of IVR using HMDs compared to less immersive desktop virtual…

This study examines meta-analysis studies published in the field of educational sciences from 2010-2019, in journals indexed within the scope of the TÜBITAK ULAKBIM TR Directory. Of the 163 studies scanned, 26 meta-analysis studies that meet the inclusion criteria constitute the sample of this content analysis study. Within this research, a…

To answer the call of introducing more Bayesian techniques to organizational research (e.g., Kruschke, Aguinis, & Joo, 2012; Zyphur & Oswald, 2013), we propose a Bayesian approach for meta-analysis with power prior in this article. The primary purpose of this method is to allow meta-analytic researchers to control the contribution of each…

The use of social media such as Twitter has gained popularity in education during the COVID-19 pandemic. This study included 22 high-quality peer-reviewed journal articles for the meta-analysis. The authors reveal that there are no significant differences in teaching effectiveness between the Twitter and non-Twitter-assisted learning approaches.…

The Arduino microcontroller enables ordinary people to perform professional tasks that only traditional engineering professionals could perform. Recently, several educational cases have been applied to primary and secondary schools, which is a desirable attempt to popularize engineering education. This study meta-analyzed the effects of…

This paper presents the results of a systematic review of the literature, including a meta-analysis, about the effectiveness of the use of Alice software in programming learning when compared to the use of a conventional programming language. Our research included studies published between the years 2000 and 2014 in the main databases. We gathered…

The field of education is increasingly committed to adopting evidence-based practices. Although randomized experimental designs provide strong evidence of the causal effects of interventions, they are not always feasible. For example, depending upon the research question, it may be difficult for researchers to find the number of children necessary…

Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to…

Methodologists have recently proposed robust variance estimation as one way to handle dependent effect sizes in meta-analysis. Software macros for robust variance estimation in meta-analysis are currently available for Stata (StataCorp LP, College Station, TX, USA) and SPSS (IBM, Armonk, NY, USA), yet there is little guidance for authors regarding…

The aim of the present study is to determine the influence of student-centered methods employed in Turkish language instruction on the academic success of students through meta-analysis. To this end, a literature review was conducted on the relevant studies conducted between 2000 and 2016 in order to determine the studies were suitable for the…