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Jining Han; Yuying Yang; Geping Liu – European Journal of Education, 2025
The rapid emergence of generative artificial intelligence (GenAI) in academic settings has led to growing concerns about its impact on writing and assessment practices. This paper reviews the latest literature on detecting GenAI-generated content and explores the challenges and potential solutions faced by educators. This study identifies various…
Descriptors: Literature Reviews, Artificial Intelligence, Writing Evaluation, Evaluation Methods
Aydin Bulut – European Journal of Education, 2025
The present study employs a systematic thematic analysis of the extant academic literature on the subject of 'technology in reading' to explore its conceptual evolution and educational implications. The PRISMA framework was used to analyse 6081 peer-reviewed articles published between 1944 and July 2025 through bibliometric methods. The findings…
Descriptors: Literature Reviews, Bibliometrics, Meta Analysis, Reading Materials
Nuijten, Michèle B.; van Assen, Marcel A. L. M.; Augusteijn, Hilde E. M.; Crompvoets, Elise A. V.; Wicherts, Jelte M. – Journal of Intelligence, 2020
In this meta-study, we analyzed 2442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson's correlation of 0.26, and the median sample size was 60. Furthermore,…
Descriptors: Effect Size, Meta Analysis, Intelligence, Statistical Analysis
Weber, Frank; Knapp, Guido; Ickstadt, Katja; Kundt, Günther; Glass, Änne – Research Synthesis Methods, 2020
The standard estimator for the log odds ratio (the unconditional maximum likelihood estimator) and the delta-method estimator for its standard error are not defined if the corresponding 2 x 2 table contains at least one "zero cell". This is also an issue when estimating the overall log odds ratio in a meta-analysis. It is well known that…
Descriptors: Meta Analysis, Maximum Likelihood Statistics, Effect Size, Error Correction
Bom, Pedro R. D.; Rachinger, Heiko – Research Synthesis Methods, 2020
Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of data may be used in several studies. More generally, sample overlap tends to occur whenever multiple estimates…
Descriptors: Meta Analysis, Sampling, Research Problems, Computation
Shi, Jiandong; Luo, Dehui; Weng, Hong; Zeng, Xian-Tao; Lin, Lu; Chu, Haitao; Tong, Tiejun – Research Synthesis Methods, 2020
When reporting the results of clinical studies, some researchers may choose the five-number summary (including the sample median, the first and third quartiles, and the minimum and maximum values) rather than the sample mean and standard deviation (SD), particularly for skewed data. For these studies, when included in a meta-analysis, it is often…
Descriptors: Statistics, Computation, Sample Size, Mathematical Formulas
Moulin, Thiago C.; Amaral, Olavo B. – Research Synthesis Methods, 2020
Meta-analytic methods are powerful resources to summarize the existing evidence concerning a given research question and are widely used in many academic fields. Meta-analyzes can also be used to study sources of heterogeneity and bias among results, which should be considered to avoid inaccuracies. Many of these sources can be related to study…
Descriptors: Authors, Meta Analysis, Network Analysis, Cooperation
Nuijten, Michèle B.; Polanin, Joshua R. – Research Synthesis Methods, 2020
We present the R package and web app "statcheck" to automatically detect statistical reporting inconsistencies in primary studies and meta-analyses. Previous research has shown a high prevalence of reported p-values that are inconsistent--meaning a re-calculated p-value, based on the reported test statistic and degrees of freedom, does…
Descriptors: Meta Analysis, Statistical Analysis, Reliability, Replication (Evaluation)
Harwell, Michael – Mid-Western Educational Researcher, 2020
Accurate and consistent reviews of documents describing research studies are essential to valid and generalizable inferences in a meta-analysis. Traditionally a small number of reviewers screen studies using the title, abstract, and possibly the full text to determine a study's eligibility for a meta-analysis. This study explores whether reviewing…
Descriptors: Meta Analysis, Educational Research, Resources, Accuracy
Du, Han; Bradbury, Thomas N.; Lavner, Justin A.; Meltzer, Andrea L.; McNulty, James K.; Neff, Lisa A.; Karney, Benjamin R. – Research Synthesis Methods, 2020
Researchers often seek to synthesize results of multiple studies on the same topic to draw statistical or substantive conclusions and to estimate effect sizes that will inform power analyses for future research. The most popular synthesis approach is meta-analysis. There have been few discussions and applications of other synthesis approaches.…
Descriptors: Bayesian Statistics, Meta Analysis, Statistical Inference, Synthesis
Premji, Zahra; Splenda, Ryan; Young, Sarah – College & Research Libraries, 2022
Systematic reviews and other forms of knowledge synthesis are increasingly common in the social sciences, including in business and management research. We surveyed academic business librarians to determine the extent of their involvement, in any capacity, in knowledge syntheses. Of 71 eligible responses, 30 percent were involved in supporting…
Descriptors: Academic Libraries, Librarians, Business, Library Services
Cai, Ying; Pan, Zilong; Liu, Min – Journal of Computer Assisted Learning, 2022
Background: As a recently emerging innovative technology, augmented reality (AR) has become a popular tool for language learning. However, to date, very few meta-analytical studies has been conducted on AR in this field to understand its effectiveness on language learning. Objectives: This meta-analysis was conducted to systematically synthesize…
Descriptors: Computer Simulation, Technology Uses in Education, Second Language Learning, Meta Analysis
Tarkoçin Vural, Suna; Saglam, Mehmet – Participatory Educational Research, 2022
Gaming is a natural process for the child, and with the play therapy technique used in this process, opportunities are offered to the child to express their problems and emotions by playing. Play therapy is used in many studies with children. The number of studies conducted on the effectiveness of play therapy in Turkey is increasing with each…
Descriptors: Games, Play Therapy, Program Effectiveness, Outcomes of Treatment
Skene, Kayleigh; O'Farrelly, Christine M.; Byrne, Elizabeth M.; Kirby, Natalie; Stevens, Eloise C.; Ramchandani, Paul G. – Child Development, 2022
This systematic review and meta-analysis considered evidence of guided play compared to direct instruction or free play to support children's learning and development. Interventions from 39 studies were reviewed (published 1977-2020); 17 were included in meta-analysis (N[subscript total] = 3893; M[subscript childage] = 1-8 years; M[subscript…
Descriptors: Guidance, Play, Literature Reviews, Meta Analysis
Poom, Leo; af Wåhlberg, Anders – Research Synthesis Methods, 2022
In meta-analysis, effect sizes often need to be converted into a common metric. For this purpose conversion formulas have been constructed; some are exact, others are approximations whose accuracy has not yet been systematically tested. We performed Monte Carlo simulations where samples with pre-specified population correlations between the…
Descriptors: Meta Analysis, Effect Size, Mathematical Formulas, Monte Carlo Methods

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