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The rapid growth of research literature has made systematic reviews and meta-analyses increasingly time-consuming, limiting their utility in fast-evolving fields such as educational psychology. Artificial intelligence (AI) tools have enormous potential to streamline these processes, yet their adoption remains limited due to usability issues and a lack of systematic guidance. Out of 282 tools that we compiled from overviews that listed AI tools for research syntheses, we filtered a subset of 7 AI tools that met quality standards, such as transparency and accessibility. These tools were evaluated for their potential to support systematic reviews and meta-analyses in educational psychology. Our review highlights the tools' strengths, limitations, and ethical considerations for their responsible use by providing practical guidance and coding information. Educational relevance statement This research identifies and evaluates AI tools that streamline systematic reviews and meta-analyses, addressing critical challenges in synthesizing educational psychology research. By making these processes more efficient, accessible, and accurate, the study empowers educators and researchers to derive timely insights into diverse learner needs. Practically, the findings guide the adoption of AI tools that reduce workload and cognitive bias, enabling more evidence-based and inclusive educational practices. This work supports the advancement of scientifically rigorous methods that enhance understanding of individual differences in learning, directly contributing to improved educational interventions and outcomes.
Fütterer et al. (Tue,) studied this question.
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