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Exploring the Impact of Artificial Intelligence in Teaching and Learning of Science: A Systematic Review of Empirical Research
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(1979)Situated Learning (1991)Quantifying heterogeneity in a meta‐analysis (2002)Principles of Problem-Based Learning (PBL) in STEM Education: Using Expert Wisdom and Research to Frame Educational Practice (2022)Effectiveness of STEM-Based Learning in Teaching 21 st Century Skills in Generation Z Student in Science Learning: A Meta-Analysis (2023)Higher education students’ perceptions of ChatGPT: A global study of early reactions (2025)Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges (2025)The ethics of algorithms: Mapping the debate (2016)Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical (2019)The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration (2020)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews119,202 cited
  • 2018How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses2,800 cited
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  • 2022Effects of problem-based learning instructional intervention on critical thinking in higher education: A meta-analysis480 cited
  • 2020Applying machine learning in science assessment: a systematic review257 cited
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  • 2022Applying machine learning to automatically assess scientific models127 cited
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  • 2019Automated text scoring and real‐time adjustable feedback: Supporting revision of scientific arguments involving uncertainty

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  • 2022Simulations to Teach Science Subjects: Connections Among Students’ Engagement, Self-Confidence, Satisfaction, and Learning Styles89 cited
  • 2021Towards an ethics of AI in Africa: rule of education86 cited
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