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This document presents the protocol for a mixed methods systematic literature review that investigates the use of Generative Artificial Intelligence (GAI) in Science Education and Teacher Training. The sistematic literature review aims to study existing empirical literature (research papers and book chapters) to understand the theoretical foundations and practices related to GAI integration in education across key stage 7 to key stage 12 contexts, emphasizing science education and teacher training. The focus is on if and how educational stakeholders (students, teachers, future teachers and teacher educators) are using GAI for learning and teaching science. This review will include quantitative, qualitative, and mixed method studies, grounded in the epistemological premise that integrating diverse methods enhances the depth and contextual relevance of findings.
Protocol, Artificial Intelligence/trends, Science/education, Systematic Literature Review
Protocol, Artificial Intelligence/trends, Science/education, Systematic Literature Review
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |