A Systematic Review of AI's Impact on Self-Regulated Learning Across Developed and Developing Country Contexts
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The data set was collected by specific searching, selecting, and analysis strategy. The literature search was conducted using two major academic databases: Scopus and ERIC, with a focus on publications from 2014 to 2024, encompassing a decade of AI development and SRL research. The following keyword combinations were used to capture relevant studies: "AI" + "Self-Regulated Learning", "AI + SRL", "AI generative + SRL", "AI + Education". Boolean operators and truncation were applied where needed to ensure sensitivity and specificity in search results. A standardized data extraction form was developed to capture key information from each eligible study systematically. The extracted data included: Author(s) and year of publication Country or region of implementation Key findings on the impact of AI on SRL and/or learning outcomes Educational level (e.g., primary, secondary, tertiary) Research design and methodological approach



