Dataset for: AI-Driven Personalization of Gamification in Education: A Systematic Literature Review (2020–2025)

This dataset supports the systematic literature review titled "AI-Driven Personalization of Gamification in Education: A Systematic Literature Review." It contains the complete data extraction, quality assessment scores, and coded analysis for all 75 included studies published between 2020 and 2025, retrieved from Scopus, Web of Science, and IEEE Xplore. The workbook includes: (1) search and screening records following PRISMA 2020 guidelines, (2) quality assessment scores across six criteria for each study, (3) full data extraction covering bibliographic information, AI techniques, gamification elements, learning outcomes, educational contexts, challenges, and proposed frameworks, and (4) coded summaries for each of the six research questions (RQ1–RQ6). This dataset enables full reproducibility of the review findings and supports secondary analyses by other researchers.