MMAT Quality Appraisal for "Machine Learning and Generative AI in Learning Analytics for Higher Education: A Systematic Review of Models, Trends, and Challenges"

This dataset supports the systematic review titled “Machine Learning and Generative AI in Learning Analytics for Higher Education: A Systematic Review of Models, Trends, and Challenges”. It includes the full list of 101 empirical studies analyzed in the review and the corresponding quality appraisal using the Mixed Methods Appraisal Tool (MMAT, 2018 version). Each entry documents: Study ID, title, year, and methodology type MMAT category Responses to MMAT checklist items (S1, S2, 1.1–5.5) Reviewer comments and quality notes The dataset provides transparency and reproducibility to the review process. It complements Section 2.5 (Quality Appraisal) and Section 6 (Limitations) of the manuscript.本数据集为题为《高等教育学习分析中的机器学习与生成式人工智能 (Generative AI)：模型、趋势与挑战系统综述》的系统综述研究提供支撑。 本数据集收录本综述所纳入分析的101项实证研究的完整清单，以及基于混合方法评价工具（Mixed Methods Appraisal Tool, MMAT，2018版）开展的对应质量评价结果。每条记录均包含以下内容： 1. 研究编号、标题、发表年份及方法论类型 2. MMAT分类 3. MMAT核查表各条目应答情况（S1、S2、1.1–5.5） 4. 评审员评论与质量备注 本数据集可为该综述的研究流程提供透明度保障与可复现性支撑，可作为手稿第2.5节（质量评价）与第6节（局限性）的补充内容。