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PRISMA 2020 Checklist – "Machine learning and generative AI in learning analytics for higher education: A systematic review of models, trends, and challenges"

Year: 2025

Type: article

Abstract: PRISMA 2020 Checklist – “Machine learning and generative AI in learning analytics for higher education: A systematic review of models, trends, and challenges”. This PDF file contains the completed PRISMA 2020 checklist, filled out by the authors to document how each reporting item is addressed in the manuscript. The checklist accompanies the main article and dataset deposited in Zenodo, which analyze 101 empirical studies published between 2018 and 2025 on the use of Machine Learning (ML) and Generative Artificial Intelligence (GenAI) in Learning Analytics for higher education. This document enhances transparency and reproducibility by ensuring alignment with the PRISMA 2020 reporting guidelines.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15743528

Authors: Rodríguez-Ortiz, Miguel A., Anido-Rifón, Luis E., Santana-Mancilla, Pedro C.

Institutions: Universidade de Vigo, Universidad de Colima

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6893365121

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