The Digital Educator's Toolkit: Leveraging AI for Effective Learning Analytics

Abstract

Amid the fourth industrial revolution, education faces complex challenges, particularly related to harnessing the vast amount of data and digital information generated by students as part of their interactions in digital environments. In the context of 21st-century education, the importance of both Learning Analytics and Artificial Intelligence is emphasized as key technologies to address these challenges and foster educational innovation. To identify the role of AI in enhancing the strengths and addressing the limitations of learning analytics, a literature review of 173 research articles published in peer-reviewed journals indexed in Scopus was conducted. The results highlight strengths in terms of personalization, prediction, and fostering peer-based working, as well as limitations in acquiring relevant qualitative data and engaging the entire educational community in these processes. A critical reflection on the relationship between AI, learning analytics, and 21st-century education is presented in the conclusion.