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By following these legal guidelines, educational institutions can build trust and promote the ethical use of learning analytics, addressing the privacy and security concerns raised by our respondents. Through a lens focused on ethical considerations and informed by the practical approach to ethics, we conducted a case study review, using 10 relevant publications that report on the development and implementation of the tool. Many companies are using learning analytics to track and understand learners’ behaviors, but they aren’t considering the ethical implications that they raise.

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This study conducted a systematic literature review of articles on learning analytics published between 2004 and january 2024 Issues that arise when analytics works, issues that arise because analytics are not yet reliable, and issues that arise in cases where the use of analytics seems fundamentally wrong. A total of 1,064 articles, identified using the keyword “learning analytic*” in the scopus database, were analyzed.

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Learning analytics as research and practice has evolved substantially over the past decade or so

Its focus now encompasses a wide range of issues, from student retention to teaching and learning design and social network analysis to personalized learning amongst many others. Higher ed institutions must have ethical policies in their learning analytics initiatives to protect students' and teachers' information. Explore key ethical considerations in learning analytics, including privacy, bias, transparency, and legal frameworks, to ensure responsible online learning environments. Beyond regulation, the implementation of genai in education must consider its ethical implications in terms of digital equity, algorithmic bias, and student data privacy.

Consequently, in an approach we will follow, narayan (2019) classifies these issues under three headings