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Many companies are using learning analytics to track and understand learners’ behaviors, but they aren’t considering the ethical implications that they raise. Ethical considerations, student engagement, and innovative technologies,” aims to explore the multifaceted effects of ai and advanced technologies on education, informed by both empirical evidence and theoretical insights. Two fundamental principles materialized regarding the use of student data and results related to analytics in higher education
The first principle was that learning research should be for the purpose of improving higher education. This minitrack, titled “transforming teaching and learning The selected articles, based on critical and qualitative content analysis, were exhaustively analysed
Our six practical recommendations on how to ethically engage with la can inform an ethical development of la that not only protects student privacy, but also ensures that la tools are used in ways that effectively support student learning and development.
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. Engage educators and students in the participatory design of la tools to enhance their relevance and effectiveness Strengthen pedagogical data literacy among all stakeholders to empower them to understand and use la data for improved learning and teaching outcomes. The aim of the chapter is to contribute to the ongoing discussion about the topic of ethical issues pertaining to la use in higher education by providing insight and critical reflections on the different challenges that might interplay and how different policy frameworks address these challenges.
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