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Abstract: Integrating student well-being into Learning Analytics (LA) is vital for fostering holistic educational success beyond traditional academic metrics. Grounded in the Self-Determination Theory (SDT), the Well-being Journey (WB Journey), as a tool, exemplifies this integration by evaluating well-being, offering visual analytics, and providing tailored recommendations. Future avenues for this tool include exploring the use of Generative AI (GenAI) to refine current recommendations, making them more effectively tailored to support students’ self-regulation. However, many limitations and challenges are posed, especially regarding ethical concerns. This paper calls for discussion regarding these same concerns, encompassing the integration of well-being data into LA, and the use of GenAI in aiding the process of well-being recommendations’ validation and quality control.