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From Data to Action
0
Zitationen
3
Autoren
2025
Jahr
Abstract
This chapter examines how Artificial Intelligence (AI) and Learning Analytics (LA) are transforming distance education, accelerated by the COVID-19 shift to e-learning. By using data from Learning Management Systems (LMS), these technologies can personalize learning, improve student retention, and automate tasks. AI, particularly machine learning, enables dynamic adaptation to student needs, while LA provides valuable insights for informed instructional decisions. However, ethical concerns, including data privacy and algorithmic bias, must be addressed to ensure equitable access and fair learning outcomes. The future of distance learning lies in responsible integration of AI and LA, creating immersive and inclusive educational experiences.
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