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Smart Learning Applications: Leveraging LLMs for Contextualized and Ethical Educational Technology

  • Marc Alier,
  • María José Casañ,
  • Daniel Amo Filvà

摘要

This paper introduces the concept of “Smart Learning Applications,” an emerging new category of educational technology that leverages the capabilities of Large Language Models (LLMs) like ChatGPT. Distinct from existing third-party chatbots, these proposed applications aim to provide real-time content generation, advanced query processing, and personalized learning experiences. These features are integrated within a framework managed by the educational institution, ensuring quality, relevance, and confidentiality in an ethical manner. The paper delves into the technical underpinnings necessary for the development of these applications, with a focus on the role of embeddings and context in enhancing their utility and adaptability. It also addresses challenges and ethical considerations, such as data security and academic integrity. The paper concludes by outlining a strategy for the swift, iterative development and testing of Smart Learning Applications in a secure and responsible setting.