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

Marc Alier, María José Casañ, Daniel Amo Filvà

Research output: Book chapterChapterpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Educational Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages190-199
Number of pages10
DOIs
Publication statusPublished - 2024
Externally publishedYes

Publication series

NameLecture Notes in Educational Technology
VolumePart F3283
ISSN (Print)2196-4963
ISSN (Electronic)2196-4971

Keywords

  • Academic Integrity
  • ChatGPT
  • Contextualized Learning
  • Data Security
  • Educational Framework
  • Educational Technology
  • Ethical Considerations
  • Large Language Models
  • Personalized Learning
  • Query Processing
  • Real-time Content Generation
  • Smart Learning Applications

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