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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Smart Learning Applications: Leveraging LLMs for Contextualized and Ethical Educational Technology
Συγγραφείς: Marc Alier, María José Casañ, Daniel Amo Filvà
Πηγή: Lecture Notes in Educational Technology ISBN: 9789819718139
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Στοιχεία εκδότη: Springer Nature Singapore, 2024.
Έτος έκδοσης: 2024
Θεματικοί όροι: Smart Learning Applications, Query processing, Contextualized learning, Ethical considerations, Academic integrity, Educational technology, Real-time content generation, ChatGPT, Àrees temàtiques de la UPC::Informàtica::Aspectes socials, Personalized learning, Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació, Large language models, Educational framework, Data security
Περιγραφή: 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.
This work has been funded by the Departament de Recerca i Universitats de la Generalitat de Catalunya - 2021 SGR 01412.
Τύπος εγγράφου: Part of book or chapter of book
Conference object
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
DOI: 10.1007/978-981-97-1814-6_18
Rights: Springer Nature TDM
Αριθμός Καταχώρησης: edsair.doi.dedup.....2e9eafebe2cf99806e13e836a2aa6c8c
Βάση Δεδομένων: OpenAIRE
Περιγραφή
DOI:10.1007/978-981-97-1814-6_18