Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences-Reference-Cited by-同舟云学术

Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences

Published:2024 Issue: Volume: Page:32-43
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Stamper John^ORCID,Xiao Ruiwei^ORCID,Hou Xinying^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-64315-6_3

Reference57 articles.

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2. Lecture Notes in Computer Science;V Aleven,2006

3. Aleven, V., Mclaren, B.M., Sewall, J., Koedinger, K.R.: A new paradigm for intelligent tutoring systems: example-tracing tutors. Int. J. Artif. Intell. Educ. 19(2), 105–154 (2009)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);S Alhazmi,2020

5. Anderson, J.R.: Act: a simple theory of complex cognition. Am. Psychol. 51(4), 355 (1996)

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