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  Large Language Models for In-context Student Modeling: Synthesizing Student’s Behavior in Visual Programming

Nguyen, M. H., Tschiatschek, S., & Singla, A. (2024). Large Language Models for In-context Student Modeling: Synthesizing Student’s Behavior in Visual Programming. In Proceedings of the 17th International Conference on Educational Data Mining (pp. 341-348). Massachusetts, USA: International Educational Data Mining Society.

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Genre: Conference Paper

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Locator:
https://doi.org/10.5281/zenodo.12729830 (Any fulltext)
Description:
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OA-Status:
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 Creators:
Nguyen, Manh Hung1, Author           
Tschiatschek, Sebastian 2, Author
Singla, Adish1, Author                 
Affiliations:
1Group A. Singla, Max Planck Institute for Software Systems, Max Planck Society, ou_2541698              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2024
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5281/zenodo.12729830
BibTex Citekey: Nguyen-et-al_EDM24
 Degree: -

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Title: 17th International Conference on Educational Data Mining
Place of Event: Atlanta, GA, USA
Start-/End Date: 2024-07-14 - 2024-07-17

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Project name : TOPS
Grant ID : 101039090
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: Proceedings of the 17th International Conference on Educational Data Mining
  Abbreviation : EDM 2024
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Massachusetts, USA : International Educational Data Mining Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 341 - 348 Identifier: ISBN: 978-1-7336736-5-5