Vol-3839⫷ Vol-3840 ⫸Vol-3841
urn:nbn:de:0074-3840-6





HEXED-L3MNGET 2024
HEXED 2024 and L3MNGET 2024 Workshops Joint Proceedings


Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024)
co-located with 17th International Conference on Educational Data Mining ( EDM 2024 )

Atlanta, Georgia, USA, July 14, 2024 .


Edited by

Juan D. Pinto , University of Illinois Urbana-Champaign, USA
Eamon Worden , Worcester Polytechnic Institute, USA
Anthony Botelho , University of Florida, USA
Lea Cohausz , University of Mannheim, Germany
Clayton Cohn , Vanderbilt University, USA
Mingyu Feng , WestEd, USA
Neil Heffernan , Worcester Polytechnic Institute, USA
Arto Hellas , Aalto University, Finland
Lan Jiang , University of Illinois at Urbana-Champaign, USA
David Joyner , Georgia Tech, USA
Tanja Käser , EPFL, Switzerland
Juho Kim , KAIST, Korea
Andrew Lan , University of Massachusetts Amherst, USA
Chenglu Li , University of Utah, USA
Joshua Littenberg-Tobias , WGBH Education, USA
Qianhui Liu , University of Illinois Urbana-Champaign, USA
Christopher MacLellan , Georgia Tech, USA
Steven Moore , Carnegie Mellon University, USA
Maciej Pankiewicz , University of Pennsylvania, USA
Luc Paquette , University of Illinois Urbana-Champaign, USA
Zach A. Pardos , University of California Berkeley, USA
Anna Rafferty , Carleton College, USA
Adish Singla , Max Planck Institute for Software Systems, Germany
Shashank Sonkar , Rice University, USA
Vinitra Swamy , EPFL, Switzerland
Rose E. Wang , Stanford University, USA
Candace Walkington , Southern Methodist University, USA





Table of Contents

Human-Centric eXplainable AI in Education (HEXED 2024)

Leveraging Large Language Models for Next Generation Educational Technologies (L3MNGET 2024)


2024-11-01: submitted by Juan D. Pinto, metadata incl. bibliographic data published under Creative Commons CC0
2024-11-22 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |