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ERIC Number: ED675485
Record Type: Non-Journal
Publication Date: 2024
Pages: 1082
Abstractor: ERIC
ISBN: 978-1-7336736-5-5
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Proceedings of the International Conference on Educational Data Mining (EDM) (17th, Atlanta, Georgia, July 14-17, 2024)
David Joyner, Editor; Benjamin Paaßen, Editor; Carrie Demmans Epp, Editor
International Educational Data Mining Society
The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data mining in the age of generative AI." The theme focuses on the movement from descriptive and predictive models to generative artificial intelligence (AI) and what that means for learning environments and processes. While the new methods unlock exciting new potentials for educational data mining, they also foreground many ethical considerations and risks that are associated with all types of machine learning and artificial intelligence. This year, research was also welcomed regarding mitigating biases and harms that may result from model use, accounting for the stereotypes that are inherent to the large models that drive generative AI, separating the hype surrounding these new technologies from their potential in educational settings, and finding ways to use these models to better understand learning processes and support learning. The scientific programming for EDM2024 includes: (1) two keynote talks by outstanding researchers in the field; (2) a plenary Prof. Ram Kumar Educational Data Mining Test of Time Award talk; (3) a plenary Data Set award talk; (4) five tutorials (foundational as well as advanced); (5) five workshops; (6) twelve paper presentation sessions and two poster presentation sessions; (7) an industry track and industry panel; and (8) a doctoral student consortium. [Individual papers are indexed in ERIC.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Publication Type: Collected Works - Proceedings; Books
Education Level: Elementary Secondary Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society
Grant or Contract Numbers: N/A
Author Affiliations: N/A