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Proceedings of the International Conference on Educational Data Mining (EDM) (18th, Palermo, Italy, July 20-23, 2025)

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Title: Proceedings of the International Conference on Educational Data Mining (EDM) (18th, Palermo, Italy, July 20-23, 2025)
Language: English
Authors: Caitlin Mills, Giora Alexandron, Davide Taibi, Giosuè Lo Bosco, Luc Paquette, International Educational Data Mining Society
Source: International Educational Data Mining Society. 2025.
Availability: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Peer Reviewed: Y
Page Count: 742
Publication Date: 2025
Document Type: Book
Collected Works - Proceedings
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education, Writing Instruction, Learning Analytics, Data Use, Classification, Student Behavior, Intelligent Tutoring Systems, Models, Higher Education, Online Courses, Grading, Programming, Feedback (Response), Natural Language Processing
ISBN: 978-1-73367-366-2
Abstract: The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme highlights the shift toward an era dominated by artificial intelligence--where machines can surpass human performance in numerous cognitive tasks--and highlights the imperative for educational systems to evolve accordingly. The scientific program for EDM2025 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) an invited Data Set Award talk; (4) five workshops and three tutorials; (5) eight presentation sessions with parallel (2 and 3) tracks; (6) a poster presentation session; (7) an industry track session; (8) a doctoral consortium session; and (9) a cross-conference panel. [Individual papers are indexed in ERIC.]
Abstractor: ERIC
Entry Date: 2025
Accession Number: ED675583
Database: ERIC
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  Data: Proceedings of the International Conference on Educational Data Mining (EDM) (18th, Palermo, Italy, July 20-23, 2025)
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  Data: The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme highlights the shift toward an era dominated by artificial intelligence--where machines can surpass human performance in numerous cognitive tasks--and highlights the imperative for educational systems to evolve accordingly. The scientific program for EDM2025 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) an invited Data Set Award talk; (4) five workshops and three tutorials; (5) eight presentation sessions with parallel (2 and 3) tracks; (6) a poster presentation session; (7) an industry track session; (8) a doctoral consortium session; and (9) a cross-conference panel. [Individual papers are indexed in ERIC.]
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      – Text: English
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        PageCount: 742
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Computer Science Education
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Writing Instruction
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      – SubjectFull: Learning Analytics
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      – SubjectFull: Data Use
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      – SubjectFull: Classification
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      – SubjectFull: Student Behavior
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      – SubjectFull: Intelligent Tutoring Systems
        Type: general
      – SubjectFull: Models
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      – SubjectFull: Higher Education
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      – SubjectFull: Online Courses
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      – SubjectFull: Grading
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      – SubjectFull: Programming
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      – SubjectFull: Feedback (Response)
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      – SubjectFull: Natural Language Processing
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