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Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics

Bibliographic Data

ID21499397
AuthorsAnthony Botelho (0000-0002-7373-4959, College of Education University of Florida Gainesville Florida USA, corresponding author), Sami Baral (0000-0002-6185-5841, Dept. of Computer Science Worcester Polytechnic Institute Worcester Massachusetts USA), John A Erickson (Dept. of Analytics and Information Systems Western Kentucky University Bowling Green Kentucky USA), Priyanka Benachamardi (Dept. of Computer Science Worcester Polytechnic Institute Worcester Massachusetts USA), Neil T Heffernan (0000-0002-3280-288X, Dept. of Computer Science Worcester Polytechnic Institute Worcester Massachusetts USA)
Year2023
Volume39
Issue3
Pages823-840
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Computer Assisted Learning (JOURNAL)
Journal identifiersISSN: 0266-4909 • E-ISSN: 1365-2729
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcal.12793
OpenAlexW4320731315
LanguageEN
Citations received5
References cited40

Mathematics education · Sentence · Computer Science · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Psychology · Student Assessment and Feedback · Artificial Intelligence

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  • Sentence-Bert

    Open Access•Nils Reimers, Iryna Gurevych•Proceedings of the 2019…•2019

  • The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

    KURT VanLEHN•Educational Psychologist•2011

  • Long Short-Term Memory

    Sepp Hochreiter, Jurgen Schmidhuber•Neural Computation•1997

Unique citing works5
Citations per year1.67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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