A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring.

Bai X, Stede M

DOI: 10.1007/s40593-022-00323-0
Published: 2022 Nov 28
Container: International journal of artificial intelligence in education
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s40593-022-00323-0,
  title = {A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring.},
  author = {Bai X and Stede M},
  year = {2022},
  journal = {International journal of artificial intelligence in education},
  doi = {10.1007/s40593-022-00323-0},
  url = {https://doi.org/10.1007/s40593-022-00323-0}
}

RIS

TY  - JOUR
TI  - A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring.
AU  - Bai X
AU  - Stede M
PY  - 2022
JO  - International journal of artificial intelligence in education
DO  - 10.1007/s40593-022-00323-0
UR  - https://doi.org/10.1007/s40593-022-00323-0
ER  -

APA

X, B., & M, S. (2022). A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring.. International journal of artificial intelligence in education. https://doi.org/10.1007/s40593-022-00323-0

Source records

pubmed · retrieved 2026-09-25T11:26:04.376Z