Machine learning for human learners: opportunities, issues, tensions and threats
M.E. Webb, A. Fluck, J. Magenheim, J. Malyn-Smith, J. Waters, M. Deschênes , J. Zagami, Educational Technology Research and Development (2020) 1–22.
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Journal Article
| English
Author
Webb, Mary E;
Fluck, Andrew;
Magenheim, Johannes;
Malyn-Smith, Joyce;
Waters, Juliet;
Deschênes , Michelle;
Zagami, Jason
Department
Publishing Year
Journal Title
Educational Technology Research and Development
Page
1-22
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Cite this
Webb ME, Fluck A, Magenheim J, et al. Machine learning for human learners: opportunities, issues, tensions and threats. Educational Technology Research and Development. 2020:1-22. doi:10.1007/s11423-020-09858-2
Webb, M. E., Fluck, A., Magenheim, J., Malyn-Smith, J., Waters, J., Deschênes , M., & Zagami, J. (2020). Machine learning for human learners: opportunities, issues, tensions and threats. Educational Technology Research and Development, 1–22. https://doi.org/10.1007/s11423-020-09858-2
@article{Webb_Fluck_Magenheim_Malyn-Smith_Waters_Deschênes _Zagami_2020, title={Machine learning for human learners: opportunities, issues, tensions and threats}, DOI={10.1007/s11423-020-09858-2}, journal={Educational Technology Research and Development}, publisher={Springer}, author={Webb, Mary E and Fluck, Andrew and Magenheim, Johannes and Malyn-Smith, Joyce and Waters, Juliet and Deschênes , Michelle and Zagami, Jason}, year={2020}, pages={1–22} }
Webb, Mary E, Andrew Fluck, Johannes Magenheim, Joyce Malyn-Smith, Juliet Waters, Michelle Deschênes , and Jason Zagami. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” Educational Technology Research and Development, 2020, 1–22. https://doi.org/10.1007/s11423-020-09858-2.
M. E. Webb et al., “Machine learning for human learners: opportunities, issues, tensions and threats,” Educational Technology Research and Development, pp. 1–22, 2020.
Webb, Mary E., et al. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” Educational Technology Research and Development, Springer, 2020, pp. 1–22, doi:10.1007/s11423-020-09858-2.
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