Special Issue on Artificial Intelligence, Machine Learning, and Natural Language Processing Applications in Education

Special Issue on Artificial Intelligence, Machine Learning, and Natural Language Processing Applications in Education

Authors

  • Okan Bulut
     Centre for Research in Applied Measurement and Evaluation, University of Alberta

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Published

2022-12-30

How to Cite

Bulut, O. (2022). Special Issue on Artificial Intelligence, Machine Learning, and Natural Language Processing Applications in Education. Journal of Applied Testing Technology, 23, 01–03. Retrieved from https://jattjournal.net/index.php/atp/article/view/172694

Issue

Vol 23(Special Issue 1), 2022

Section

Editorial

References

Dorsey, D. W., & Michaels, H. R. (2022). Validity arguments meet artificial intelligence in innovative educational assessment. Journal of Educational Measurement, 59, 267-271. https://doi.org/10.1111/jedm.12331

Flor, M., & Hao, J. (2021). Text mining and automated scoring. In A. A. von Davier, R. J. Mislevy, & J. Hao, (Eds.) Computational psychometrics: New methodologies for a new generation of digital learning and assessment. Springer, pp. 245-262. https://doi.org/10.1007/978-3-030-74394-9_14

Jiao, H., He, Q., & Veldkamp, B. P. (2021). Process data in educational and psychological measurement. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.793399 PMid:34925194 PMCid:PMC8677654

Lindner, M. A., & Greiff, S. (2021). Process data in computerbased assessment: Opening the black box. European Journal of Psychological Assessment, 37(2), 161-162. https://doi.org/10.1027/1015-5759/a000658