Richard Scruggs, Jalal Nouri, Torkel Klingberg. Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math. In Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II. Volume 13356 of Lecture Notes in Computer Science, pages 410-413, Springer, 2022. [doi]
@inproceedings{ScruggsNK22,
title = {Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math},
author = {Richard Scruggs and Jalal Nouri and Torkel Klingberg},
year = {2022},
doi = {10.1007/978-3-031-11647-6_81},
url = {https://doi.org/10.1007/978-3-031-11647-6_81},
researchr = {https://researchr.org/publication/ScruggsNK22},
cites = {0},
citedby = {0},
pages = {410-413},
booktitle = {Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II},
editor = {Maria Mercedes Rodrigo and Noburu Matsuda and Alexandra I. Cristea and Vania Dimitrova},
volume = {13356},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-11647-6},
}