AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-22064-7_13
Reference19 articles.
1. Hirashima, T., Yamasaki, K., Fukuda, H., Funaoi, H.: Framework of kit-build concept map for automatic diagnosis and its preliminary use. Res. Pract. Technol. Enhanc. Learn. 10(1), 1–21 (2015). https://doi.org/10.1186/s41039-015-0018-9
2. Boguski, R.R., Cury, D., Gava, T.: TOM: an intelligent tutor for the construction of knowledge represented in concept maps. In: IEEE Frontiers in Education Conference, FIE 2019, Cincinnati, OH, USA, pp. 1–7 (2019)
3. Song, X., Li, J., Tang, Y., Zhao, T., Chen, Y., Guan, Z.: JKT: a joint graph convolutional network based deep knowledge tracing. Inf. Sci. 580, 510–523 (2021)
4. Song, X., Li, J., Lei, Q., Zhao, W., Chen, Y., Mian, A.: Bi-CLKT: Bi-graph contrastive learning based knowledge tracing. Knowl. Based Syst. 241, 108274 (2022)
5. Huang, X., Yang, K., Lawrence, V.B.: Classification-based approach to concept map generation in adaptive learning. In: 15th IEEE International Conference on Advanced Learning Technologies, pp. 19–23 (2015)
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