Mapping Artificial Intelligence in Education Research: a Network‐based Keyword Analysis
Author:
Funder
Innovation and Technology Commission - Hong Kong
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Education
Link
https://link.springer.com/content/pdf/10.1007/s40593-021-00244-4.pdf
Reference59 articles.
1. Alamri, A., Alshehri, M., Cristea, A., Pereira, F. D., Oliveira, E., Shi, L., & Stewart, C. (2019, June). Predicting MOOCs dropout using only two easily obtainable features from the first week’s activities. In International Conference on Intelligent Tutoring Systems (pp. 163–173). Springer
2. Albert, R., & Barabási, A. L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47.
3. Atapattu, T., & Falkner, K. (2016). A framework for topic generation and labeling from MOOC discussions. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 201–204)
4. Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.
5. Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752
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