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Springer International Publishing
Reference20 articles.
1. Sokolova, T.N., Gusyatnikov, V.N., Bezrukov, A.I., Kayukova, I.V.: Assessment of the balance of the competence formation process: analysis of the curricula of Russian universities. Perspek. Nauk. Obraz. – Perspect. Sci. Educ. 53(5), 607–619 (2021). https://doi.org/10.32744/pse.2021.5.41
2. Yeung, C.-K.: Deep-IRT: make deep learning based knowledge tracing explainable using item response theory (2019). arXiv preprint arXiv:1904.11738
3. Cheng, S., Liu, Q., Chen, E., Huang, Z., Huang, Z., Chen, Y., Ma, H., Hu, G.: Dirt: deep learning enhanced item response theory for cognitive diagnosis. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 2397–2400 (2019)
4. Tuomi, I.: The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the Future. Publications Office of the European Union, Luxembourg (2018)
5. Dvoryatkina, S.N.: Integration of fractal and neural network technologies in pedagogical monitoring and assessment of knowledge of trainees. RUDN J. Psychol. Pedagog. 14(4), 451–465 (2017). https://doi.org/10.22363/2313-1683-2017-14-4-451-465