SMART Education Framework to Assess the Knowledge of Engineering Students
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40628-7_7
Reference20 articles.
1. El Janati, S., Maach, A., El Ghanami, D.: SMART education framework for adaptation content presentation. Procedia Comput. Sci. 127, 436–443 (2018). https://doi.org/10.1016/j.procs.2018.01.141
2. Zhang, A., Feng, X.: The concept analysis of smart teaching. Nurse Educ. Today 112 (2022). https://doi.org/10.1016/J.NEDT.2022.105329
3. Zhu, Z.-T., Yu, M.-H., Riezebos, P.: A research framework of smart education. Smart Learn. Environ. 3(1), 1–17 (2016). https://doi.org/10.1186/s40561-016-0026-2
4. Bajaj, R., Sharma, V.: Smart education with artificial intelligence based determination of learning styles. Procedia Comput. Sci. 132, 834–842 (2018). https://doi.org/10.1016/j.procs.2018.05.095
5. Alisherov, F.A., Iskandarov, S.Q., Bekturdiyev, S.Sh., Khujaev, O.K.: Development of methods for assessing the performance of teachers using of TUIT-LMS data. J. Phys. Conf. Ser. 1889 (2021). https://doi.org/10.1088/1742-6596/1889/5/052015
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