A Pattern Recognition Method of Personalized Adaptive Learning in Online Education
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-022-01942-6.pdf
Reference20 articles.
1. Ritz H, Nassar MR, Frank MJ, Shenhav A (2018) A control theoretic model of adaptive learning in dynamic environments. J Cogn Neurosci 30(10):1405–1421
2. Pulukuri S, Abrams B (2020) Incorporating an online interactive video platform to optimize active learning and improve student accountability through educational videos. J Chem Educ 97(12):4505–4514
3. Klanja-Milievi A, Ivanovi M, Vesin B, Budimac Z (2018) Enhancing e-learning systems with personalized recommendation based on collaborative tagging techniques. Appl Intell 48(6):1519–1535
4. Díez J, Pérez-Núez P, Luaces O, Remeseiro B, Bahamonde A (2020) Towards explainable personalized recommendations by learning from users’ photos. Inf Sci 520:416–430
5. Zhou H (2018) Study on promoting Students’ personalized learning based on adaptive learning platform. E-Educ Res 039(004):122–128
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