Recommender System to Enhancing Efficacy of E-Learning System
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-33-4681-9_7
Reference11 articles.
1. Al- A, Shen J, Member S, Al-hmouz R, Yan J (2012) Modeling and simulation of an adaptive neuro-fuzzy inference system (ANFIS ) for mobile learning. IEEE Trans Learn Technol 5(3):226–237
2. Medwell J et al (2019) Concept-based teaching and learning: integration and alignment across IB programmes a report to the international baccalaureate organisation
3. Botsios S, Georgiou D (2008) Recent adaptive e-learning contributions towards a standard ready architecture. e-Learning. https://utopia.duth.gr/~dgeorg/PUBLICATIONS/53.pdf
4. Kavčič A (2004) Fuzzy user modeling for adaptation in educational hypermedia. IEEE Trans Syst Man Cybern Part C Appl Rev 34(4):439–449. https://doi.org/10.1109/TSMCC.2004.833294
5. Acampora G (2011) A TSK neuro-fuzzy approach for modeling highly dynamic systems. 2011 IEEE Int Conf Fuzzy Syst (FUZZ-IEEE 2011). pp 146–152. https://doi.org/10.1109/FUZZY.2011.6007638
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