A Multi-agent Based Adaptive E-Learning System
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86970-0_48
Reference62 articles.
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3. Elumalai, K.V., et al.: Factors affecting the quality of E-learning during the COVID-19 pandemic from the perspective of higher education students. In: COVID-19 and Education: Learning and Teaching in a Pandemic-Constrained Environment, p. 189 (2021)
4. Sangineto, E., Capuano, N., Gaeta, M., Micarelli, A.: Adaptive course generation through learning styles representation. Univ. Access Inf. Soc. 7(1–2), 1–23 (2008). https://doi.org/10.1007/s10209-007-0101-0
5. Essalmi, F., Ayed, L.J.B., Jemni, M., Kinshuk, Graf, S.: A fully personalization strategy of e-learning scenarios. Comput. Hum. Behavior 26(4), 581–591 (2010)
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