Papers

Title: Enhancing the Adaptive E-learning Environment by using the Markov Decision Process (MDP)
Year of Publication: 2018
Publisher: International Journal of Computer Systems (IJCS)
ISSN: 2394-1065
Series: Volume 05, Number 9, September 2018
Authors: Norah Alqahtani , Mahmod Kamel, Mostafa Saleh

Citation:

Norah Alqahtani , Mahmod Kamel, Mostafa Saleh, "Enhancing the Adaptive E-learning Environment by using the Markov Decision Process (MDP)", In International Journal of Computer Systems (IJCS), pp: 43-46, Volume 5, Issue 9, September 2018. BibTeX

@article{key:article,
	author = {Norah Alqahtani , Mahmod Kamel, Mostafa Saleh},
	title = {Enhancing the Adaptive E-learning Environment by using the Markov Decision Process (MDP)},
	journal = {International Journal of Computer Systems (IJCS)},
	year = {2018},
	volume = {5},
	number = {9},
	pages = {43-46},
	month = {September}
	}


Abstract

Adaptive learning assists by increasing the number of learners, as it overcome barriers to learning such as distance and time factors. Recently, there has been much research into adaptive e-learning, which has helped to improve the learning process. This paper discusses some models that have been used to improve adaptive e-learning systems and suggests that the Markov Decision Process (MDP) should be used to improve adaptivity in the learning process. The results indicate that the MDP can help in the development of adaptive e-learning.

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Keywords

e-learning, adaptive, adaptive learning, learning style, Markov Decision Process, dynamic programming.