Personalized E-Learning System Based on User’s Performance and Knowledge: An Adaptive Technique
Patchava. Ramya Sree1, Tammisetty. Bhuvaneswari2, Vulchi. Vamsi Swapnika Reddy3, Jonnalagadda. Surya Kiran4
1Patchava Ramya Sree, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
2Tammisetty Bhuvaneswari, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
3Vulchi Swapnika Reddy, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
4Jonnalagadda Surya Kiran,Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8695-8699 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8899118419/2019©BEIESP | DOI: 10.35940/ijrte.D8899.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Learning style of every individual is unique. We require some adaptive and personalization techniques to extract required learning content from enormous content available. Here we build up an adaptive learning approach so that the personalization is conceivable. An adaptive learning system is developed by considering learner’s knowledge. We develop this by considering a specific domain. It takes the individual’s performance into consideration and modifies constantly by responding with student specific learning content. We categorize learners based on the initial assessment conducted. Based on the results obtained and on his/her choice of content displayed. Learner’s performance is observed and modelled, adaption is done accordingly through continuous appraisals conducted after each module and tweaked during interactions. The essential goal of this paper is to incorporate the revelation of ideal settings, where the students can improve their learning capacities.
Keywords: Personalization, Adaptive Learning, Domain, Assessment, Interaction.
Scope of the Article: E-Learning.