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      AI Intelligence Chatbot to Improve Students Learning in the Higher Education Platform

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          Abstract

          The integrated chatbot for artificial intelligence customizes the learning experience for the students in higher education platform. The chatbot tests the answers of the students and offers insights for the students to improve their learning skills. Further, It helps to improve students’ thinking ability and expectations in higher education platform. The demanding factors for the students in the higher education platform include the need for interactive learning in a non-linear world, enhancing the thinking ability and expectations of the students. This paper proposes Artificial Intelligence Based Inquiry Evaluation Student Learning System (AI-IESLS) to increase interactive learning experience in a non-linear environment. The principal aim of this system is to improve the learning ability of the student on a specific subject using concept mapping in the chatbot. In addition, mapping has been validated for students based on the probability distribution analysis using a concept mapping. Besides, the probability graph’s curve generated by this system assesses the student’s understanding of the topic. The simulation results have been analyzed among students based on concept mapping using the AI-IESLS system in correlation with the traditional approach based on assessment ratio, feedbacks, reciprocity, timing analysis, expectation ratio, and active learning factor.

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                Author and article information

                Journal
                Journal of Interconnection Networks
                J. Inter. Net.
                World Scientific Pub Co Pte Ltd
                0219-2659
                1793-6713
                April 2022
                January 28 2022
                April 2022
                : 22
                : Supp02
                Affiliations
                [1 ]Xinxiang University, Henan 453003, P. R. China
                [2 ]Vallurupalli Nageswara Rao Vignana Jyothi, Institute of Engineering & Technology, Hyderabad, India
                [3 ]Department of EC, MSRIT, Bangalore, India
                Article
                10.1142/S0219265921430325
                7541da1b-7dff-45c7-86c3-1d242cad1ff6
                © 2022
                History

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