Manuscript received March 30, 2022; revised April 15, 2022; accepted June 6, 2022.
Abstract—E-learning has become one of the most extensively used electronic systems in the field of education. Despite its benefits, there are some capabilities and concerns that may have a negative impact on students’ performance. As a result, personalized e-learning systems are being developed, which adapt e-learning systems to the users’ personality, knowledge, behavior, interests, or preferences. This will improve the overall learning experience and performance of the students. This study created and tested an e-learning system, called “Cybele” to help students learn cybersecurity in an online mode of learning. “Cybele” is a personality-based virtual instructor for cybersecurity online learning that includes a chatbot built using Rasa Open Source. The paper used Myers-Briggs Type Indicator (MBTI) personality model for initial learner assessment to address various student learning styles for a better online learning experience. Testing was done for the system functionality and the traditional learning approach was compared to the personalized e-learning system. Results show that students who participated in the developed adaptive e-learning environment performed better than those who pursue the traditional learning method.
Index Terms—Personalized e-learning, adaptive learning environment, learning styles, Myer-Briggs type indicator theory
The authors are with School of IT, Mapua University, Manila, Philippines.
*Correspondence: mjcsamonte@yahoo.com (M.J.S.)
Cite: Mary Jane Samonte*, Gabriel Edrick O. Acuña, Luis Antonio Z. Alvarez, and Jeffrey M. Miraflores, "A Personality-Based Virtual Tutor for Adaptive Online Learning System," International Journal of Information and Education Technology vol. 13, no. 6, pp. 899-905, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).