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Towards the Development of an Adaptive E-learning System with Chatbot Using Personalized E-learning Model

Published: 05 October 2021 Publication History

Abstract

Although there is no distinctive header, this is the abstract. This submission template allows authors to submit their papers E-learning has become one of the most used electronic systems in the field of education. Although it is beneficial, there are still some lacking capabilities and considerations that can negatively affect the performance of the students. This leads to the innovation that makes e-learning systems adaptive to the users’ personality, knowledge, behavior, interest, or preferences, the system is called personalized e-learning system. This survey paper aims to provide the general parameters in creating a personalized e-learning system based on the 150 research papers collected, and a timespan of 2016 to 2020 as a condition. Through a series of literature reviews of research papers published in the last five years, also related to personalized e-learning systems, this paper presents the common components, tools and algorithms, and learning model that are generally used in developing a personalized e-learning system to help as reference in developing more effective personalized e-learning systems. Moreover, considering the findings of this study, this paper has proposed developing a hybrid e-learning system with a chatbot.

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cover image ACM Other conferences
ICFET '21: Proceedings of the 7th International Conference on Frontiers of Educational Technologies
June 2021
241 pages
ISBN:9781450389723
DOI:10.1145/3473141
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 05 October 2021

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Author Tags

  1. Adaptive
  2. Chatbot
  3. Myer-Briggs Type Indicator Theory
  4. Personalized e-Learning Model

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  • (2025)Chatbot in education: trends, personalisation, and techniquesMultimedia Tools and Applications10.1007/s11042-025-20659-8Online publication date: 5-Feb-2025
  • (2024)A Software Requirement Prioritization Method for Online Education Software Development2024 4th International Conference on Information Communication and Software Engineering (ICICSE)10.1109/ICICSE61805.2024.10625686(25-29)Online publication date: 10-May-2024
  • (2023)أثر الحوسبة السحابية في دعم التعلم الالكتروني دراسة تحليلية لآراء عينة من المختصين في المعلوماتية في شركة آسياسيل للاتصالاتTikrit Journal of Administrative and Economic Sciences10.25130/tjaes.19.63.1.219:63, 1(22-42)Online publication date: 30-Sep-2023
  • (2023)Towards Adaptive Personality-based Learning System: A Case Study of Mapua University in Designing Computing Course e-Materials2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)10.1109/HNICEM60674.2023.10589130(1-6)Online publication date: 19-Nov-2023
  • (2022)Self-Adaptive Feedback E-Learning Scheme for Elementary Math in Kuwait2022 4th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)10.1109/ICECIE55199.2022.10000393(1-9)Online publication date: 26-Nov-2022

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