Proceedings Article10.1109/INVENTIVE.2016.7824844
Adaptive e-learning system using hybrid approach
Nitish Trikha,Anand Godbole +1 more
- 01 Aug 2016
Vol. 2016, pp 1-4
6
TL;DR: An E-learning system is proposed which is hybrid in nature since it would facilitate different modes for content delivery matching with learner's personality based on the Myers-Briggs Type Indicator and the different levels of learning required by the learner based on revised Bloom's Taxonomy.
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Abstract: E-learning applications must be designed so as to cater the different needs of learners as each learner learns differently. An E-learning system is proposed which is hybrid in nature since it would facilitate different modes for content delivery matching with learner's personality based on the Myers-Briggs Type Indicator (MBTI) and the different levels of learning required by the learner based on revised Bloom's Taxonomy. The learner's profile is initialized according to the results obtained by the learner in questionnaire which determines the learner's personality type and dominant personality type. Once a learner chooses a course to learn and selects its learning level, a quiz on the learner's chosen topic is taken. A quiz after the completion of E-learning course would be taken to examine the improvement in learning capabilities of the learner.
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Citations
•Dissertation
An Agent-based Architecture to Support Adaptivity in Virtual Learning Environments Based on Learners’ Learning Styles
Mohammad Al-Omari
- 01 Jan 2017
TL;DR: A hybrid architecture design is proposed reflecting a novel approach in order to support dynamic real-time adaptivity in any LMS based on learners’ learning styles, designed based on a computational model using the technology of intelligent agents and the concept of the Event-ConditionAction (ECA) model.
7
Research Trends in Adaptive Online Learning: Systematic Literature Review (2011–2020)
TL;DR: A comprehensive and up-to-date review that looks at the aspects of adaptive online learning systems in terms of the learner characteristics being modelled, domain model, adaptation model, the various techniques used to achieve the various tasks in those models and the impact the adaptive onlinelearning has on learning.
6
Qualitative Evaluation of an Adaptive Exercise Selection Algorithm
Juliet Okpo,Judith Masthoff,Matt Dennis +2 more
- 21 Jun 2021
TL;DR: In this paper, the authors present a qualitative study in which they evaluate the core parts of an adaptive algorithm for next-exercise selection in an e-learning system, which was previously constructed from a series of studies where participants played the role of a teacher and chose the difficulty of a subsequent exercise for a learner based on their performance, mental effort and self esteem.
4
Conceptualizing a Framework for Adaptive Exercise Selection with Personality as a Major Learner Characteristic
Juliet Okpo,Judith Masthoff,Matt Dennis,Nigel Beacham +3 more
- 09 Jul 2017
TL;DR: A preliminary framework of the relationship between some of these learner characteristics, with an emphasis on personality, and how they can be used by an ITS to adapt exercise selection is presented.
A Recommender System for Videos Suggestion in a SPOC: A Proposed Personalized Learning Method
Naima Belarbi,Nadia Chafiq,Mohammed Talbi,Abdelwahed Namir,Habib Benlahmar +4 more
- 29 Nov 2018
TL;DR: A hybrid recommendation technique which consists on analyzing users’ video behavior while enrolling into a SPOC, estimating their interest in videos, finding learners with similar profile and finally recommending target user the same videos in which similar users are interested in is adopted.
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E-learning personalization based on dynamic learners ' preference
TL;DR: Teaching strategies matching with learner’s personality using the Myers-Briggs Type Indicator (MBTI) tools and the result reveals the system effectiveness for which it appears that the proposed approach may be promising.