INTELLIGENT LEARNING MODEL IN ADAPTIVE E-LEARNING AND EVALUATION FRAMEWORK



Authors

  • Santosh Kumar, Baldev Singh

DOI:

https://doi.org/10.15282/jmes.17.1.2023.10.0759


Keywords:

Adaptive Learning, Intelligent e-learning, Student Model, Evaluation, learning objective.


Abstract

Based on the principle of 'one size fits all', a previously developed e-learning model and learning system research have been carried out, where differences between learners and students were not taken into account, the same educational material was provided to each learner or student. The needs and preferences of researchers and students will change with the introduction of a new R&D style. The rapid e-learning programs of these days are equipped with online videos, audios, and desktop recording features for which separate software were required in earlier days. Students develop their skills and learn better from onscreen teaching material as compared to printed textual lectures. The result of this to require more adaptive learning & evaluation of e-learning model based on student knowledge. In this current article adaptive model for e-learning framework illustrated and fundamentally concentrate on learner modelling module. In order to meet individual requirements and evaluate the level of learners' performance in a e-learning environment, students modeling are responsible for fulfilling this requirement.



Published

2024-03-28

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