Responsive e-learning dynamic assessment structure using intelligent learning design

Abstract

A previously created e-learning model and learning system research have been conducted based on the 'one size fits all' idea. This approach ignores the distinctions between learners and pupils, delivering the same educational content to each one. With the advent of a new R&D style, researchers' and students' demands and preferences will shift. These days, quick e-learning courses come with online videos, audios, and desktop recording capabilities that used to need separate software. In contrast to printed textual lectures, students learn more effectively and enhance their abilities using onscreen instructional materials. As a consequence, there is a need for more adaptable learning and knowledge-based e-learning model assessment. This article focusses mostly on the learner modelling module and illustrates an adaptable model for an e-learning system. Students who are modelling are accountable for meeting this criteria in order to assess the degree of performance of learners in an online learning environment and satisfy specific needs.