A Review of Adaptive Learning Systems for Digital Learning Platforms

Author(s):

Sagarika Ramesh , Extreme Networks; Suraj Kumar Jana, Opencube Labs

Keywords:

Digital Learning, Adaptive Learning Systems, Engagement, Gamification, Personalized Learning

Abstract:

Digital learning platforms are changing the way we learn and when we learn. Massive Online Open Courses (MOOCs) from world-class universities are making education accessible globally free of cost. Today we have millions of hours of content available on the web to learn about almost anything. A major challenge faced by digital learning platforms is to engage with learners better who come from various backgrounds and understanding levels. Learners on the web need personalized learning paths to optimize their learning outcomes. Adaptive Learning Systems (ALS) is making digital learning personalized, engaging, gamified and more productive. With ALS, learners can get personalized learning path recommendations along with unique examples and scenarios based on learner profiles to make them understand concepts better. In this paper, we discuss and analyze different approaches to ALS, their methodologies in trying to solve problems faced by learners and learning providers along with recommendation engines.

Other Details:

Manuscript Id	:	IJSTEV6I12014
Published in	:	Volume : 6, Issue : 12
Publication Date	:	01/07/2020
Page(s)	:	28-31

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