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Machine Learning Techniques for Effective Facilitation of Teaching and Learning: A Narrative Review

Anuraj Malav*, Nehta Gupta**

* Junior Research Fellow, Department of Research and Development, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

** Professor and HOD, Department at School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

Periodicity:June - August'2018
DOI : https://doi.org/10.26634/jcom.6.2.15032

Abstract

Traditional teaching learning has transformed significantly towards offering a learner an experience that to a greater extent mimics a human tutor; while in a computer-based or valued learning environment, Machine Learning (ML) techniques implemented as algorithms have played a significant role. This paper is a review of different interventions of machine learning in selected types of teaching learning systems, presented as a descriptive analysis, recommendations emergent from this analysis have been presented. Further the possibility of applicability of these systems for supporting learning of individual with disabilities, has been explored and evidentially advocated machine learning algorithms hold tremendous potential in terms of enriching the systems, facilitating the learning of individuals with special needs by providing versatility and adoptive learning experiences learning effectiveness, and this thought has been further extended to a recommendation for individuals with a disability, essentially with the deemed design alternatives.

Keywords

Computer-Based Training (CBT), Disability, E-learning, Machine Learning (ML), Teaching-Learning, Web-based Training (WBT).

How to Cite this Article?

Malav ,A.,& Ahuja, N.J. (2018). Machine Learning Techniques for Effective Facilitation of Teaching And Learning: a narrative Review. i-manager’s Journal on Computer Science, 6(2), 42-47. https://doi.org/10.26634/jcom.6.2.15032

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