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Published in:
2021 | OriginalPaper | Chapter
A Brief Study on Analyzing Student’s Emotions with the Help of Educational Data Mining
Authors : S. Aruna, J. Sasanka, D. A. Vinay
Published in: Computer Networks, Big Data and IoT
Publisher: Springer Singapore
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Abstract
Recently, the idea has reached toward considering the emotions in the learning procedure which prompts to design an innovative framework that empowers correlative analysis and classifications of various emotional variations of an individual. There is an absence of teaching pedagogues to distinguish the standard articulations of people. In the past decade, research articles have recorded the lacking properties and attempt to recognize the equivalent benefit to overcome the difficulties. This enhances the part of identifying emotions as a device to perceive the sentiments of understudies while learning. This article encompasses the record of all analytical examinations of student’s emotions by applying different strategies, models, calculations and devices. This article wraps the considered works and gives the examination of qualities, shortcomings, openings, whose parts are addressed and the future work to be accomplished.