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ISSN Number:
2582-8568
Journal DOI No:
03.2021-11278686
Title:
An Emotional Intelligence measure using Machine Learning Techniques for Higher Education concerning UG students
Authors:
Cite this Article:
,
An Emotional Intelligence measure using Machine Learning Techniques for Higher Education concerning UG students, International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Special Issue, January 2024 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India), Page No : 92-101,
Available at : http://irjhis.com/paper/IRJHISIC2401012.pdf
Abstract:
Several studies have looked at how students' emotions affect their class participation. The connection between Emotional Intelligence (EI) and other significant outcomes in higher education is poorly understood. The impact of children's emotional intelligence on their school performance is investigated here. Self-emotion appraisal (SEA) and use of emotion (UOE) were both significantly related to academic performance.The level of emotional intelligence a person has is a strong indicator of how well they will do in school, and this inversely correlates with the level of academic success, by developing models to comprehend college graduates, had the highest accuracy in this study's cross-paper comparison and application of diverse methodologies, at 99.8 percent. The findings of this study provide credence to previous studies which have proposed that instructors take students' EI into account when developing lesson plans.
Keywords:
Emotional intelligence, Higher education, Academic performance, knowledge.
Publication Details:
Published Paper ID: IRJHISIC2401012
Registration ID: 21292
Published In: Special Issue, January 2024 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India)
Page No: 92-101
ISSN Number: 2582-8568
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