Empirical Investigation of Emotional Intelligence Components Enhancing Teacher Effectiveness in Higher Education.

This study evaluates the relationship between Emotional Intelligence (EI) and Teacher Effectiveness (TE) among faculty in Indian colleges using an empirical approach. Four dimensions of EI—Self-Emotional Appraisal (SEA), Others’ Emotional Appraisal (OEA), Regulation of Emotion (ROE), and Use of Emotion (UOE)—were assessed to determine their impact on TE. Data were collected from 600 college teachers using the Wong and Law Emotional Intelligence Scale (WLEIS), which comprised sixteen items. The findings reveal a significant relationship between EI and TE, with UOE demonstrating the most substantial impact. Employing Linear Structural Equation Modelling (SEM), the study confirmed that the measurement, structural, and overall models aligned well. However, the research has limitations, including its reliance on quantitative methods and self-report measures, which may introduce social desirability bias. Future studies should incorporate qualitative methods and explore the integration of EI into academic curricula. Practical implications suggest targeted interventions to enhance EI components, thereby improving TE cost-effectively. This research underscores the importance of culturally relevant EI strategies in enhancing teacher performance in Indian higher education, offering valuable insights for policymakers and educational stakeholders.

Authors

Institutions

Publication Details

Journal
MIER Journal of Educational Studies Trends & Practices
Published
2025-05-01
DOI
https://doi.org/10.52634/mier/2025/v15/i1/2897
Primary Topic
Emotional Intelligence and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empirical Investigation of Emotional Intelligence Components Enhancing Teacher Effectiveness in Higher Education.

Hemant Sharma, Damanpreet Kaur
MIER Journal of Educational Studies Trends & Practices
Emotional Intelligence and Performance
article

Empirical Investigation of Emotional Intelligence Components Enhancing Teacher Effectiveness in Higher Education.

Hemant Sharma, Damanpreet Kaur
article en

Abstract

This study evaluates the relationship between Emotional Intelligence (EI) and Teacher Effectiveness (TE) among faculty in Indian colleges using an empirical approach. Four dimensions of EI—Self-Emotional Appraisal (SEA), Others’ Emotional Appraisal (OEA), Regulation of Emotion (ROE), and Use of Emotion (UOE)—were assessed to determine their impact on TE. Data were collected from 600 college teachers using the Wong and Law Emotional Intelligence Scale (WLEIS), which comprised sixteen items. The findings reveal a significant relationship between EI and TE, with UOE demonstrating the most substantial impact. Employing Linear Structural Equation Modelling (SEM), the study confirmed that the measurement, structural, and overall models aligned well. However, the research has limitations, including its reliance on quantitative methods and self-report measures, which may introduce social desirability bias. Future studies should incorporate qualitative methods and explore the integration of EI into academic curricula. Practical implications suggest targeted interventions to enhance EI components, thereby improving TE cost-effectively. This research underscores the importance of culturally relevant EI strategies in enhancing teacher performance in Indian higher education, offering valuable insights for policymakers and educational stakeholders.

MIER Journal of Educational Studies Trends & Practices
GNA University (IN)
Openalex Percentile: Top 90%
Emotional Intelligence and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.