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Nexus of Emotional Intelligence and Learning Outcomes: A Cross-Country Study of China and Pakistan Higher Educational Institutes.

Zahid ShafaitJiayu Huang
Published in: International journal of environmental research and public health (2022)
The purpose of this empirical study is to investigate the effects of emotional intelligence (EI) on learning outcomes (e.g., social, cognitive, and self-growth outcomes) and satisfaction with the university experience of academics and administrative staff at Chinese and Pakistani research universities. This study also investigates the mediation of self-directed learning (personal autonomy, personal responsibility, and personal growth) and knowledge management processes (KMPs) concerning the relationship between EI and learning outcomes. Moreover, this study explores the relationship between learning outcomes and creative performance (creative self-efficacy and leadership/supervisor support). The survey method was considered appropriate for the data collection and was completed simultaneously through paper and electronic mediums. The partial least squares structural equation modeling (PLS-SEM) method with a measurement assessment, structural assessment, mediation, and multi-group analysis was applied to a sample of 729 academics and administrative staff from Chinese and Pakistani research universities. A few dissimilarities surfaced with regard to EI and learning outcomes while evaluating the higher education institutions (HEIs) from both countries. Moreover, an indirect relation between EI and learning outcomes was established via self-directed learning and KMPs. Lastly, the intended direct statistical association between learning outcomes and creative performance was also documented. This study may serve as an initiative to equate and differentiate EI in relation to learning outcomes and creative performance among higher education professionals in China and Pakistan. The considered framework is novel and supports both EI and learning outcomes while adhering to the perceived value of the two adjacent regions.
Keyphrases
  • healthcare
  • mental health
  • quality improvement
  • physical activity
  • machine learning
  • cross sectional
  • metabolic syndrome
  • tertiary care