The ubiquitous nature of emotional intelligence, as a central theme in every aspect of our lives-be it at work, school, or home-coupled with the growing prevalence of digital interactions, makes it fundamental to develop our understanding of emotional intelligence in a digital world. However, the digital world represents more than just a contextual factor to consider, as interactions in digital environments require digital competence. The objective of this paper is to conceptualize "digital emotional intelligence" as the integration of both emotional intelligence and digital competence. The model we propose posits that trait emotional intelligence predicts attitudes toward digital competence, while digital ability emotional intelligence is predicted by digital competence skills and digital competence knowledge. Using a self-reported questionnaire on 503 respondents, a structural equation model highlights a positive relationship between trait emotional intelligence and attitudes toward digital competence.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187756 | PMC |
http://dx.doi.org/10.3389/fpsyg.2023.1154355 | DOI Listing |
Behav Brain Sci
January 2025
Department of Psychology, Harvard University, Cambridge, MA,
Murayama and Jach offer valuable suggestions for how to integrate computational processes into motivation theory, but these processes cannot do away with motivation altogether. Rewards are only rewarding because people want and like them - that is, because of motivation. Sexual desire is not primarily a quest for rewarding information.
View Article and Find Full Text PDFBehav Brain Sci
January 2025
Department of Human Development and Quantitative Methodology, University of Maryland, College Park, College Park, MD,
In their article, Murayama and Jach contend that a mental computational model demonstrates that high-level motivations are emergent properties from underlying cognitive processes rather than instigators of behaviors. Despite points of agreement with the authors' critiques of the motivation literature, I argue that their claim of dismantling the black box of the human mind has been constructed on shaking grounds.
View Article and Find Full Text PDFBehav Brain Sci
January 2025
Neuroelectronics Research Flanders (NERF), and Department of Neuroscience, KU Leuven, Leuven,
Murayama and Jach point out that we do not sufficiently understand the constructs and mental computations underlying higher-order motivated behaviors. Although this may be generally true, we would like to add and contribute to the discussion by outlining how interdisciplinary research on has advanced the study of learning and curiosity.
View Article and Find Full Text PDFBMC Public Health
January 2025
Faculty of Physical Education and Health, Lin yi University, Lin yi, 276006, China.
Objective: Based on the self-determination theory, the three types of autonomy support of parents, teachers and peers as a whole were included in the same research system to explore their effects on exercise adherence of higher vocational college students and their internal mechanisms.
Methods: The study used the exercise autonomy support scale, autonomous motivation scale and exercise adherence scale to construct and test the hypothesised pathways for promoting exercise adherence among students in higher vocational college. Using the data obtained from a survey of 436 higher vocational college students as the unit of analysis, and taking into account the variable of students' self-determined motivation.
Acta Psychol (Amst)
January 2025
Excellence Research Group GR179 Educational Psychology, Department of Psychology, University of Valladolid, Valladolid, Spain. Electronic address:
Unlabelled: Emotional education helps to develop emotional intelligence skills and to bolster teachers' overall well-being.
Aims: to gauge the effectiveness of the programme designed to enhance the emotional intelligence, life satisfaction, life orientation, and work well-being of teaching staff. A quasi-experimental design was employed with an experimental group and a control group, using pre-test and post-test to measure changes.
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