METHODOLOGICAL APPROACHES TO DEVELOPING UNIVERSITY STUDENTS’ DIGITAL COMMUNICATIVE COMPETENCE BASED ON EMOTIONAL INTELLIGENCE

Authors

  • Kamiljanova Malikakhon Independent Researcher Kimyo International University in Tashkent

DOI:

https://doi.org/10.5281/zenodo.23312383

Abstract

This article substantiates a set of methodological approaches to developing university students’ digital communicative competence through emotional intelligence within social science and humanities courses. The study focuses on the design phase of design-based research and integrates pedagogical modelling, constructive alignment of learning outcomes, instructional activities and assessment, and the mapping of empirically identified risk factors associated with problematic online behaviour to appropriate instructional techniques. Based on this framework, four design principles were derived, and five complementary methodological approaches were specified: case-based analysis of authentic online situations, emotional-reflective training, prebunking through serious games, peer-led learning, and project-based digital content creation. For each approach, the target competence component, core instructional techniques and assessment tools are defined. An eight-session instructional module and a four-level assessment rubric are also presented. The proposed instructional design is theoretically grounded but has not yet undergone empirical testing. Accordingly, the conditions for its subsequent experimental validation are outlined.

Keywords

digital communicative competence, emotional intelligence, teaching methodology, case-based learning, prebunking, peer-led learning, constructive alignment, higher education

References

Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32(3), 347–364.

Brackett M., A., Rivers S., E., & Salovey, P. (2011). Emotional intelligence: Implications for personal, social, academic, and workplace success. Social and Personality Psychology Compass, 5(1), 88–103.

Durlak J., A., Weissberg R., P., Dymnicki A., B., Taylor R., D., & Schellinger K., B. (2011). The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82(1), 405–432.

Gross J., J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3), 271–299.

Hmelo-Silver C., E. (2004). Problem-based learning: What and how do students learn?. Educational Psychology Review, 16(3), 235–266.

Jeong, S. (2012). -H., Cho H., Hwang Y. Media literacy interventions: A meta-analytic review. Journal of Communication, 62(3), 454–472. https://doi.org/10.1111/j.1460-2466.2012.01643.x

Kamiljanova, M. (2025). The influence of internet communication means on the social and psychological characteristics of youth and their social behavior. Sustainable Agriculture, 4(28), 5–7. https://doi.org/10.5281/zenodo.17990622

Kolb D., A. (1984). Experiential learning: Experience as the source of learning and development / D. A. Kolb. Prentice-Hall.

Люсин Д., В. (2006). Новая методика для измерения эмоционального интеллекта: опросник ЭмИн. Психологическая диагностика, (4), 3–22.

Ortega-Ruiz, R. (2012). Del Rey R., Casas J. A. Knowing, building and living together on internet and social networks: The ConRed cyberbullying prevention program. International Journal of Conflict and Violence, 6(2).

Palladino B., E., Nocentini, A., & Menesini, E. (2016). Evidence-based intervention against bullying and cyberbullying: Evaluation of the NoTrap! program in two independent trials. Aggressive Behavior, 42(2), 194–206.

Piccerillo, L., & Digennaro, S. (2025). Adolescent social media use and emotional intelligence: A systematic review. Adolescent Research Review, 10(2), 201–218. https://doi.org/10.1007/s40894-024-00245-z

Rivers S., E., Brackett M., A., Reyes M., R., Elbertson N., A., & Salovey, P. (2013). Improving the social and emotional climate of classrooms: A clustered randomized controlled trial testing the RULER Approach. Prevention Science, 14(1), 77–87.

Roozenbeek, J. (2019). van der Linden S. Fake news game confers psychological resistance against online misinformation. Palgrave Communications, 5, 41599–019. https://doi.org/10.1057/s41599-019-0279-9

Schön D., A. (1983). The reflective practitioner: How professionals think in action / D. A. Schön. Basic Books.

Valkenburg P., M., & Peter, J. (2007). Online communication and adolescent well-being: Testing the stimulation versus the displacement hypothesis. Journal of Computer-Mediated Communication, 12(4), 1169–1182.

Wang, F., & Hannafin M., J. (2005). Design-based research and technology-enhanced learning environments. Educational Technology Research and Development, 53(4), 5–23.

Wartberg, L., Thomasius, R., & Paschke, K. (2021). The relevance of emotion regulation, procrastination, and perceived stress for problematic social media use in a representative sample of children and adolescents. Computers in Human Behavior, 121.

Williford, A., Elledge L., C., Boulton A., J., DePaolis K., J., Little T., D., & Salmivalli, C. (2013). Effects of the KiVa antibullying program on cyberbullying and cybervictimization frequency among Finnish youth. Journal of Clinical Child & Adolescent Psychology, 42(6), 820–833.

Young K., S. (1998). Caught in the net: How to recognize the signs of internet addiction / K. S. Young. John Wiley & Sons.

Downloads

Published

2026-04-01

How to Cite

Malikakhon, K. (2026). METHODOLOGICAL APPROACHES TO DEVELOPING UNIVERSITY STUDENTS’ DIGITAL COMMUNICATIVE COMPETENCE BASED ON EMOTIONAL INTELLIGENCE. Innovation Science and Technology, 2(10), 73–79. https://doi.org/10.5281/zenodo.23312383
Vol. 2 No. 10 (2026): Innovation Science and Technology