The Effect of Emotional Intelligence Counseling on Elementary School Students' Self-Control in Facing Conflicts

Muhammad Syahrul (1), Rinovian Rais (2), Yuli Yanti (3), Rusyati Prihatin (4), Asni Asni (5)
(1) Universitas Muslim Indonesia, Indonesia,
(2) Universitas Indraprasta PGRI, Indonesia,
(3) Universitas Negeri Malang, Indonesia,
(4) Institut Al-Ma’arif Way Kanan, Indonesia,
(5) SMA Kartika Wirabuana XX-1 Makassar, Indonesia

Abstract

Emotional intelligence plays a crucial role in fostering students' ability to manage emotions and navigate interpersonal conflicts effectively. This study examines the impact of emotional intelligence counseling on enhancing self-control among elementary school students when dealing with conflicts. The research aimed to identify the effectiveness of a structured counseling intervention in improving students' emotional regulation and conflict resolution skills. A quasi-experimental method with a pre-test and post-test control group design was employed. The sample consisted of 60 elementary school students selected through purposive sampling, divided equally into experimental and control groups. Data were collected using self-control questionnaires, conflict observation sheets, and structured interviews. The results indicated a significant improvement in self-control among students who participated in emotional intelligence counseling compared to those in the control group. Participants demonstrated enhanced emotional regulation, reduced impulsive behaviors, and improved ability to resolve conflicts constructively. The findings suggest that integrating emotional intelligence counseling into school programs effectively supports the development of students’ social-emotional skills.

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References

Ali, S. (2021). Reviewing the strategies for climate change and sustainability after the US defiance of the Paris Agreement: An AHP–GMCR-based conflict resolution approach. Environment, Development and Sustainability, 23(8), 11881–11912. https://doi.org/10.1007/s10668-020-01147-5

Ali, U. (2021). Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis. Energy and Buildings, 246(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.enbuild.2021.111073

Alzoubi, H. M. (2021). Does emotional intelligence contribute to quality of strategic decisions? The mediating role of open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020130

Barker, T. H. (2022). Revising the JBI quantitative critical appraisal tools to improve their applicability: An overview of methods and the development process. JBI Evidence Synthesis, 21(3), 478–493. https://doi.org/10.11124/JBIES-22-00125

Chandra, Y. (2021). Online education during COVID-19: Perception of academic stress and emotional intelligence coping strategies among college students. Asian Education and Development Studies, 10(2), 229–238. https://doi.org/10.1108/AEDS-05-2020-0097

Erol, B. A. (2020). Toward Artificial Emotional Intelligence for Cooperative Social Human-Machine Interaction. IEEE Transactions on Computational Social Systems, 7(1), 234–246. https://doi.org/10.1109/TCSS.2019.2922593

Fabio, A. D. (2021). The relationship of compassion and self-compassion with personality and emotional intelligence. Personality and Individual Differences, 169(Query date: 2025-01-27 20:59:05). https://doi.org/10.1016/j.paid.2020.110109

Giao, H. N. K. (2020). The effect of emotional intelligence on turnover intention and the moderating role of perceived organizational support: Evidence from the banking industry of vietnam. Sustainability (Switzerland), 12(5), 1–25. https://doi.org/10.3390/su12051857

Guo, X. (2021). Supporting resilient conceptual design using functional decomposition and conflict resolution. Advanced Engineering Informatics, 48(Query date: 2025-01-27 14:00:41). https://doi.org/10.1016/j.aei.2021.101262

Hipel, K. W. (2020). The Graph Model for Conflict Resolution: Reflections on Three Decades of Development. Group Decision and Negotiation, 29(1), 11–60. https://doi.org/10.1007/s10726-019-09648-z

Hipel, K. W. (2021). The Graph Model for Conflict Resolution and Decision Support. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(1), 131–141. https://doi.org/10.1109/TSMC.2020.3041462

Jian, C. (2020). Quantitative PCR provides a simple and accessible method for quantitative microbiota profiling. PLoS ONE, 15(1). https://doi.org/10.1371/journal.pone.0227285

Khosravi, P. (2020). Emotional intelligence: A preventive strategy to manage destructive influence of conflict in large scale projects. International Journal of Project Management, 38(1), 36–46. https://doi.org/10.1016/j.ijproman.2019.11.001

Li, C. (2020). A Positive Psychology perspective on Chinese EFL students’ trait emotional intelligence, foreign language enjoyment and EFL learning achievement. Journal of Multilingual and Multicultural Development, 41(3), 246–263. https://doi.org/10.1080/01434632.2019.1614187

Li, C. (2021). The predictive effects of classroom environment and trait emotional intelligence on Foreign Language Enjoyment and Anxiety. System, 96(Query date: 2025-01-27 20:59:05). https://doi.org/10.1016/j.system.2020.102393

Li, T. (2023). Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information. Information Sciences, 638(Query date: 2025-01-27 14:00:41). https://doi.org/10.1016/j.ins.2023.118959

Luo, J. (2022). Transport infrastructure connectivity and conflict resolution: A machine learning analysis. Neural Computing and Applications, 34(9), 6585–6601. https://doi.org/10.1007/s00521-021-06015-5

MacCann, C. (2020). Emotional Intelligence Predicts Academic Performance: A Meta-Analysis. Psychological Bulletin, 146(2), 150–186. https://doi.org/10.1037/bul0000219

Magana, A. J. (2022). Teamwork facilitation and conflict resolution training in a HyFlex course during the COVID-19 pandemic. Journal of Engineering Education, 111(2), 446–473. https://doi.org/10.1002/jee.20450

Moeller, R. (2020). Emotional Intelligence, Belongingness, and Mental Health in College Students. Frontiers in Psychology, 11(Query date: 2025-01-27 20:59:05). https://doi.org/10.3389/fpsyg.2020.00093

Moro?, M. (2021). Trait emotional intelligence and emotional experiences during the COVID-19 pandemic outbreak in Poland: A daily diary study. Personality and Individual Differences, 168(Query date: 2025-01-27 20:59:05). https://doi.org/10.1016/j.paid.2020.110348

Nooraie, R. Y. (2020). Social Network Analysis: An Example of Fusion Between Quantitative and Qualitative Methods. Journal of Mixed Methods Research, 14(1), 110–124. https://doi.org/10.1177/1558689818804060

Prentice, C. (2020). Emotional intelligence or artificial intelligence– an employee perspective. Journal of Hospitality Marketing and Management, 29(4), 377–403. https://doi.org/10.1080/19368623.2019.1647124

Resnik, P. (2020). Trait emotional intelligence, positive and negative emotions in first and foreign language classes: A mixed-methods approach. System, 94(Query date: 2025-01-27 20:59:05). https://doi.org/10.1016/j.system.2020.102324

Resnik, P. (2023). Learner emotions, autonomy and trait emotional intelligence in “in-person” versus emergency remote English foreign language teaching in Europe. Applied Linguistics Review, 14(3), 473–501. https://doi.org/10.1515/applirev-2020-0096

Ribeiro, M. (2020). Review of conflict resolution methods for manned and unmanned aviation. Aerospace, 7(6). https://doi.org/10.3390/AEROSPACE7060079

Samsonovich, A. V. (2020). Socially emotional brain-inspired cognitive architecture framework for artificial intelligence. Cognitive Systems Research, 60(Query date: 2025-01-27 20:59:05), 57–76. https://doi.org/10.1016/j.cogsys.2019.12.002

Sánchez-Álvarez, N. (2020). A Meta-Analysis of the Relationship Between Emotional Intelligence and Academic Performance in Secondary Education: A Multi-Stream Comparison. Frontiers in Psychology, 11(Query date: 2025-01-27 20:59:05). https://doi.org/10.3389/fpsyg.2020.01517

Sarrionandia, A. (2020). A meta-analysis of the possible behavioural and biological variables linking trait emotional intelligence to health. Health Psychology Review, 14(2), 220–244. https://doi.org/10.1080/17437199.2019.1641423

Shafait, Z. (2021). An assessment of students’ emotional intelligence, learning outcomes, and academic efficacy: A correlational study in higher education. PLoS ONE, 16(8). https://doi.org/10.1371/journal.pone.0255428

Smidt, H. (2020). United Nations Peacekeeping Locally: Enabling Conflict Resolution, Reducing Communal Violence. Journal of Conflict Resolution, 64(2), 344–372. https://doi.org/10.1177/0022002719859631

Soto-Rubio, A. (2020). Effect of emotional intelligence and psychosocial risks on burnout, job satisfaction, and nurses’ health during the covid-19 pandemic. International Journal of Environmental Research and Public Health, 17(21), 1–14. https://doi.org/10.3390/ijerph17217998

Stepanova, O. (2020). Understanding mechanisms of conflict resolution beyond collaboration: An interdisciplinary typology of knowledge types and their integration in practice. Sustainability Science, 15(1), 263–279. https://doi.org/10.1007/s11625-019-00690-z

Sun, B. (2020). Three-way decision making approach to conflict analysis and resolution using probabilistic rough set over two universes. Information Sciences, 507(Query date: 2025-01-27 14:00:41), 809–822. https://doi.org/10.1016/j.ins.2019.05.080

Trigueros, R. (2020). The influence of emotional intelligence on resilience, test anxiety, academic stress and the mediterranean diet. A study with university students. International Journal of Environmental Research and Public Health, 17(6). https://doi.org/10.3390/ijerph17062071

Wang, D. (2022). Water–Energy–Food nexus evaluation using an inverse approach of the graph model for conflict resolution based on incomplete fuzzy preferences. Applied Soft Computing, 120(Query date: 2025-01-27 14:00:41). https://doi.org/10.1016/j.asoc.2022.108703

Weyrauch, T. (2021). The Objective-Conflict-Resolution Approach: A Novel Approach for Developing Radical and Frugal Innovation. IEEE Transactions on Engineering Management, 68(3), 699–712. https://doi.org/10.1109/TEM.2020.3000924

Yilmaz, M. A. (2020). Simultaneous quantitative screening of 53 phytochemicals in 33 species of medicinal and aromatic plants: A detailed, robust and comprehensive LC–MS/MS method validation. Industrial Crops and Products, 149(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.indcrop.2020.112347

Zeng, Q. (2020). Resource Conflict Checking and Resolution Controller Design for Cross-Organization Emergency Response Processes. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(10), 3685–3700. https://doi.org/10.1109/TSMC.2019.2906335

Zhou, Y. (2020). The Stiffness-Threshold Conflict in Polymer Networks and a Resolution. Journal of Applied Mechanics, Transactions ASME, 87(3). https://doi.org/10.1115/1.4044897

Authors

Muhammad Syahrul
m.syahrulfai@umi.ac.id (Primary Contact)
Rinovian Rais
Yuli Yanti
Rusyati Prihatin
Asni Asni
Syahrul, M., Rais, R., Yanti, Y., Prihatin, R., & Asni, A. (2025). The Effect of Emotional Intelligence Counseling on Elementary School Students’ Self-Control in Facing Conflicts. International Journal of Educatio Elementaria and Psychologia, 2(1), 13–23. https://doi.org/10.70177/ijeep.v2i1.1881

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