PERFORMING ARTS AND EMOTIONAL INTELLIGENCE DEVELOPMENT
DOI:
https://doi.org/10.29121/shodhkosh.v7.i3s.2026.7321Keywords:
Performing Arts, Emotional Intelligence, Arts Education, Emotional Development, Drama Therapy, Music Therapy, Empathy Development, Creative LearningAbstract [English]
Emotional intelligence has been a very crucial competency in the development of interpersonal communication, social interaction, and psychological health in the contemporary society. Emotional intelligence can be developed through creative disciplines like music, dance and theatre, which offer strong platforms of emotional expression and experiential learning, and performing arts offer a promising avenue of emotional intelligence development. This paper explores the links between the involvement in performing arts and the growth of emotional intelligence through the theoretical bases, the practice in education, therapeutic implications, and empirically measured by arts-based programs. Performing arts activities involve participants in emotional interpretation, collective performance, and expression of communication and this helps in the improvement of emotional awareness, empathy, and emotional control. Case-based analysis shows quantifiable change in emotional intelligence measures of the participants who have already participated in performing arts programs. The results indicate that the organized participation in performing arts facilitates emotionally oriented learning, through encouragement of self-reflection, socialization and expression of emotions in conducive creative settings. Performing arts can be used by educational institutions and community organizations as useful tools to develop emotionally intelligent individuals with the capability to empathize, collaborate, and develop resilience to emotions. The study cites the need to incorporate arts based practices in the education and development models to enhance comprehensive human development and societal welfare.
References
Ahmad, S., Rahmat, M., Mubarik, M., Alam, M., and Hyder, S. (2021). Artificial Intelligence and its Role in Education. Sustainability, 13, Article 12902. https://doi.org/10.3390/su132212902 DOI: https://doi.org/10.3390/su132212902
Chaharbashloo, H., Gholami, K., Aliasgari, M., Talebzadeh, H., and Mousapour, N. (2020). Analytical Reflection on Teachers’ Practical Knowledge: A Case Study of Exemplary Teachers in an Educational Reform Context. Teaching and Teacher Education, 87, Article 102931. https://doi.org/10.1016/j.tate.2019.102931 DOI: https://doi.org/10.1016/j.tate.2019.102931
Chen, S., Lin, P., and Chien, W. (2022). Children’s Digital Art Ability Training System Based on AI-Assisted Learning: A Case Study of Drawing Color Perception. Frontiers in Psychology, 13, Article 102931. https://doi.org/10.3389/fpsyg.2022.823078 DOI: https://doi.org/10.3389/fpsyg.2022.823078
Cong, S. (2024). A Study of Teaching Strategies Optimized with the Integration of Artificial Intelligence Technologies. Applied Mathematics and Nonlinear Sciences, 9, 1195. https://doi.org/10.2478/amns-2024-1195 DOI: https://doi.org/10.2478/amns-2024-1195
Dai, Y., Liu, A., Qin, J., Guo, Y., Jong, M., Chai, C., and Lin, Z. (2022). Collaborative Construction of Artificial Intelligence Curriculum in Primary Schools. Journal of Engineering Education, 112, 23–42. https://doi.org/10.1002/jee.20503 DOI: https://doi.org/10.1002/jee.20503
Dingankar, S., Dixit, R., Jadhav, K. D., Bathla, G., Rane, M. E., and Raina, A. (2025). Synthesizing Best Practice Frameworks for Enhancing Financial Literacy Support in Microenterprise Lending. Enterprise Development and Microfinance, 35(1), 263–282. https://doi.org/10.3362/edm.v35i1.21 DOI: https://doi.org/10.3362/1755-1986.25-00015
Engelsrud, G., Rugseth, G., and Nordtug, B. (2021). Taking Time for New Ideas: Learning Qualitative Research Methods in Higher Sports Education. Sport, Education and Society, 28, 239–252. https://doi.org/10.1080/13573322.2021.2014804 DOI: https://doi.org/10.1080/13573322.2021.2014804
Ezquerra, Á., Agen, F., Rodríguez-Arteche, I., and Ezquerra-Romano, I. (2022). Integrating Artificial Intelligence into Research on Emotions and Behaviors in Science Education. Eurasia Journal of Mathematics, Science and Technology Education, 18, Article 11927. https://doi.org/10.29333/ejmste/11927 DOI: https://doi.org/10.29333/ejmste/11927
Freedman, K., Cornwall, J., Schulte, C., Carpenter, B., and Castro, J. (2022). Mapping Research with a Systematic Review: The Example of Social and Emotional Learning in Art Education. Studies in Art Education, 63, 296–312. https://doi.org/10.1080/00393541.2022.2116679 DOI: https://doi.org/10.1080/00393541.2022.2116679
Hazarika, I., Cai, Z., Ghunnar, P., and Cheng, Y. (2025). Cross-Cultural Advertising for Promoting Gender Equality and Diversity (SDG 5 and 10). Lex Localis: Journal of Local Self-Government, 23(S6), 7520. https://doi.org/10.52152/tmw9y075 DOI: https://doi.org/10.52152/tmw9y075
Hoque, et al. (2025). AI-Generated Visual Art Raises Critical Ethical Concerns in Academia Related to Authorship, Creativity, Intellectual Property, and Academic Integrity, Calling for Transparent and Responsible Integration of AI Tools in Educational Practice. (Incomplete Reference Details—Please Provide Full Source for Accurate APA formatting.)
Karule, K. P., Sapkal, V., Mirajkar, G., Babajanov, M., Tajne, P., Ahire, L. K., and Qushnazarova, U. (2025). Leveraging Transfer Learning Techniques for Automated Tuberculosis Classification on Chest X-Ray. Indian Journal of Tuberculosis, 72, S512–S530. https://doi.org/10.1016/j.ijtb.2025.11.015 DOI: https://doi.org/10.1016/j.ijtb.2025.11.015
Lee, H., and Lee, M. (2021). Visual Art Education and Social-Emotional Learning of Students in Rural Kenya. International Journal of Educational Research, 108, Article 101781. https://doi.org/10.1016/j.ijer.2021.101781 DOI: https://doi.org/10.1016/j.ijer.2021.101781
Lundberg, A., De Leeuw, R., and Aliani, R. (2020). Using Q Methodology: Sorting Out Subjectivity in Educational Research. Educational Research Review, 31, Article 100361. https://doi.org/10.1016/j.edurev.2020.100361 DOI: https://doi.org/10.1016/j.edurev.2020.100361
McStay, A. (2020). Emotional AI and EdTech: Serving the Public Good? Learning, Media and Technology, 45, 270–283. https://doi.org/10.1080/17439884.2020.1686016 DOI: https://doi.org/10.1080/17439884.2020.1686016
More, S. S., and Birmule, P. R. (2025). Technology-Based Scheduling and Event Management in Sports. International Journal of Research and Development in Management Research, 14(1), 50–54. https://doi.org/10.65521/ijrdmr.v14i1.288 DOI: https://doi.org/10.65521/ijrdmr.v14i1.288
Rawandale, U. S., and Kolte, M. T. (2019). Study of Audiogram for Speech Processing in Hearing Aid System. In 2019 IEEE Pune Section International Conference (PuneCon) (1–4). https://doi.org/10.1109/PuneCon46936.2019.9105706 DOI: https://doi.org/10.1109/PuneCon46936.2019.9105706
Rizzuto, T., Cordeiro, K., and Roda, A. (2022). The Lost Art: Teachers’ Perceptions of the Connections Between the Arts and Social-Emotional Learning. Arts Education Policy Review, 125, 150–162. https://doi.org/10.1080/10632913.2022.2053919 DOI: https://doi.org/10.1080/10632913.2022.2053919
Seo, K., Tang, J., Roll, I., Fels, S., and Yoon, D. (2021). The Impact of Artificial Intelligence on Learner–Instructor Interaction in Online Learning. International Journal of Educational Technology in Higher Education, 18, Article 54. https://doi.org/10.1186/s41239-021-00292-9 DOI: https://doi.org/10.1186/s41239-021-00292-9
Vaidya, C., Chopade, S., Khobragade, P., Bhure, K., and Parate, A. (2025). Development of a Face Recognition-Based Attendance System. In 2025 12th International Conference on Emerging Trends in Engineering and Technology – Signal and Information Processing (ICETET-SIP) (1–6). https://doi.org/10.1109/ICETETSIP64213.2025.11156883 DOI: https://doi.org/10.1109/ICETETSIP64213.2025.11156883
Venkata, S. B., Wong, C. H., Karwande, V. S., Divyaraj, G., Singh, S., and Patil, R. V. (2025). Metaheuristic-tuned Gramnet Architecture for Enhanced Video-Based Anomaly Detection Using UCF50 Dataset. In International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3 2025). https://doi.org/10.1109/ISAC364032.2025.11156508 DOI: https://doi.org/10.1109/ISAC364032.2025.11156508
Vistorte, A., Deroncele-Acosta, A., Ayala, J., Barrasa, A., López-Granero, C., and Martí-González, M. (2024). Integrating Artificial Intelligence to Assess Emotions in Learning Environments: A Systematic Literature Review. Frontiers in Psychology, 15, Article 1387089. https://doi.org/10.3389/fpsyg.2024.1387089 DOI: https://doi.org/10.3389/fpsyg.2024.1387089
Zhoc, K., King, R., Chung, T., and Chen, J. (2020). Emotionally Intelligent Students are More Engaged and Successful: Examining the Role of Emotional Intelligence in Higher Education. European Journal of Psychology of Education, 35, 839–863. https://doi.org/10.1007/s10212-019-00458-0 DOI: https://doi.org/10.1007/s10212-019-00458-0
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Copyright (c) 2026 Damodaran B, Monisha J, Shanthi V, Abhinaya B, Mohana Thiruchenduran, Yu Yang

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