Research trend of emotional intelligence in biology learning: A bibliometric analysis in the last ten year
Abstract
Research that explicitly examines emotional intelligence (EI) in biology learning is still limited, even though extensive evidence shows that EI supports motivation, interaction quality, and learning effectiveness, which are relevant competencies in collaborative tasks and complex biology practicums. This study analyzes research trends and opportunities related to emotional intelligence in biology learning (EIBL) through a bibliometric approach. A literature-based bibliometric analysis was conducted using 339 screened documents retrieved from the ScienceDirect (2015-2024), and the dataset was visualized using VOSviewer to map publication distribution, subject areas, publisher sources, and keyword networks. The findings indicate an increasing number of publications, dominance of empirical studies, and multidisciplinary dissemination across psychology, education, biomedicine, and social sciences. Network visualization identified five thematic clusters (research challenges, methodological approaches, educational contexts, emotional-systemic aspects, and developmental issues) reflecting broader patterns in the dataset rather than trends specific to biology learning. Overall, the dataset suggests emerging opportunities for integrating emotional intelligence into biology learning practices, while highlighting the limited number of studies explicitly situated in biology education and the need for further empirical exploration.
Abstrak. Penelitian yang secara eksplisit mengkaji kecerdasan emosional (EI) dalam pembelajaran biologi masih terbatas, meskipun bukti luas menunjukkan bahwa EI mendukung motivasi, kualitas interaksi, dan efektivitas belajar, yaitu kompetensi penting dalam tugas kolaboratif dan praktikum biologi yang kompleks. Penelitian ini menganalisis tren dan peluang penelitian emotional intelligence in biology learning (EIBL) melalui pendekatan bibliometrik. Analisis bibliometrik berbasis literatur dilakukan menggunakan 339 dokumen hasil penyaringan dari ScienceDirect (2015-2024), dan dataset ini divisualisasikan menggunakan VOSviewer untuk memetakan sebaran publikasi, subject area, sumber penerbit, serta jejaring kata kunci. Hasil analisis menunjukkan peningkatan jumlah publikasi, dominasi artikel empiris, dan penyebaran multidisipliner pada bidang psikologi, pendidikan, biomedis, dan ilmu sosial. Visualisasi jaringan mengidentifikasi lima kluster tema (tantangan penelitian, pendekatan metodologis, konteks pendidikan, aspek emosional-sistemik, dan isu perkembangan) yang mencerminkan pola umum dalam dataset, bukan tren spesifik pembelajaran biologi. Secara keseluruhan, dataset menunjukkan peluang berkembangnya integrasi kecerdasan emosional dalam praktik pembelajaran biologi, sekaligus menegaskan terbatasnya studi yang secara eksplisit berada dalam konteks biologi serta kebutuhan eksplorasi empiris lanjutan.
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Abdellaoui, B., Remaida, A., Sabri, Z., Abdellaoui, M., El Hafidy, A., El Idrissi, Y. E. B., & Moumen, A. (2024). Analyzing emotions in online classes: Unveiling insights through topic modeling, statistical analysis, and random walk techniques. International Journal of Cognitive Computing in Engineering, 5, 221-236. https://doi.org/10.1016/j.ijcce.2024.05.003
Baghcheghi, N., & Koohestani, H. R. (2022). The predictive role of tendency toward mobile learning and emotional intelligence in Internet addiction in healthcare professional students. Journal of Advances in Medical Education & Professionalism, 10(2), 113-119. https://doi.org/10.30476/JAMP.2022.91971.1465
Dzafic, M., & Ilic, M. (2024). Emotional intelligence in teaching and learning. Research in Pedagogy, 14(1), 62-73. https://doi.org/10.5937/IstrPed2401062D
Egger, M., Ley, M., & Hanke, S. (2019). Emotion recognition from physiological signal analysis: A review. Electronic Notes in Theoretical Computer Science, 343, 35-55. https://doi.org/10.1016/j.entcs.2019.04.009
Fajeriadi, H., Fahmi, F., Dharmono, D., Zaini, M., Putra, A. P., Suyidno, S., ... & Saifuddin, M. F. (2024). The role of estuarine wetland in carbon storage for climate change mitigation: A bibliometric analysis. In BIO Web of Conferences (Vol. 148, p. 02024). EDP Sciences. https://doi.org/10.1051/bioconf/202414802024
Fernandez-Perez, V., & Martin-Rojas, R. (2022). Emotional competencies as drivers of management students’ academic performance: The moderating effects of cooperative learning. The International Journal of Management Education, 20(1), 100600. https://doi.org/10.1016/j.ijme.2022.100600
Gurung, J., Pandey, V., Mukherjee, S. K., Saha, S. K., Singh, A., & Jha, A. (2022). A bibliometric analysis on the relationship between emotional intelligence, self-management and health information seeking. In Machine Learning in Information and Communication Technology: Proceedings of ICICT 2021, SMIT (pp. 77-87). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-5090-2_7
Hasibuan, R., & Irwandi, I. (2024). Correlation between emotional intelligence and students’ achievement in learning English. JADEs Journal of Academia in English Education, 5(1), 74-90. https://doi.org/10.32505/jades.v5i1.7638
Hizqiyah, I. Y. N., Nurkanti, M., Putra, A., Syifa, N., Yanti, M., & Nurdiani, N. (2023). Analysis of computer-based teaching materials in biology learning using bibliometric tools (application of the SLNA method). Jurnal Mangifera Edu, 7(2), 135-144. https://doi.org/10.31943/mangiferaedu.v7i2.156
Jose, S., Rajan, J., & Wilson, V. H. (2020). Nurturing engineering skills and talents, a disruptive methodology in engineering education. Procedia Computer Science, 172, 568-572. https://doi.org/10.1016/j.procs.2020.05.069
Kaur, N., & Hirudayaraj, M. (2021). The role of leader emotional intelligence in organizational learning: A literature review using 4I framework. New Horizons in Adult Education and Human Resource Development, 33(1), 51-68. https://doi.org/10.1002/nha3.20305
Kusmahardhika, N., Mahanal, S., Balqis, B., Faridha, H.A., & Ramadhan, B.H. (2024). Research trends in the development of biology learning media in Indonesia: A bibliometric analysis. Jurnal Eksakta Pendidikan (JEP), 8(1), 1-12. https://doi.org/10.24036/jep/vol8-iss1/873
Lei, Y. (2024). Unlocking the secrets of STEM success: Exploring the interplay of motivation to learn science, self-regulation, and emotional intelligence from a perspective of self-determination theory. Learning and Motivation, 87, 102012. https://doi.org/10.1016/j.lmot.2024.102012
Li, C., Huang, J., & Li, B. (2021). The predictive effects of classroom environment and trait emotional intelligence on foreign language enjoyment and anxiety. System, 96, 102393. https://doi.org/10.1016/j.system.2020.102393
Liang, J. (2024). Developing emotional intelligence in a static and interactive music learning environment. Frontiers in Psychology, 15, 1279530. https://doi.org/10.3389/fpsyg.2024.1279530
Longhini, J., Ambrosi, E., Filippi, M., Evilio, L., & Canzan, F. (2024). How do undergraduate nursing students learn to care for families and informal caregivers? A qualitative study with a grounded theory approach. Nurse Education Today, 141, 106332. https://doi.org/10.1016/j.nedt.2024.106332
Manjarres, M. T., Duarte, D. P. M., Navarro-Obeid, J., Álvarez, M. L. V., Martinez, I., Cudris-Torres, L., ... & Bermúdez, V. (2023). A bibliometric analysis and literature review on emotional skills. Frontiers in Psychology, 14, 1040110. https://doi.org/10.3389/fpsyg.2023.1040110
Misliyanti, W., Nurhayati, B., & Taiyeb, A. M. (2024). Correlation of learning motivation and emotional intelligence with student higher order thinking skills level on biology material. BIO-INOVED: Jurnal Biologi-Inovasi Pendidikan, 6(2), 172-178. http://dx.doi.org/10.20527/bino.v6i2.19068
Mustofa, R. F., Rachmawati, M., & Nuryadin, E. (2022). Relationship between emotional intelligence and self-regulated learning of students in biology subjects. International Journal for Educational and Vocational Studies, 4(1), 64-69. https://doi.org/10.29103/ijevs.v4i1.6819
Napolitano, F., Calzolari, M., Pagnucci, N., Zanini, M., Catania, G., Aleo, G., ... & Bagnasco, A. (2023). The effectiveness of learning strategies for the development of emotional intelligence in undergraduate nursing students: A systematic review protocol. Nurse education in practice, 72, 103797. https://doi.org/10.1016/j.nepr.2023.103797
Ojha, M., Archana, A., Mishra, A. K., Kumari, J., & Kandpal, V. (2024). Role of artificial intelligence in working with emotional intelligence in leadership: A bibliometric analysis. In E3S Web of Conferences (Vol. 556, p. 01035). EDP Sciences. https://doi.org/10.1051/e3sconf/202455601035
Pratama, A. T., & Corebima, A. D. (2016). Contributions emotional intelligence on cognitive learning result of biology of senior high school students in Medan, Indonesia. International Journal of Environmental and Science Education, 11(15), 8077-8087. Retrieved from https://eric.ed.gov/?id=EJ1118245
Saifi, A. G., Khlaif, Z. N., & Affouneh, S. (2024). The effect of using community-based learning program in science students' achievement according to Kolb's learning styles. Social Sciences & Humanities Open, 10, 101125. https://doi.org/10.1016/j.ssaho.2024.101125
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, cognition and personality, 9(3), 185-211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG
Samsonovich, A. V., & Eidlin, A. A. (2021). A proposal for modeling cognitive ontogeny based on the brain-inspired generic framework for social-emotional intelligent actors. Procedia Computer Science, 186, 449-455. https://doi.org/10.1016/j.procs.2021.04.165
Srimaharaj, W., Chaising, S., Sittiprapaporn, P., Temdee, P., & Chaisricharoen, R. (2020). Effective method for identifying student learning ability during classroom focused on cognitive performance. Wireless Personal Communications, 115, 2933-2950. https://doi.org/10.1007/s11277-020-07197-2
Tang, Y., & He, W. (2023). Relationship between emotional intelligence and learning motivation among college students during the COVID-19 pandemic: A serial mediation model. Frontiers in Psychology, 14, 1109569. https://doi.org/10.3389/fpsyg.2023.1109569
Tavakoli, S., Zamani, A. A., & Khajehoddin, A. (2024). Efficient load frequency control in multi-source interconnected power systems using an innovative intelligent control framework. Energy Reports, 11, 2805-2817. https://doi.org/10.1016/j.egyr.2024.02.037
Törmänen, T., Järvenoja, H., Saqr, M., Malmberg, J., & Järvelä, S. (2022, June). A person-centered approach to study students’ socio-emotional interaction profiles and regulation of collaborative learning. In Frontiers in Education (Vol. 7, p. 866612). Frontiers Media SA. https://doi.org/10.3389/feduc.2022.866612
Tsarkov, V. S., Enikeev, V. A., & Samsonovich, A. V. (2021). Toward a socially acceptable model of emotional artificial intelligence. Procedia Computer Science, 190, 771-788. https://doi.org/10.1016/j.procs.2021.06.090
Wilsa, A. W., Sutikno, S., Indriyanti, D. R., & Jaja, J. (2023). Bibliometric analysis: Augmented reality research trends in Indonesia in biology learning. Jurnal Penelitian Pendidikan IPA, 9(4), 1937-1947. https://doi.org/10.29303/jppipa.v9i4.2562
Yang, R., Porter, A. C., Massey, C. M., Merlino, J. F., & Desimone, L. M. (2020). Curriculum‐based teacher professional development in middle school science: A comparison of training focused on cognitive science principles versus content knowledge. Journal of Research in Science Teaching, 57(4), 536-566. https://doi.org/10.1002/tea.21605
Yuliani, Y., Ardianto, D., & Retnowati, R. (2022). Mapping research on multimedia biology: A bibliometric analysis. International Journal of Biology Education Towards Sustainable Development, 2(1), 12-22. https://doi.org/10.53889/ijbetsd.v2i1.117
DOI: https://doi.org/10.20527/bioco.v2i2.17381
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