Examining the Interaction Between Behavioral and Emotional Engagement on Cognitive Engagement: A Mediation Analysis
DOI:
https://doi.org/10.70152/leotech.v2i2.316Keywords:
Behavioral, Cognitive, Elementary school, emotional, Student engagementArticle Metrics
Abstract
This study aims to examine the effects of behavioral and emotional engagement on cognitive engagement among elementary school students using structural modeling. Data were collected from 240 students in grades 4-6 using a 15-item Likert-scale questionnaire. Confirmatory Factor Analysis (CFA) was used to test construct validity and reliability, followed by Structural Equation Modeling (SEM) to examine interdimensional relationships. The results showed that behavioral engagement had a positive effect on both emotional and cognitive engagement, while emotional engagement also positively influenced cognitive engagement. However, the effects were relatively small, and emotional engagement did not significantly mediate the relationship between behavioral and cognitive engagement. These findings emphasize the role of behavioral and emotional engagement in enhancing cognitive engagement, while suggesting that other contextual factors should also be considered. The proposed model demonstrated a good fit with the data and provides a basis for understanding student engagement in primary education.
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References
Alonso-Tapia, J., Merino-Tejedor, E., & Huertas, J. A. (2023). Academic engagement: assessment, conditions, and effects-a study in higher education from the perspective of the person-situation interaction. European Journal of Psychology of Education, 38(2), 631-655. https://doi.org/10.1007/s10212-022-00621-0
An, D., Ye, C., & Liu, S. (2024). The influence of metacognition on learning engagement the mediating effect of learning strategy and learning behavior. Current Psychology, 43(40), 31241-31253. https://doi.org/10.1007/s12144-024-06400-y
Andrade, C. (2021). The inconvenient truth about convenience and purposive samples. Indian Journal of Psychological Medicine, 43(1), 86-88. https://doi.org/10.1177/0253717620977000
Bekker, C. I., Rothmann, S., & Kloppers, M. M. (2023). The happy learner: Effects of academic boredom, burnout, and engagement. Frontiers in Psychology, 13(1), 974486. https://doi.org/10.3389/fpsyg.2022.974486
Bergdahl, N., Bond, M., Sjöberg, J., Dougherty, M., & Oxley, E. (2024). Unpacking student engagement in higher education learning analytics: a systematic review. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00493-y
Bond, M., Buntins, K., Bedenlier, S., Zawacki-richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education : a systematic evidence map. International Journal of Educational Technology in Higher Education, 17(2), 1-30. https://doi.org/10.1186/s41239-019-0176-8
Consoli, T., Schmitz, M. L., Antonietti, C., Gonon, P., Cattaneo, A., & Petko, D. (2024). Quality of technology integration matters: positive associations with students’ behavioral engagement and digital competencies for learning. In Education and Information Technologies, 30(6). Springer US. https://doi.org/10.1007/s10639-024-13118-8
Cunha, J., Martins, J., Peseta, R., & Rosário, P. (2023). A self-regulation intervention conducted by class teachers: impact on elementary students’ basic psychological needs and classroom engagement. Frontiers in Psychology, 14(2), 1220536. https://doi.org/10.3389/fpsyg.2023.1220536
David, L., & Weinstein, N. (2024). The how and how much of technology use in the classroom: A motivational approach to teachers’ technology use. European Journal of Education, 59(4), 1-15. https://doi.org/10.1111/ejed.12674
de Ruig, N. J., de Jong, P. F., & Zee, M. (2023). Stimulating Elementary School Students’ Self-Regulated Learning Through High-Quality Interactions and Relationships: A Narrative Review. Educational Psychology Review, 35(3), 1-34. https://doi.org/10.1007/s10648-023-09795-5
Dubovi, I. (2022). Cognitive and emotional engagement while learning with VR: The perspective of multimodal methodology. Computers and Education, 183(2), 104495. https://doi.org/10.1016/j.compedu.2022.104495
English, A. (2024). A practitioner’s conceptualization of student engagement. The Advocate, 29(1), 1-9. https://doi.org/10.4148/2637-4552.1189.
Gomes, S., Costa, L., Martinho, C., Dias, J., Xexéo, G., & Moura Santos, A. (2023). Modeling students’ behavioral engagement through different in-class behavior styles. International Journal of STEM Education, 10(1). https://doi.org/10.1186/s40594-023-00407-w
Gul, Y. E. (2023). a theoretical perspective on survey method from quantitative research methods. Universum: Психология и Образование, 106(4), 64-68. https://doi.org/10.32743/UniPsy.2023.106.4.15254
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R. Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-80519-7
Hair, J. F., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). In Sage (2nd ed). SAGE Publications. http://study.sagepub.com/hairprimer2e
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of pls-sem. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
Hasanov, Z., Antoniou, P., Garayev, V., & Suleymanov, E. (2021). The impact of behavioural, cognitive and emotional dimensions of student engagement on student learning: the case of Azerbaijani higher education institutions. International Journal of Knowledge and Learning, 14(1), 10. https://doi.org/10.1504/ijkl.2021.10037816
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Huang, S. Y. B., Huang, C., & Chang, T. (2022). A new concept of work engagement theory in cognitive engagement , emotional engagement , and physical engagement. Frontiers in Psychology, 12(February), 1-5. https://doi.org/10.3389/fpsyg.2021.663440
Jamain, R. R., Putro, H. Y. S., & Hidayanti, N. (2024). Studi deskriptif student engagement pada peserta didik kelas vii. Jurnal Bimbingan Dan Konseling Ar-Rahman, 10(1), 127-135. https://doi.org/10.31602/jbkr.v10i1.14743
Junianto, M., Bashori, K., & Hidayah, N. (2021). Gambaran student engagement pada siswa sma (studi kasus pada siswa man 1 Magelang). Insight : Jurnal Pemikiran Dan Penelitian Psikologi, 17(1), 47-57. https://doi.org/10.32528/ins.v17i1.3615
Kaspar, K. L., & Massey, S. L. (2022). Implementing social-emotional learning in the elementary classroom. Early Childhood Education Journal, 51(4), 641-650. https://doi.org/10.1007/s10643-022-01324-3
Khan, H., Gul, R., & Zeb, M. (2023). The effect of students’ cognitive and emotional engagement on students’ academic success and academic productivity. Journal of Social Sciences Review, 3(1), 322-334. https://doi.org/10.54183/jssr.v3i1.141
Kline, R. B. (2023). Principles and practice of structural equation modeling fifth edition. The Guidford Press. https://www.guilford.com/books/Principles-and-Practice-of-Structural-Equation-Modeling/Rex-Kline/9781462551910?utm_source
Kösterelioğlu, M., & Koyuncu, H. (2021). Investigating the effect of secondary school students’ level of school engagement and subjective well-being in school on their motivation to learn science. International Journal Society Science y Education, 11(1), 35-48. http://ijsse.com/sites/default/files/issues/2021/v11i1/IJSSEv11i1Paper-05.pdf
Mamun, M. A. Al, & Lawrie, G. (2023). Student-content interactions: Exploring behavioural engagement with self-regulated inquiry-based online learning modules. Smart Learning Environments, 10(1), 1-31. https://doi.org/10.1186/s40561-022-00221-x
Monteiro, V., Carvalho, C., & Santos, N. N. (2021). Creating a Supportive Classroom Environment Through Effective Feedback: Effects on Students’ School Identification and Behavioral Engagement. Frontiers in Education, 6(June), 1-14. https://doi.org/10.3389/feduc.2021.661736
Perry, A. M. (2022). Student engagement, no learning without it. Creative Education, 13(04), 1312-1326. https://doi.org/10.4236/ce.2022.134079
Pino, W. C., & Mongas, C. J. S. (2025). Technology integration and pupils’ cognitive engagement. International Journal of Multidisciplinary Research and Analysis, 08(4), 1833-1842. https://doi.org/10.47191/ijmra/v8-i04-39
Pradhata, D. R., & Muhid, A. (2021). Mastery goal orientation, social support dan student engagement siswa madrasah aliyah. Jurnal Penelitian Psikologi, 12(1), 18-24. https://doi.org/10.29080/jpp.v12i1.488
Reeve, J., Basarkod, G., Jang, H. R., Gargurevich, R., Jang, H., & Cheon, S. H. (2025). Specialized purpose of each type of student engagement: a meta-analysis. In Educational Psychology Review, 37(1). Springer US. https://doi.org/10.1007/s10648-025-09989-z
Salas-Pilco, S. Z., Yang, Y., & Zhang, Z. (2022). Student engagement in online learning in Latin American higher education during the COVID-19 pandemic: A systematic review. British Journal of Educational Technology, 53(3), 593-619. https://doi.org/https://doi.org/10.1111/bjet.13190
Sharif-Nia, H., Marôco, J., Rahmatpour, P., Ghahrani, N., Muhammad Ibrahim, F., Mohammad Ibrahim, M., & Kaveh, O. (2023). Psychometrics evaluation of the university student engagement inventory in online learning among Arab students. BMC Nursing, 22(1), 1-8. https://doi.org/10.1186/s12912-023-01318-5
Silveira, P. S. P., Tempski, P. Z., Mayer, F. B., Enns, S. C., Peleias, M., Martins, M. d. A., & Siqueira, J. O. (2025). Comparison between random and convenience samples in a multicenter survey to evaluate medical students’ quality of life. PLOS ONE, 20(10), 1-25. https://doi.org/10.1371/journal.pone.0332850
Sun, J., Zhang, J., & Li, H. (2020). Teacher Learning in Scaffolding Children’s Collaborative Dialogue in a Chinese Elementary School. ECNU Review of Education, 8(3), 482-507. https://doi.org/10.1177/2096531120951009
Susanti, I. N., Yuspendi, Y., & Megarini, M. Y. (2020). The effect of autonomy training on student engagement in junior high school students. Indigenous: Jurnal Ilmiah Psikologi, 5(2), 151-163. https://doi.org/10.23917/indigenous.v5i2.9149
Szabó, L., Zsolnai, A., & Fehérvári, A. (2024). The relationship between student engagement and dropout risk in early adolescence. International Journal of Educational Research Open, 6, 100328. https://doi.org/10.1016/j.ijedro.2024.100328
Tannoubi, A., Bonsaksen, T., Mørk, G., Ahmedov, F., Setiawan, E., & Azaiez, F. (2025). Engagement factors affect academic success through study approaches among physical education and sport university students: a mediation analysis. Frontiers in Education, 10(1). https://doi.org/10.3389/feduc.2025.1512557
Tawfik, A. A., Shepherd, C. E., Gatewood, J., & Gish-Lieberman, J. J. (2021). First and second order barriers to teaching in K-12 online learning. TechTrends, 65(6), 925-938. https://doi.org/10.1007/s11528-021-00648-y
Thornberg, R., Forsberg, C., Hammar Chiriac, E., & Bjereld, Y. (2022). Teacher-student relationship quality and student engagement: a sequential explanatory mixed-methods study. Research Papers in Education, 37(6), 840-859. https://doi.org/10.1080/02671522.2020.1864772
Thümmler, R., Engel, E. M., & Bartz, J. (2022). Strengthening emotional development and Emotion regulation in childhood-as a key task in early childhood education. International Journal of Environmental Research and Public Health, 19(7), 3978. https://doi.org/10.3390/ijerph19073978
Tomás, J. M., Gutiérrez, M., Alberola, S., & Georgieva, S. (2022). Psychometric properties of two major approaches to measure school engagement in university students. Current Psychology, 41(5), 2654-2667. https://doi.org/10.1007/s12144-020-00769-2
Tshering, K., Dorji, P., & Jatsho, S. (2024). Enhancing students behavioural and cognitive engagement through active learning strategies in physics. International Journal of Didactical Studies, 5(1), 1-10. https://doi.org/10.33902/ijods.202423328
Vestad, L., & Bru, E. (2023). Teachers’ support for growth mindset and its links with students’ growth mindset, academic engagement, and achievements in lower secondary school. Social Psychology of Education, 27(4), 1431-1454. https://doi.org/10.1007/s11218-023-09859-y
Vidić, T. (2024). Emotional, behavioural and cognitive engagement, self-efficacy and satisfaction of primary school students. Proceedings of The International Conference on Modern Research in Education, Teaching and Learning, 3(1), 1-12. https://doi.org/https://doi.org/10.33422/icmetl.v3i1.228
Weich, M., Richard, G., & Stalder, B. E. (2024). Subject and time specificity of students ’ cognitive , behavioral, and emotional engagement at school. Learning and Individual Differences, 114(2), 102-113. https://doi.org/10.1016/j.lindif.2024.102511
Wester, E. R., Walsh, L. L., Arango-Caro, S., & Callis-Duehl, K. L. (2021). Student engagement declines in stem undergraduates during covid-19-driven remote learning. Journal of Microbiology & Biology Education, 22(1), 1-11. https://doi.org/10.1128/jmbe.v22i1.2385
Wong, Z. Y., & Liem, G. A. D. (2022). Student engagement: current state of the construct, conceptual refinement, and future research directions. In Educational Psychology Review, 34(1), 107-138. https://doi.org/10.1007/s10648-021-09628-3
Xu, B., Stephens, J. M., & Lee, K. (2024). Assessing student engagement in collaborative learning: development and validation of new measure in China. Asia-Pacific Education Researcher, 33(2), 395-405. https://doi.org/10.1007/s40299-023-00737-x
Zepeda, C. D., & Nokes-Malach, T. J. (2021). Metacognitive study strategies in a college course and their relation to exam performance. Memory and Cognition, 49(3), 480-497. https://doi.org/https://doi.org/10.3758/s13421-020-01106-5
Zhao, J., & Qin, Y. (2021). Perceived teacher autonomy support and students’ deep learning: the mediating role of self-efficacy and the moderating role of perceived peer support. Frontiers in Psychology, 12(4), 1-11. https://doi.org/10.3389/fpsyg.2021.652796
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Copyright for this article is held by the journal LEOTECH: Journal of Learning Education and Technology and is licensed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). The article may be used, shared, and adapted for any purpose with proper attribution and distribution under the same license. Full license details: https://creativecommons.org/licenses/by-sa/4.0/
