The role of emotion regulation in predicting emotional engagement mediated by meta-emotion in online learning environments: a two-stage SEM-ANN approach

References

• Alemayehu, L., & Chen, H. L. (2021). The influence of motivation on learning engagement: The mediating role of learning self-efficacy and self-monitoring in online learning environments. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2021.1977962
   Web of Science ®Google Scholar
• Alwosheel, A., van Cranenburgh, S., & Chorus, C. G. (2018). Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis. Journal of Choice Modelling, 28, 167–182. https://doi.org/10.1016/j.jocm.2018.07.002
   Web of Science ®Google Scholar
• Bermejo-Martins, E., Luis, E. O., Fernández-Berrocal, P., Martínez, M., & Sarrionandia, A. (2021). The role of emotional intelligence and self-care in the stress perception during COVID-19 outbreak: An intercultural moderated mediation analysis. Personality and Individual Differences, 177, 110679. https://doi.org/10.1016/j.paid.2021.110679
   PubMed Web of Science ®Google Scholar
• Blasco-Belled, A., Rogoza, R., Torrelles-Nadal, C., & Alsinet, C. (2020). Emotional intelligence structure and its relationship with life satisfaction and happiness: New findings from the bifactor model. Journal of Happiness Studies, 21(6), 2031–2049. https://doi.org/10.1007/s10902-019-00167-x
   Web of Science ®Google Scholar
• Butler, R. M., Boden, M. T., Olino, T. M., Morrison, A. S., Goldin, P. R., Gross, J. J., & Heimberg, R. G. (2018). Emotional clarity and attention to emotions in cognitive behavioral group therapy and mindfulness-based stress reduction for social anxiety disorder. Journal of Anxiety Disorders, 55, 31–38. https://doi.org/10.1016/j.janxdis.2018.03.003
   PubMed Web of Science ®Google Scholar
• Chiu, T. K. F. (2022). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(sup1), S14–S30. https://doi.org/10.1080/15391523.2021.1891998
   Web of Science ®Google Scholar
• Cho, M. H., & Cho, Y. (2014). Instructor scaffolding for interaction and students’ academic engagement in online learning: Mediating role of perceived online class goal structures. The Internet and Higher Education, 21, 25–30. https://doi.org/10.1016/j.iheduc.2013.10.008
   Web of Science ®Google Scholar
• Chong, W. H., Liem, G. A. D., Huan, V. S., Kit, P. L., & Ang, R. P. (2018). Student perceptions of self-efficacy and teacher support for learning in fostering youth competencies: Roles of affective and cognitive engagement. Journal of Adolescence, 68(1), 1–11. https://doi.org/10.1016/j.adolescence.2018.07.002
   PubMedGoogle Scholar
• Cobos-Sánchez, L., Flujas-Contreras, J. M., & Becerra, I. G. (2022). Relation between psychological flexibility, emotional intelligence and emotion regulation in adolescence. Current Psychology, 41, 5434–5443. https://doi.org/10.1007/s12144-020-01067-7
   Web of Science ®Google Scholar
• De Neve, D., Bronstein, M. V., Leroy, A., Truyts, A., & Everaert, J. (2023). Emotion regulation in the classroom: A network approach to model relations among emotion regulation difficulties, engagement to learn, and relationships with peers and teachers. Journal of Youth and Adolescence, 52(2), 273–286. https://doi.org/10.1007/s10964-022-01678-2
   PubMed Web of Science ®Google Scholar
• Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits : Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
   Web of Science ®Google Scholar
• Dubovi, I. (2022). Cognitive and emotional engagement while learning with VR: The perspective of multimodal methodology. Computers & Education, 183, 104495. https://doi.org/10.1016/j.compedu.2022.104495
   Web of Science ®Google Scholar
• Durón-Ramos, M. F., Mojica-Gómez, P. A., Villamizar-Gomez, K., & Chacón-Andrade, E. R. (2020). Impact of positive personal traits on university student engagement in Mexico, Colombia, and El Salvador. Frontiers in Education, 5, 12. https://doi.org/10.3389/feduc.2020.00012
   Google Scholar
• Elffers, L., Oort, F. J., & Karsten, S. (2012). Making the connection: The role of social and academic school experiences in students’ emotional engagement with school in post-secondary vocational education. Learning and Individual Differences, 22(2), 242–250. https://doi.org/10.1016/j.lindif.2011.08.005
   Web of Science ®Google Scholar
• Extremera, N., Durán, A., & Rey, L. (2007). Perceived emotional intelligence and dispositional optimism-pessimism: Analyzing their role in predicting psychological adjustment among adolescents. Personality and Individual Differences, 42(6), 1069–1079. https://doi.org/10.1016/j.paid.2006.09.014
   Web of Science ®Google Scholar
• Extremera, N., Ruiz-Aranda, D., Pineda-Galán, C., & Salguero, J. M. (2011). Emotional intelligence and its relation with hedonic and eudaimonic well-being: A prospective study. Personality and Individual Differences, 51(1), 11–16. https://doi.org/10.1016/j.paid.2011.02.029
   Web of Science ®Google Scholar
• Fernández-Berrocal, P., Extremera, N., & Ramos, N. (2004). Validity and reliability of the Spanish modified version of the trait meta-mood scale. Psychological Reports, 94(3), 751–755. https://doi.org/10.2466/pr0.94.3.751-755
   PubMed Web of Science ®Google Scholar
• Fernández-Toro, M., & Hurd, S. (2014). A model of factors affecting independent learners’ engagement with feedback on language learning tasks. Distance Education, 35(1), 106–125. https://doi.org/10.1080/01587919.2014.891434
   Web of Science ®Google Scholar
• Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
   Web of Science ®Google Scholar
• Gross, J. J. (2015). Emotion regulation: Current status and future prospects. Psychological Inquiry, 26(1), 1–26. https://doi.org/10.1080/1047840X.2014.940781
   Web of Science ®Google Scholar
• Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2), 348–362. https://doi.org/10.1037/0022-3514.85.2.348
   PubMed Web of Science ®Google Scholar
• Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Hew, J. J., Leong, L. Y., Tan, G. W. H., Lee, V. H., & Ooi, K. B. (2018). Mobile social tourism shopping: A dual-stage analysis of a multi-mediation model. Tourism Management, 66, 121–139. https://doi.org/10.1016/j.tourman.2017.10.005
   Web of Science ®Google Scholar
• Hodzic, S., Ripoll, P., Costa, H., & Zenasni, F. (2016). Are emotionally intelligent students more resilient to stress? The moderating effect of emotional attention, clarity and repair. Behavioral Psychology, 24(2), 253–272.
   Google Scholar
• Hoffmann, J. D., Brackett, M. A., Bailey, C. S., & Willner, C. J. (2020). Teaching emotion regulation in schools: Translating research into practice with the RULER approach to social and emotional learning. Emotion, 20(1), 105–109. https://doi.org/10.1037/emo0000649
   PubMed Web of Science ®Google Scholar
• Hong, W., Zhen, R., Liu, R. D., Wang, M. T., Ding, Y., & Wang, J. (2020). The longitudinal linkages among Chinese children’s behavioural, cognitive, and emotional engagement within a mathematics context. Educational Psychology, 40(6), 666–680. https://doi.org/10.1080/01443410.2020.1719981
   Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
   Web of Science ®Google Scholar
• Jain, A. K., Mao, J., & Mohiuddin, K. M. (1996). Artificial neural networks: A tutorial. Computer, 29(3), 31–44. https://doi.org/10.1109/2.485891
   Web of Science ®Google Scholar
• Jessar, A. J., Hamilton, J. L., Flynn, M., Abramson, L. Y., & Alloy, L. B. (2017). Emotional clarity as a mechanism linking emotional neglect and depressive symptoms during early adolescence. The Journal of Early Adolescence, 37(3), 414–432. https://doi.org/10.1177/0272431615609157
   PubMed Web of Science ®Google Scholar
• Karagiannopoulou, E., Desatnik, A., Rentzios, C., & Ntritsos, G. (2022). The exploration of a ‘model’ for understanding the contribution of emotion regulation to students learning. The role of academic emotions and sense of coherence. Current Psychology. Advance online publication. https://doi.org/10.1007/s12144-022-03722-7
   Web of Science ®Google Scholar
• Karagiannopoulou, E., Milienos, F. S., Kamtsios, S., & Rentzios, C. (2020). Do defence styles and approaches to learning ‘fit together’ in students’ profiles? Differences between years of study. Educational Psychology, 40(5), 570–591. https://doi.org/10.1080/01443410.2019.1600661
   Web of Science ®Google Scholar
• Karagiannopoulou, E., Milienos, F. S., & Rentzios, C. (2022). Grouping learning approaches and emotional factors to predict students’ academic progress. International Journal of School & Educational Psychology, 10(2), 258–275. https://doi.org/10.1080/21683603.2020.1832941
   Google Scholar
• Koval, P., Kalokerinos, E. K., Greenaway, K. H., Medland, H., Kuppens, P., Nezlek, J. B., Hinton, J. D. X., & Gross, J. J. (2023). Emotion regulation in everyday life: Mapping global self-reports to daily processes. Emotion, 23(2), 357–374. https://doi.org/10.1037/emo0001097
   PubMed Web of Science ®Google Scholar
• Kwon, K., Kupzyk, K., & Benton, A. (2018). Negative emotionality, emotion regulation, and achievement: Cross-lagged relations and mediation of academic engagement. Learning and Individual Differences, 67, 33–40. https://doi.org/10.1016/j.lindif.2018.07.004
   Web of Science ®Google Scholar
• Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727X.2015.1005806
   Web of Science ®Google Scholar
• Leong, L. Y., Hew, T. S., Ooi, K. B., & Chong, A. Y. L. (2020). Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach. Journal of Business Research, 110, 24–40. https://doi.org/10.1016/j.jbusres.2019.11.056
   Web of Science ®Google Scholar
• Leong, L. Y., Hew, T. S., Ooi, K. B., & Wei, J. (2020). Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach. International Journal of Information Management, 51, 102047. https://doi.org/10.1016/j.ijinfomgt.2019.102047
   Web of Science ®Google Scholar
• Lively, K. J., & Weed, E. A. (2014). Emotion management: Sociological insight into what, how, why, and to what end? Emotion Review, 6(3), 202–207. https://doi.org/10.1177/1754073914522864
   Web of Science ®Google Scholar
• Luan, L., Hong, J. C., Cao, M., Dong, Y., & Hou, X. (2023). Exploring the role of online EFL learners’ perceived social support in their learning engagement: A structural equation model. Interactive Learning Environments, 31(3), 1703–1714. https://doi.org/10.1080/10494820.2020.1855211
   Web of Science ®Google Scholar
• Mansell, W., Barnes, A., Grant, L., & De Sousa, L. M. (2022). Do meta-emotion strategies and their effects vary in students between their family home and their university home? Current Psychology, 41, 4920–4930. https://doi.org/10.1007/s12144-020-00996-7
   Web of Science ®Google Scholar
• Martin, D. P., & Rimm-Kaufman, S. E. (2015). Do student self-efficacy and teacher-student interaction quality contribute to emotional and social engagement in fifth grade math? Journal of School Psychology, 53(5), 359–373. https://doi.org/10.1016/j.jsp.2015.07.001
   PubMed Web of Science ®Google Scholar
• Martínez-Monteagudo, M. C., Inglés, C. J., Suriá, R., Lagos, N., Delgado, B., & García-Fernández, J. M. (2021). Emotional intelligence profiles and self-concept in Chilean adolescents. Current Psychology, 40, 3860–3867. https://doi.org/10.1007/s12144-019-00350-6
   Web of Science ®Google Scholar
• Montes-Berges, B., & Augusto, J. M. (2007). Exploring the relationship between perceived emotional intelligence, coping, social support and mental health in nursing students. Journal of Psychiatric and Mental Health Nursing, 14(2), 163–171. https://doi.org/10.1111/j.1365-2850.2007.01059.x
   PubMed Web of Science ®Google Scholar
• Moraitou, D., & Metallidou, P. (2021). Trends and prospects in metacognition research across the life span. Springer International Publishing. https://doi.org/10.1007/978-3-030-51673-4
   Google Scholar
• Müller, N. M., & Seufert, T. (2018). Effects of self-regulation prompts in hypermedia learning on learning performance and self-efficacy. Learning and Instruction, 58, 1–11. https://doi.org/10.1016/j.learninstruc.2018.04.011
   Web of Science ®Google Scholar
• Naragon-Gainey, K., McMahon, T. P., & Chacko, T. P. (2017). The structure of common emotion regulation strategies: A meta-analytic examination. Psychological Bulletin, 143(4), 384–427. https://doi.org/10.1037/bul0000093
   PubMed Web of Science ®Google Scholar
• Ninaus, M., Greipl, S., Kiili, K., Lindstedt, A., Huber, S., Klein, E., Karnath, H. O., & Moeller, K. (2019). Increased emotional engagement in game-based learning – A machine learning approach on facial emotion detection data. Computers & Education, 142, 103641. https://doi.org/10.1016/j.compedu.2019.103641
   Web of Science ®Google Scholar
• Opdenakker, M. C., & Minnaert, A. (2011). Relationship between learning environment characteristics and academic engagement. Psychological Reports, 109(1), 259–284. https://doi.org/10.2466/09.10.11.PR0.109.4.259-284
   PubMed Web of Science ®Google Scholar
• Palmer, B., Gignac, G., Bates, T., & Stough, C. (2003). Examining the structure of the trait meta-mood scale. Australian Journal of Psychology, 55(3), 154–158. https://doi.org/10.1080/0004953042000298612
   Web of Science ®Google Scholar
• Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341. https://doi.org/10.1007/s10648-006-9029-9
   Web of Science ®Google Scholar
• Pekrun, R. (2019). Inquiry on emotions in higher education: Progress and open problems. Studies in Higher Education, 44(10), 1806–1811. https://doi.org/10.1080/03075079.2019.1665335
   Web of Science ®Google Scholar
• Pekrun, R., Elliot, A. J., & Maier, M. A. (2009). Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. Journal of Educational Psychology, 101(1), 115–135. https://doi.org/10.1037/a0013383
   Web of Science ®Google Scholar
• Rahimi, S., & Vallerand, R. J. (2021). The role of passion and emotions in academic procrastination during a pandemic (COVID-19). Personality and Individual Differences, 179, 110852. https://doi.org/10.1016/j.paid.2021.110852
   Web of Science ®Google Scholar
• Reeve, J., Cheon, S. H., & Jang, H. (2020). How and why students make academic progress: Reconceptualizing the student engagement construct to increase its explanatory power. Contemporary Educational Psychology, 62, 101899. https://doi.org/10.1016/j.cedpsych.2020.101899
   Web of Science ®Google Scholar
• Reparaz, C., Aznárez-Sanado, M., & Mendoza, G. (2020). Self-regulation of learning and MOOC retention. Computers in Human Behavior, 111, 106423. https://doi.org/10.1016/j.chb.2020.106423
   Web of Science ®Google Scholar
• Rey, L., Extremera, N., & Pena, M. (2011). Perceived emotional intelligence, self-esteem and life satisfaction in adolescents. Psychosocial Intervention, 20(2), 227–234. https://doi.org/10.5093/in2011v20n2a10
   Google Scholar
• Ruvalcaba-Romero, N. A., Fernández-Berrocal, P., Salazar-Estrada, J. G., & Gallegos-Guajardo, J. (2017). Positive emotions, self-esteem, interpersonal relationships and social support as mediators between emotional intelligence and life satisfaction. Journal of Behavior, Health & Social Issues, 9(1), 1–6. https://doi.org/10.1016/j.jbhsi.2017.08.001
   Google Scholar
• 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 : Journal of the Council for Educational Technology, 53(3), 593–619. https://doi.org/10.1111/bjet.13190
   PubMed Web of Science ®Google Scholar
• Salovey, P., Mayer, J. D., Goldman, S. L., Turvey, C., & Palfai, T. P. (1995). Emotional attention, clarity, and repair: Exploring emotional intelligence using the trait meta-mood scale. In J. W. Pennebaker (Ed.), Emotion, disclosure, & health. (pp. 125–154). American Psychological Association. https://doi.org/10.1037/10182-006
   Google Scholar
• Santos, A. C., Simões, C., Cefai, C., Freitas, E., & Arriaga, P. (2021). Emotion regulation and student engagement: Age and gender differences during adolescence. International Journal of Educational Research, 109, 101830. https://doi.org/10.1016/j.ijer.2021.101830
   Web of Science ®Google Scholar
• Schunk, D. H., & Greene, J. A. (2017). Historical, contemporary, and future perspectives on self-regulated learning and performance. In D. H. Schunk & J. A. Greene(Eds.), Handbook of self-regulation of learning and performance. (pp. 1–15). Taylor & Francis Group.
   Google Scholar
• Sharma, A., Dwivedi, Y. K., Arya, V., & Siddiqui, M. Q. (2021). Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach. Computers in Human Behavior, 124, 106919. https://doi.org/10.1016/j.chb.2021.106919
   Web of Science ®Google Scholar
• Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204. https://doi.org/10.1111/j.1467-8535.2010.01157.x
   Web of Science ®Google Scholar
• Teixeira, R. J., Brandão, T., & Dores, A. R. (2022). Academic stress, coping, emotion regulation, affect and psychosomatic symptoms in higher education. Current Psychology, 41, 7618–7627. https://doi.org/10.1007/s12144-020-01304-z
   Web of Science ®Google Scholar
• Thomas, C. L., & Allen, K. (2021). Driving engagement: Investigating the influence of emotional intelligence and academic buoyancy on student engagement. Journal of Further and Higher Education, 45(1), 107–119. https://doi.org/10.1080/0309877X.2020.1741520
   Web of Science ®Google Scholar
• Urquijo, I., Extremera, N., & Villa, A. (2016). Emotional intelligence, life satisfaction, and psychological well-being in graduates: The mediating effect of perceived stress. Applied Research in Quality of Life, 11(4), 1241–1252. https://doi.org/10.1007/s11482-015-9432-9
   Web of Science ®Google Scholar
• Vergara, A. I., Alonso-Alberca, N., San-Juan, C., Aldás, J., & Vozmediano, L. (2015). Be water: Direct and indirect relations between perceived emotional intelligence and subjective well-being. Australian Journal of Psychology, 67(1), 47–54. https://doi.org/10.1111/ajpy.12065
   Web of Science ®Google Scholar
• Wang, M. T., Chow, A., Hofkens, T., & Salmela-Aro, K. (2015). The trajectories of student emotional engagement and school burnout with academic and psychological development: Findings from Finnish adolescents. Learning and Instruction, 36, 57–65. https://doi.org/10.1016/j.learninstruc.2014.11.004
   Web of Science ®Google Scholar
• Waterschoot, J., Morbée, S., Vermote, B., Brenning, K., Flamant, N., Vansteenkiste, M., & Soenens, B. (2022). Emotion regulation in times of COVID-19: A person-centered approach based on self-determination theory. Current Psychology. Advance online publication. https://doi.org/10.1007/s12144-021-02623-5
   PubMed Web of Science ®Google Scholar
• Webster, E. A., & Hadwin, A. F. (2015). Emotions and emotion regulation in undergraduate studying: Examining students’ reports from a self-regulated learning perspective. Educational Psychology, 35(7), 794–818. https://doi.org/10.1080/01443410.2014.895292
   Web of Science ®Google Scholar
• Zhoc, K. C., Cai, Y., Yeung, S. S., & Shan, J. (2022). Subjective wellbeing and emotion regulation strategies: How are they associated with student engagement in online learning during Covid‐19? The British Journal of Educational Psychology, 92(4), 1537–1549. https://doi.org/10.1111/bjep.12513
   PubMed Web of Science ®Google Scholar
• Zhoc, K. C. H., King, R. B., Chung, T. S. H., & 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(4), 839–863. https://doi.org/10.1007/s10212-019-00458-0
   Web of Science ®Google Scholar