The Interaction between Learning Engagement and Academic Achievement in Second Language Acquisition: A Multivariate Analysis

Authors

  • Yan Tong

    Faculty of Education, Languages, Psychology & Music, SEGi University & Colleges, George Town 47810, Malaysia

    Faculty of Cultural Communication and Design, Guangdong Open University (Guangdong Polytechnic Institute), Guangzhou 51009, China

  • Baljinder Singh Maghar Singh

    Faculty of Education, Languages, Psychology & Music, SEGi University & Colleges, George Town 47810, Malaysia

DOI:

https://doi.org/10.30564/fls.v7i7.10142
Received: 22 May 2025 | Revised: 11 June 2025 | Accepted: 16 June 2025 | Published Online: 15 July 2025

Abstract

This study investigates the complex interplay between behavioral, emotional, and cognitive engagement and their collective impact on academic achievement in Second language Acquisition SLA. Utilizing a quantitative research design with Structural Equation Modeling (SEM), data were collected from 540 university ESL learners to explore how different engagement dimensions influence language learning outcomes. Results reveal that cognitive engagement—characterized by strategic learning, self-regulation, and deep processing has the strongest direct effect on academic achievement (β = 0.51, p < 0.001). Behavioral engagement significantly predicts cognitive engagement (β = 0.58, p < 0.001) and shows a modest direct effect on achievement (β = 0.15, p < 0.05), while emotional engagement affects achievement both directly (β = 0.26, p < 0.01) and indirectly through cognitive engagement. The model explains 43% of the variance in academic performance, highlighting the critical mediating role of cognitive engagement in Tran SLA participation and affect into success. Subgroup analyses further reveal higher emotional engagement among females and greater cognitive engagement in advanced learners. These findings support multidimensional engagement frameworks and have practical implications for SLA instruction, suggesting that fostering strategic cognitive investment alongside supportive emotional and behavioral environments enhances language proficiency. The study contributes to SLA theory by demonstrating the dynamic and interdependent nature of engagement dimensions in predicting learner achievement.

Keywords:

Second Language Acquisition SLA; Learning Engagement; Cognitive Engagement; Task-Based Language Teaching (TBLT); Structural Equation Modeling (SEM)

References

[1] Hasdina, N., Sofyawati, E.D., Dewi, S., et al., 2024. Students' engagement in English language course. English Education and Applied Linguistics Journal. 7(1), 23–33.

[2] Hiver, P., Al-Hoorie, A.H., Vitta, J.p., et al., 2024. Engagement in language learning: A systematic review of 20 years of research methods and definitions. Language Teaching Research. 28(1), 201-230. DOI: https://orcid.org/10.1177/13621688211001289.

[3] Jiang, Y., Peng, J.E., 2025. Exploring the relationships between learners' engagement, autonomy, and academic performance in an English language MOOC. Computer Assisted Language Learning. 38(1–2), 71–96.

[4] Abid, N., Akhtar, M., 2020. Relationship between Academic Engagement and Academic Achievement: An Empirical Evidence of Secondary School Students. 23(1), 48.

[5] Zare, J., Derakhshan, A., 2024. Task engagement in second language acquisition: A questionnaire development and validation study. Journal of Multilingual and Multicultural Development. 1–17. DOI: https://doi.org/10.1080/01434632.2024.2306166

[6] Alrabai, F., Algazzaz, W., 2024. The influence of teacher emotional support on language learners' basic psychological needs, emotions, and emotional engagement: Treatment-based evidence. Studies in Second Language Learning and Teaching. 14(3), 453–482.

[7] Huang, L., Al-Rashidi, A.H., Bayat, S., 2024. Teacher support in language learning: A picture of the effects on language progress, academic immunity, and academic enjoyment. BMC Psychology. 12(1), 124.

[8] Dörnyei, Z., Csizér, K., 1998. Ten commandments for motivating language learners: Results of an empirical study. Language Teaching Research - LANG TEACH RES. 2. 203-229. DOI: https://doi.org/10.1191/136216898668159830.

[9] Appleton, L., Christenson, G., Furlong, K., 2008. Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools. 45(5), 369–386.

[10] Byrne, B., 2013. Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, 2nd ed. Routledge: New York, NY, USA. pp. 1–396.

[11] Ahmadi, S., 2024. Zero trust architecture in cloud networks: Application, challenges and future opportunities. Journal of Engineering Research and Reports. 26(2), 215–228.

[12] Skinner, E., Furrer, C., Marchand, G., et al., 2008. Engagement and Disaffection in the Classroom: Part of a Larger Motivational Dynamic?. Journal of Educational Psychology - J EDUC PSYCHOL. 100, 765-781. DOI: https://orcid.org/10.1037/a0012840.

[13] Ellis, M., 2003. Task-Based Language Learning and Teaching. Oxford University Press: Oxford, UK. pp. 1–387.

[14] Willis, J., 1996. A Framework for Task-Based Learning. Longman: Harlow, UK. pp. 1–183.

[15] Iftanti, E., 2023. Exploring the Indonesian EFL Students' Reading Anxiety and Attitude Before and After Covid-19 Pandemic. Indonesian Journal of English Language Teaching and Applied Linguistics.7(2), 439-464

[16] Kim, J., 2022. Korean EFL Students Building and Sustaining New Perspectives through Global Literary Texts. Sustainability, 14(3), 1372. DOI: https://doi.org/10.3390/su14031372

[17] Haleem, A., Javaid, M., Qadri, M. A., et al., 2022. Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers. 3, 275-285. DOI: https://doi.org/10.1016/j.susoc.2022.05.004

[18] Horwitz, E., 2001. Language anxiety and achievement. Annual Review of Applied Linguistics. 21, 112–126. DOI: https://doi.org/10.1017/S0267190501000071

[19] Aamir, A., 2023. Emotional intelligence and organizational commitment-application of the Goleman's model of emotional intelligence. International Journal of Intellectual Human Resource Management. 4(1), 1–6. DOI: https://doi.org/10.46988/IJIHRM.04.01.2023.001

[20] Dewaele, J.M., MacIntyre, P., 2024. 'You can't start a fire without a spark'. Enjoyment, anxiety, and the emergence of flow in foreign language classrooms. Applied Linguistics Review. 15(2), 403–426.

[21] Afzali, Z., Izadpanah, S., 2021. The effect of the flipped classroom model on Iranian English foreign language learners: Engagement and motivation in English language grammar. Cogent Education, 8(1), 1870801. DOI: https://doi.org/10.1080/2331186X.2020.1870801

[22] Albahouth, K., 2024. The impact of a pedagogic intervention on learner engagement in Saudi EFL grammar classes: A focus on flipped and interactive pedagogy [Doctoral dissertation, University of Southampton]. Available from: https://eprints.soton.ac.uk/489342/. (cited 10 May 2025).

[23] Alswuail, F. I., 2015. The Influence of Religious and Cultural Attitudes on Engagement among Learners of English As a Foreign Language in Saudi Arabia. [Unpublished doctoral dissertation].

[24] Aubrey, S., King, J., Almukhaild, H., 2022. Language learner engagement during speaking tasks: A longitudinal study. RELC Journal. 53(3), 519–533. DOI: https://doi.org/10.1177/0033688220945418

[25] Barchard, K. A., Brackett, M. A., & Mestre. J. M. (2016). Taking stock and moving forward: 25 years of emotional intelligence research. Emotion Review, 8(4), 289–289. DOI: https://doi.org/10.1177/1754073916650562

[26] Bitrián, P., Buil, I., Catalán, S., 2021. Enhancing user engagement: The role of gamification in mobile apps. Journal of Business Research, 132, 170–185. DOI: https://doi.org/10.1016/j.jbusres.2021.04.028

[27] Bygate, M., Samuda, V., 2009. Creating Pressure in Task Pedagogy: The Joint Roles of Field, Purpose, and Engagement within The Interaction Approach. In: Mackey A., Polio C. (eds.). Multiple Perspectives on Interaction. Second Language Research in Honor of Susan M, 1st ed. Gass. Routledge: New York, NY, USA. pp.90–116.

[28] Dao, P. (2021). Effects of task goal orientation on learner engagement in task performance. International Review of Applied Linguistics in Language Teaching. 59(3), 315–334. DOI: https://doi.org/10.1515/iral-2018-0188

[29] Bates, R.A., 2005. Multivariate Research Methods. In: Swanson, R.A., Holton, E.F. (eds.). Research in Organizations: Foundations and Methods of Inquiry. Berrett-Koehler Publishers, Inc: San Francisco, CA, USA. pp. 115–142.

[30] López, M.I., Callao, M.P., Ruisánchez, I., 2015. A tutorial on the validation of qualitative methods: From the univariate to the multivariate approach. Analytica Chimica Acta. 891, 62–72.

[31] Benjamin, A., 2024. Studying the student's perceptions of engagement and problem-solving skills for academic achievement in chemistry at the higher secondary level. Education and Information Technologies. 29(7), 8347–8368.

[32] Eerdemutu, L., Dewaele, J.M., Wang, J., 2024. Developing a short language classroom engagement scale (LCES) and linking it with needs satisfaction and achievement. System. 120, 103189.

[33] Sukserm, P., 2024. Understanding Latent Variables in EFL Contexts. Shanlax International Journal of Education. 12(4), 60–69.

[34] Eden, C.A., Chisom, O.N., Adeniyi, I.S., 2024. Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews. 10(2), 006–013.

[35] Yi, S., Li, W., Zhang, Y., et al., 2025. Exploring the impact of technology on foreign language learning: A multivariate meta–meta-analysis study. Educational Technology Research and Development. 73(1), 35–58.

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How to Cite

Tong, Y., & Singh, B. S. M. (2025). The Interaction between Learning Engagement and Academic Achievement in Second Language Acquisition: A Multivariate Analysis. Forum for Linguistic Studies, 7(7), 386–401. https://doi.org/10.30564/fls.v7i7.10142