Impact of the “Speaking Corners” microlearning on the oral confidence and motivation of future English teachers
DOI:
https://doi.org/10.18537/mskn.17.01.05Keywords:
Microlearning, Second language learning, Oral communication, Motivation, Teaching methodsAbstract
This study explored the effects of a microlearning Speaking Corners intervention to understand deeply the oral confidence and motivation of pre-service EFL teachers while getting ready for taking the B2 First exam. A mixed-methods design was employed, consisting of a quasi-experimental pre-/post-test survey with a thematic analysis of qualitative responses. The participants were sixth-semester students enrolled in three university classes of Pedagogy of National and Foreign Languages (PINE) major, in Ecuador. Quantitatively, confidence improved across all three classes, and knowledge of exam structure rose in two classes. Perceived usefulness of microlearning increased notably in one class. Qualitative results showed that participants went from having a vague understanding to a clear understanding, used exam strategies more, felt less anxious, and were more motivated. The findings showed that peer-led and reward-supported microlearning sequences are effective in improving exam preparedness and maintaining engagement. The research provides a practical and cost-effective pedagogical framework for high-stakes EFL speaking instruction, with ramifications for teacher education and exam preparation settings.
Downloads
Metrics
References
Barus, I. R. G., & Bontisesari. (2023). Exploring the potentials of microlearning in English language teaching in higher education. Asian Journal of Applied Education (AJAE), 2(4), 557–566. https://doi.org/10.55927/ajae.v2i4.6356
Cambridge English. (2025). B2 First handbook for teachers for exams. Cambridge University Press. https://www.cambridgeenglish.org
Chen, W. (2025). Systematic review and meta-analysis of the relationship between foreign language anxiety and academic performance. Frontiers in Education, 10, 1576224. https://doi.org/10.3389/feduc.2025.1576224
Fitria, T. N. (2022). Microlearning in teaching and learning process: A review. CENDEKIA: Jurnal Ilmu Sosial, Bahasa dan Pendidikan, 2(4), 114-135. https://doi.org/10.55606/cendikia.v2i4.473
Gagné, N., & Casademont, A. J. (2024). Enhancing metalinguistic awareness through microlearning: A comparative analysis of Catalan acquisition between multilingual French and English learners. International Journal of Second and Foreign Language Education, 3(2), 31–42. https://doi.org/10.33422/ijsfle.v3i2.782
Gauvain, M. (2008). Vygotsky’s sociocultural theory. In M. M. Haith & J. B. Benson (Eds.), Encyclopedia of Infant and Early Childhood Development, (pp. 404-413). Academic Press. https://doi.org/10.1016/B978-012370877-9.00170-5
Gorham, T., Majumdar, R., & Ogata, H. (2023). Analyzing learner profiles in a microlearning app for training language learning peer feedback skills. Journal of Computers in Education, 10(3), 549–574. https://doi.org/10.1007/s40692-023-00264-0
Laksanasut, S. (2025). Gamification in ESL/EFL education: Transforming language learning and teaching through play. TESOL and Technology Studies, 6(1), 16-29. https://doi.org/10.48185/tts.v6i1.1562
Luo, L. (2022). Novel micro-learning-based mobile-assisted language app for Mandarin Chinese. Journal of Applied Learning & Teaching, 5(Special Issue), 35–42. https://doi.org/10.37074/jalt.2022.5.s1.5
Mai, H. (2025). The comparative effect of immediate and delayed feedback on EFL learners’ engagement and willingness to collaborate. PsyCh Journal, 14(6), 1008–1017. https://doi.org/10.1002/pchj.70046
Monib, W. K., Qazi, A., & Apong, R. A. (2025). Microlearning beyond boundaries: A systematic review and a novel framework for improving learning outcomes. Heliyon, 11(2), e41413. https://doi.org/10.1016/j.heliyon.2024.e41413
Myers, S. J., Davis, S. D., & Chan, J. C. K. (2021). Does expressive writing or an instructional intervention reduce the impacts of test anxiety in a college classroom? Cognitive Research: Principles and Implications, 6(1), 44. https://doi.org/10.1186/s41235-021-00309-x
Nie, W. (2023). Research on microteaching mode of college English courses based on regression network models. Applied Mathematics and Nonlinear Sciences, 9(1), 202300732.
Prasittichok, P., & Smithsarakarn, P. N. (2024). The Effects of microlearning on EFL students’ English speaking: A systematic review and meta-analysis. International Journal of Learning Teaching and Educational Research, 23(4), 525-546. https://doi.org/10.26803/ijlter.23.4.27
Qudsi, H. (2024). Gamification in education: Boosting student engagement and learning outcomes. ShodhKosh: Journal of Visual and Performing Arts, 5(4), 686-693. https://doi.org/10.29121/shodhkosh.v5.i4.2024.2542
Qun, Y. (2025). Investigating the impact of immediate vs. delayed feedback timing on motivation and language learning outcomes in online education: Perspectives from feedback intervention theory. Learning and Motivation, 90, 102-132. https://doi.org/10.1016/j.lmot.2025.102132
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. University of Rochester.
Sankaranarayanan, R., Leung, J., Abramenka-Lachheb, V., Seo, G., & Lachheb, A. (2023). Microlearning in diverse contexts: A bibliometric analysis. TechTrends, 67(2), 260–276. https://doi.org/10.1007/s11528-022-00794-x
Sathiyaseelan, B., Mathew, J., & Nair, S. (2024). Microlearning and learning performance in higher education: A post-test control group study. Journal of Learning for Development, 11(1), 1–14. https://doi.org/10.56059/jl4d.v11i1.752
Susilana, R., Dewi, L., Rullyana, G., Hadiapurwa, A., & Khaerunnisa, N. (2022). Can microlearning strategy assist students’ online learning? Jurnal Cakrawala Pendidikan, 41(2), 437–451. https://doi.org/10.21831/cp.v41i2.43387
Sweller, J. (2008). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Viberg, O., Wasson, B., & Kukulska-Hulme, A. (2020). Mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS): A conceptual framework. Australasian Journal of Educational Technology, 36(6), 34-52. https://doi.org/10.14742/ajet.6494
Zamata-Aguirre, H. R., Choquehuanca-Quispe, W., Machaca-Huamanhorcco, E., Begazo, A. N. S., & Málaga, V. W. B. (2023). Towards the development of learning through microlearning. Ciencia Latina Revista Científica Multidisciplinar, 7(1), 3939–3954. https://doi.org/10.37811/cl_rcm.v7i1.4711
Zhu, J., Dawson, K., Ritzhaupt, A. D., & Antonenko, P. (2020). Investigating how multimedia and modality design principles influence student learning performance, satisfaction, mental effort, and visual attention. Journal of Educational Multimedia and Hypermedia, 29(3), 265–284
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Sandra González-González , Andrea Robayo-Nugra

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright © Autors. Creative Commons Attribution 4.0 License. for any article submitted from 6 June 2017 onwards. For manuscripts submitted before, the CC BY 3.0 License was used.
![]()
You are free to:
![]() |
Share — copy and redistribute the material in any medium or format |
![]() |
Adapt — remix, transform, and build upon the material for any purpose, even commercially. |
Under the following conditions:
![]() |
Attribution — You must give appropriate credit, provide a link to the licence, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licenser endorses you or your use. |
| No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the licence permits. |








