Autonomous Language Learning through Mobile Technologies: Insights from EFL Students’ Perceptions
Kata Kunci:
Learner Autonomy, EFL Students, Mobile-Assisted Language Learning, Smartphone, PerceptionsAbstrak
The widespread use of mobile technology has reshaped language learning practices, particularly in promoting learner autonomy among EFL students. Mobile-Assisted Language Learning (MALL) allows learners to independently access linguistic resources, practice language skills, and manage their own learning beyond classroom constraints. This study aimed to examine EFL students’ perceptions of learning autonomy facilitated through smartphone-based MALL. A quantitative survey design was employed, involving 161 EFL students from the English Department of Universitas Lancang Kuning selected through random sampling. Data were collected using a validated questionnaire adapted from Ramamurthy and Rao (2015) and analyzed using descriptive statistics via SPSS. The findings reveal that students hold positive perceptions toward autonomous learning through smartphones, with a high overall mean score (M = 4.01; GM = 4.19), indicating strong agreement. Smartphones were perceived as particularly effective in supporting autonomous speaking practice, vocabulary development, pronunciation checking, and flexible access to learning materials. The study concludes that MALL significantly supports the development of learner autonomy by enabling anytime and anywhere learning. It is recommended that educators integrate mobile technology strategically into EFL instruction, while future studies explore learners’ satisfaction and longitudinal impacts of MALL on autonomy development.Referensi
Almufarreh, A., & Arshad, M. (2023). Promising Emerging Technologies for Teaching and Learning: Recent Developments and Future Challenges. In Sustainability (Vol. 15, Issue 8). https://doi.org/10.3390/su15086917
Argudo-Serrano, J., Fajardo-Dack, T., Abad-Célleri, M., & Cabrera-Tenecela, P. (2023). Factors Affecting Students’ Motivation and Engagement in EFL Online Classes during the COVID-19 Pandemic. MEXTESOL Journal, 47(4), n4.
Bozkurt, A., Xiao, J., Farrow, R., Bai, J. Y. H., Nerantzi, C., Moore, S., Dron, J., Stracke, C. M., Singh, L., Crompton, H., Koutropoulos, A., Terentev, E., Pazurek, A., Nichols, M., Sidorkin, A. M., Costello, E., Watson, S., Mulligan, D., Honeychurch, S., … Asino, T. I. (2024). The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future. Open Praxis. https://doi.org/10.55982/openpraxis.16.4.777
Crogman, H. T., Cano, V. D., Pacheco, E., Sonawane, R. B., & Boroon, R. (2025). Virtual Reality, Augmented Reality, and Mixed Reality in Experiential Learning: Transforming Educational Paradigms. In Education Sciences (Vol. 15, Issue 3). https://doi.org/10.3390/educsci15030303
Graves, J. M., Abshire, D. A., Amiri, S., & Mackelprang, J. L. (2021). Disparities in Technology and Broadband Internet Access Across Rurality: Implications for Health and Education. Family & Community Health, 44(4). https://journals.lww.com/familyandcommunityhealth/fulltext/2021/10000/disparities_in_technology_and_broadband_internet.4.aspx
Greenhow, C., Staudt Willet, K. B., & Galvin, S. (2021). Inquiring tweets want to know: Edchat supports for RemoteTeaching during COVID-19. British Journal of Educational Technology : Journal of the Council for Educational Technology, 52(4), 1434–1454. https://doi.org/10.1111/bjet.13097
Jake Follmer, D., & Sperling, R. A. (2018). Interactions between reader and text: Contributions of cognitive processes, strategy use, and text cohesion to comprehension of expository science text. Learning and Individual Differences, 67, 177–187. https://doi.org/https://doi.org/10.1016/j.lindif.2018.08.005
Khampusaen, D. (2025). The Impact of ChatGPT on Academic Writing Skills and Knowledge: An Investigation of Its Use in Argumentative Essays. LEARN Journal: Language Education and Acquisition Research Network, 18(1), 963–988. https://doi.org/10.70730/PGCQ9242
Makransky, G., & Petersen, G. B. (2021). The Cognitive Affective Model of Immersive Learning (CAMIL): a Theoretical Research-Based Model of Learning in Immersive Virtual Reality. Educational Psychology Review, 33(3), 937–958. https://doi.org/10.1007/s10648-020-09586-2
Mondal, H., & Mondal, S. (2025). Adopting augmented reality and virtual reality in medical education in resource-limited settings: constraints and the way forward. Advances in Physiology Education, 49(2), 503–507. https://doi.org/10.1152/advan.00027.2025
Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches. Pearson.
OECD. (2018). Effective Teacher Policies: Insight from PISA. OECD Indicators.
Özbek, A. B., & Ergül, C. (2021). Effectiveness of Comprehension Strategies Mobile App (COSMA) on Reading Comprehension Performances of Students With Learning Disabilities. Journal of Special Education Technology, 37(2), 297–309. https://doi.org/10.1177/01626434211013540
Özer, M., & Şükrü Özbay, A. (2022). Exploring the Data-driven Approach to Grammar Instruction in the ELT Context of Turkey. Australian Journal of Applied Linguistics, 5(2 SE-), 35–63. https://doi.org/10.29140/ajal.v5n2.713
Panagiotidis, P. (2018). Technology as a Motivational Factor in Foreign Language Learning. In European Journal of Education (Vol. 1). https://doi.org/10.26417/ejed.v1i3.p43-52
Pangrazio, L., Godhe, A.-L., & Ledesma, A. G. L. (2020). What is digital literacy? A comparative review of publications across three language contexts. E-Learning and Digital Media, 17(6), 442–459. https://doi.org/10.1177/2042753020946291
Raihan, M. M. H., Subroto, S., Chowdhury, N., Koch, K., Ruttan, E., & Turin, T. C. (2024). Dimensions and barriers for digital (in)equity and digital divide: a systematic integrative review. Digital Transformation and Society, 4(2), 111–127. https://doi.org/10.1108/DTS-04-2024-0054
Rasyidah, U., Triana, N., & Rizky, R. (2025). Enhancing Literacy through Technology: How U-Dictionary Supports Reading Skills Development in English Learners. Journal of Languages and Language Teaching, 13(3), 1419–1431. https://doi.org/10.33394/jollt.v13i3.14175
Santilli, T., Ceccacci, S., Mengoni, M., & Giaconi, C. (2025). Virtual vs. traditional learning in higher education: A systematic review of comparative studies. Computers & Education, 227, 105214. https://doi.org/https://doi.org/10.1016/j.compedu.2024.105214
Vadivel, B., Namaziandost, E., & Saeedian, A. (2021). Progress in English Language Teaching Through Continuous Professional Development—Teachers’ Self-Awareness, Perception, and Feedback. Frontiers in Education, 6. https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2021.757285
Vygotsky, L. S. (1978). Mind in Society (M. Cole, V. Jolm-Steiner, S. Scribner, & E. Souberman (eds.)). Harvard University Press. https://doi.org/10.2307/j.ctvjf9vz4
Wildeman, E., Koopman, M., & Beijaard, D. (2023). Content and language integrated learning in technical vocational education: teachers’ practical knowledge and teaching behaviour. Journal of Vocational Education & Training, 75(3), 479–500. https://doi.org/10.1080/13636820.2021.1899269
Yang, P., & Yang, Z. (2025). Mobile-Assisted intercultural competence development: The role of HelloTalk in Chinese EFL education. PLOS ONE, 20(7), e0328660. https://doi.org/10.1371/journal.pone.0328660
