Abstract
Mobile phone technology has gained increasing attention in education; however, its systematic pedagogical application in high school English as a foreign language (EFL) instruction remains underexplored. This study designed, validated, and evaluated a mobile-assisted pedagogical model aimed at enhancing academic enthusiasm, collaborative learning, and English language achievement among high school learners. A sequential exploratory mixed-methods design was adopted. In the qualitative phase, model development was informed by a systematic literature review and expert consultation. In the quantitative phase, the model underwent an expert-based content evaluation, and its instructional effects were subsequently examined using a quasi-experimental pretest–posttest design. The sample comprised 450 10th-grade female students, randomly assigned to experimental (n = 225) and control (n = 225) groups. Instruments included a curriculum-aligned language proficiency test, a collaborative learning questionnaire, and an academic enthusiasm scale. Data were analyzed using descriptive statistics and ANCOVA. Results indicated that the experimental group significantly outperformed the control group in academic enthusiasm, collaborative learning, and English learning outcomes. The findings highlight the potential of mobile-assisted pedagogy to foster motivation, structured interaction, and sustained language learning. The study contributes a validated instructional framework grounded in sociocultural, self-determination, and cognitive load theories. Practical implications include integrating mobile-based activities into lesson planning, providing teacher training for technology-enhanced pedagogy, and ensuring equitable access to digital tools. Future research should examine long-term effects, gender comparisons, and the applicability of the model across diverse cultural and curricular contexts.
Similar content being viewed by others
Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Ahmad Faudzi, M. et al. Investigating the user interface design frameworks of current mobile learning applications: A systematic review. Educ. Sci. 13(1), 94–102 (2023).
Metruk, R. Mobile-assisted language learning and pronunciation instruction: A systematic literature review. Educ. Inf. Technol. https://doi.org/10.1007/s10639-024-12453-0 (2024).
Chen, C.-C. & Huang, P.-H. The effects of STEAM-based mobile learning on learning achievement and cognitive load. Interact. Learn. Environ. 31(1), 100–116 (2023).
Herwin, H., Nurhayati, R. & Dahalan, S. C. Mobile assessment to improve learning motivation of elementary school students in online learning. Int. J. Inf. Educ. Technol. 12(5), 436–442. https://doi.org/10.18178/ijiet.2022.12.5.1638 (2022).
Tashtoush, M. et al. The impact of information and communication technologies (ICT)-based education on the mathematics academic enthusiasm. J. Educ. Social Res. 13(3), 284–293. https://doi.org/10.36941/jesr-2023-0077 (2023).
Huang, P. S., Chiu, P. S., Huang, Y. M., Zhong, H. X. & Lai, C. F. Cooperative mobile learning for the investigation of natural science courses in elementary schools. Sustainability 12(16), 6606–6611 (2020).
Peramunugamage, A., Ratnayake, U. W. & Karunanayaka, S. P. A systematic review on mobile collaborative learning for engineering education. J. Comput. Educ. 10(1), 83–106. https://doi.org/10.1007/s40692-022-00223-1 (2023).
Garzón, J., Lampropoulos, G. & Burgos, D. Effects of mobile learning in English language learning: A meta-analysis and research synthesis. Electronics 12(7), 1595–1601. https://doi.org/10.3390/electronics12071595 (2023).
Yim, I. H. Y. & Su, J. Artificial intelligence (AI) learning tools in K-12 education: A scoping review. J. Comput. Educ. 12(1), 93–131. https://doi.org/10.1007/s40692-023-00304-9 (2025).
Kim, J. Y., Kim, E. & Lee, I. Influence of self-esteem of middle school students for mental care on academic achievement: Based on the mediation effect of GRIT and academic enthusiasm. Int. J. Environ. Res. Public Health 18(13), 7025–7031. https://doi.org/10.3390/ijerph18137025 (2021).
Burke, P. F., Schuck, S., Burden, K. & Kearney, M. Mediating learning with mobile devices through pedagogical innovation: Teachers’ perceptions of K-12 students’ learning experiences. Comput. Educ. 227, 105226. https://doi.org/10.1016/j.compedu.2025.105226 (2025).
Piskurich, G. M. Rapid instructional design: Learning ID fast and right (John Wiley & Sons, 2015).
Vygotsky, L.S., Mind in society: The development of higher psychological processes. 1978: Harvard University Press.
Deci, E. L. & Ryan, R. M. The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychol. Inq. 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01 (2000).
Sweller, J. Instructional design. In Encyclopedia of evolutionary psychological science 4159–4163 (Springer International Publishing, 2021). https://doi.org/10.1007/978-3-319-19650-3_2438.
Papadakis, S. Advances in mobile learning educational research (AMLER): Mobile learning as an educational reform. Adv Mobile Learn Educ. Res. 1(1), 1–4. https://doi.org/10.25082/AMLER.2021.01.001 (2021).
Tang, Y. M., Chau, K. Y., Lau, Y. Y. & Ho, G. T. S. Impact of mobile learning in engineering mathematics under 4-year undergraduate curriculum. Asia Pac. J. Educ. 45(1), 147–163 (2025).
Li, C. et al. Constructivist learning environment and strategic learning in engineering education. Learn. Environ. Res. 26(3), 743–759 (2023).
Stahl, G., Contributions to a theoretical framework for CSCL, in In Computer Support for Collaborative Learning 2023, Routledge. p. 62–71.https://doi.org/10.3115/1658616.1658626
Yu, Z., Yu, L., Xu, Q., Xu, W. & Wu, P. Effects of mobile learning technologies and social media tools on student engagement and learning outcomes of English learning. Technol. Pedagog. Educ. 31(3), 381–398. https://doi.org/10.1080/1475939X.2022.2045215 (2022).
Demir, K. & Akpinar, E. The effect of mobile learning applications on students’ academic achievement and attitudes toward mobile learning. Malays. Online J. Educ. Technol. 6(2), 48–59 (2018).
Martin, R., T. McGill, and F. Sudweeks. Learning anywhere, anytime: student motivators for m-learning. in Proceedings of the Informing Science and Information Technology Education Conference. 2013. Informing Science Institute.
Anshari, M. et al. Smartphones usage in the classrooms: Learning aid or interference?. Educ. Inf. Technol. 22, 3063–3079 (2017).
Fredericks, J. A., B., P. & Paris, A. H. School engagement: Potential of the concept, state of the evidence. Rev. Educ. Res. 74(1), 59–109 (2004).
Moghimi, S. M. & Ramadan, M. Management research paper for organizational psychology (Rahdan Publishing, 2012).
Ruhe, V., & Zumbo, B. D., Evaluation in distance education and e-learning: The unfolding model. 2008: Guilford Press.
Dattatraya, S. D. & Prasad, R. Mobile learning: Steps towards transforming traditional learning to e-learning. Sandip Foundation’s Int. J. Emerg. Trends Technol. (IJET) 7(2), 1–6 (2020).
Ally, M. Mobile learning: transforming the delivery of education and training (Athabasca University Press, 2009).
Ramos, A., Trinoña, J. & Lambert, D. Viability of mobile SMS technologies for nonformal distance education. Inf Commun. Technol. Social Dev. 1, 69–79 (2006).
de OLIVEIRA, L.C., et al., Information and communication technologies in education 4.0 paradigm: a systematic mapping study. Informatics in Education, 2023. 22(1): p. 71–98.https://doi.org/10.15388/infedu.2023.03.
Dias, L. & Victor, A. Teaching and learning with mobile devices in the 21st century digital world: Benefits and challenges. Eur. J. Multidiscip. Stud. 7(1), 26–34 (2022).
Elias, T. Universal educational design principles for Moodle. Int. Rev. Res. Open Distributed Learn. 11(2), 110–124. https://doi.org/10.19173/irrodl.v11i2.869 (2010).
Florian, L., & Hegarty, J. , ICT and special educational needs: a tool for inclusion. 2004: McGraw-Hill Education (UK).
Palloff, R. & Pratt, K. Assessing the online learner: Resources and strategies for faculty (Jossey-Bass, 2009).
Moghadasi, J. & Keikavoosi-Arani, L. Investigating the factors influencing students’ academic enthusiasm for a shift of paradigm among education managers shaping academic pedagogy. BMC Med. Educ. 23(1), 480–487 (2023).
Jurayev, T. N. The use of mobile learning applications in higher education institutes. Adv. Mobile Learn. Educ. Res. 3(1), 610–620 (2023).
Mohtar, S. et al. Mobile learning: research context, methodologies and future works towards middle-aged adults–a systematic literature review. Multimedia Tools Appl. 82(7), 11117–11143. https://doi.org/10.1007/s11042-022-13698-y (2023).
Author information
Authors and Affiliations
Contributions
Authorship Contribution Statement S.I. (Siros Izadpanah), M.C. (Mahdis Charmi), and D.W. ( Dai Wenji) collaboratively contributed to the study design, data analysis, and manuscript development. D.W. conducted re‑analysis and refinement of the Confirmatory Factor Analysis (CFA), integrated Sociocultural, Self‑Determination, and Cognitive Load Theories within the pedagogical framework, and substantively revised both the theoretical and methodological sections. S.I. conceptualized the pedagogical model, supervised data collection and validation, and prepared the final version of the manuscript for submission. M.C. performed the initial statistical analyses, organized figures and tables, and assisted in drafting and proofreading the manuscript. All authors reviewed and approved the final manuscript.
Corresponding author
Ethics declarations
Ethical approval
Approval ID: Research Ethics Committees of Islamic Azad University-Zanjan Branch: IR.IAU.Z.REC.1402.087. Written informed consent was obtained from all participants’ parents or legal guardians, and written assent was obtained from the students prior to data collection. The consent process explicitly addressed the use of Telegram for instructional communication. To protect participants’ privacy, students were instructed to adjust Telegram settings to hide phone numbers, no personal identifiers were collected, and online interactions were monitored by teachers and the research team.
Competing interests
There is no ethical or conflict of interest in this research. All the participants filled out consent forms.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Wenji, D., Charmi, M. & Izadpanah, S. Development and evaluation of a mobile assisted pedagogical model to enhance academic enthusiasm learning and collaboration in EFL contexts. Sci Rep (2026). https://doi.org/10.1038/s41598-026-46662-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-026-46662-z


