Applications that can be used in Mobile-Assisted Language Education

Authors

DOI:

https://doi.org/10.64169/dje.82

Keywords:

Language acquisition, Digital learning tools, Gamification, Mobile devices, Autonomous learning, Podcast, Motivated students

Abstract

Mobile-Assisted Language Education (MALE) has emerged as a powerful approach in modern language learning, leveraging the portability and functionality of mobile devices to provide learners with flexible and engaging educational experiences. This paper explores a range of mobile applications that support language acquisition, including educational productivity tools such as CamScanner, ClassDojo, Google Apps, iMovie, Padlet, and Screen Castomatic, alongside digital platforms like podcasts and Web 2.0 tools. These applications utilise features such as interactive lessons, gamification, digital collaboration, multimedia creation, and screen recording to enhance various language skills, including listening, speaking, reading, and writing. The study highlights the advantages of using mobile apps in language education, such as increased accessibility, learner autonomy, real-time feedback, and seamless integration of traditional learning materials into digital formats. It also discusses challenges, including the need for consistent motivation and potential limitations in the depth of content. The paper concludes with practical recommendations for educational institutions to integrate these mobile learning tools into formal language curricula as supplementary learning resources.

Author Biographies

Turkan Ismayilli, Nakhchivan State University

Dr. Ismayilli's research interests encompass cognitive linguistics, language assessment, and specialized translation studies. Her recent publications focus on cognitive constructions in affirmative structures, verbal communication skills development in English language teaching, foreign language assessment methodologies, and the complexities of medical text translation.

Alaviyya Nuri , Nakhchivan State University

Alaviyya Bahruz Nuri is a lecturer at the Faculty of Foreign Languages, Department of English and Methods of Teaching, Nakhchivan State University, Azerbaijan. She has over six years of academic experience in English language instruction and is currently pursuing her doctoral studies in the field. 

References

[1] Aoun, J. E. (2017). Robot-proof: Higher education in the age of artificial intelligence. MIT Press. https://doi.org/10.7551/mitpress/11456.001.0001 DOI: https://doi.org/10.7551/mitpress/11456.001.0001

[2] Babayev, J. (2023). Cognitive aspects of simultaneous and consecutive interpretations. Interdisciplinary Science Studies, (1).

[3] Babayev, J. (2023). How to teach a foreign language through CLT. In Proceedings of the 4th International Scientific Conference "Interdisciplinary Science Studies" (p. 123). Letterkenny Institute of Technology

[4] Baker, R. S. (2016). Stupid tutoring systems, intelligent humans. International Journal of Artificial Intelligence in Education, 26(2), 600–614. https://doi.org/10.1007/s40593-016-0105-0 DOI: https://doi.org/10.1007/s40593-016-0105-0

[5] Belda-Medina, J., Kokošková, V. (2023). Integrating chatbots in education: insights from the Chatbot-Human Interaction Satisfaction Model (CHISM). Int J Educ Technol High Educ 20, 62. https://doi.org/10.1186/s41239-023-00432-3 DOI: https://doi.org/10.1186/s41239-023-00432-3

[6] Daghamin, H., & Daghmin, N. (2025). Between Innovation and Tradition: The Impact of AI on Literature Education. Dibon Journal of Education, 1(1), 42–55. DOI: https://doi.org/10.64169/dje.11

[7] Essafi, M., Belfakir, L., & Moubtassime, M. (2024). Investigating Mobile-Assisted Language Learning Apps: Babbel, Memrise, and Duolingo as a Case Study. Journal of Curriculum and Teaching, 13(2). https://doi.org/10.5430/jct.v11n2p1 DOI: https://doi.org/10.5430/jct.v13n2p197

[8] Habib, S., Haider, A., Suleman, S. S. M., Akmal, S., & Khan, M. A. (2022). Mobile Assisted Language Learning: Evaluation of Accessibility, Adoption, and Perceived Outcome among Students of Higher Education. Electronics, 11(7), 1113. https://doi.org/10.3390/electronics11071113 DOI: https://doi.org/10.3390/electronics11071113

[9] Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275–285. https://doi.org/10.1016/j.susoc.2022.05.004 DOI: https://doi.org/10.1016/j.susoc.2022.05.004

[10] Ismailli, T. M., Orujova, D. I., Bahruz, A. N., & Zeynalova, R. S. (2024). Bullying and Its Impact on Learning Process (Language Learning). International Journal of Religion, 5(11), 1238-1243. DOI: https://doi.org/10.61707/k9ahjd46

[11] Nuri, A. (2024). The Impact of Social Networks on Language Learning: A Comprehensive Analysis. EuroGlobal Journal of Linguistics and Language Education, 1(2), 65-71. DOI: https://doi.org/10.69760/qxf8gj63

[12] Sarikaya, R. (2017). The Technology Behind Personal Digital Assistants: An overview of the system architecture and key components. IEEE Signal Processing Magazine, 34(1). pp. 67-81. Doi: 10.1109/MSP.2016.2617341 DOI: https://doi.org/10.1109/MSP.2016.2617341

[13] Solmaz, O. (2025). Impacts of digital applications on emergent multilinguals' language learning experiences: the case of Duolingo. Educ Inf Technol 30, 9185–9214. https://doi.org/10.1007/s10639-024-13185-x DOI: https://doi.org/10.1007/s10639-024-13185-x

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Published

2025-06-29

How to Cite

Ismayilli, T., & Nuri , A. (2025). Applications that can be used in Mobile-Assisted Language Education. Dibon Journal of Education, 1(2), 111–119. https://doi.org/10.64169/dje.82

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