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Sustainable Learning Environment by Mobile-Assisted Language Learning Methods on the Improvement of Productive and Receptive Foreign Language Skills: A Comparative Study for Asian Universities

Author

Listed:
  • Mohsen Mortazavi

    (Department of Computer Education and Instructional Technologies, Eastern Mediterranean University (EMU), Famagusta 99628, Cyprus)

  • Mahyuddin K. M. Nasution

    (Fasilkom-TI, Information Technology Department, Universitas Sumatera Utara, Medan 20222, Indonesia)

  • Foad Abdolahzadeh

    (Department of Arabic Language and Literature, University of Zabol, Zabol 9861615881, Iran)

  • Mojtaba Behroozi

    (Department of Arabic Language and Literature, University of Zabol, Zabol 9861615881, Iran)

  • Afshin Davarpanah

    (Department of Mathematics, Aberystwyth University, Aberystwyth, Ceredigion SY23 3BZ, UK)

Abstract

In this comparative study, we investigated different influential factors of mobile-assisted language learning (MALL) for improving productive and receptive language learning skills. To do this, 100 scientific research papers were selected from the top and high-quality journals based on the implications of MALL in higher education language learning. Eight papers were selected according to the specific criteria to categorize the results based on language skills interpretation and technological concepts. Therefore, after thoroughly understanding proposed methodologies and comparing them properly, underlying assumptions about this phenomenon are elaborated, and holistic and sustainable solutions are provided to address this idea. The results of this analysis indicated that Mobile devices are being utilized extensively in developing countries, with vocabulary being the primary language learning area assisted by technology and yielding satisfactory results. According to the findings of this comparative study, LINE and WhatsApp would be of interest among university students to improve receptively (listening and reading) and productivity (writing and speaking), respectively. Moreover, the technology acceptance model (TAM) would be a prominent option for teachers to adapt their current and future educational programs instead of only in-person teaching to improve students’ learning quality.

Suggested Citation

  • Mohsen Mortazavi & Mahyuddin K. M. Nasution & Foad Abdolahzadeh & Mojtaba Behroozi & Afshin Davarpanah, 2021. "Sustainable Learning Environment by Mobile-Assisted Language Learning Methods on the Improvement of Productive and Receptive Foreign Language Skills: A Comparative Study for Asian Universities," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6328-:d:567887
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    References listed on IDEAS

    as
    1. Presbitero, Alfred, 2020. "Foreign language skill, anxiety, cultural intelligence and individual task performance in global virtual teams: A cognitive perspective," Journal of International Management, Elsevier, vol. 26(2).
    2. Mohsen Mortazavi & Fatma Tansu Hocanın & Afshin Davarpanah, 2020. "Application of Quantitative Computer-Based Analysis for Student’s Learning Tendency on the Efficient Utilization of Mobile Phones during Lecture Hours," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    3. Alberto Andujar & María Sagrario Salaberri-Ramiro & María Soledad Crúz Martínez, 2020. "Integrating Flipped Foreign Language Learning through Mobile Devices: Technology Acceptance and Flipped Learning Experience," Sustainability, MDPI, vol. 12(3), pages 1-12, February.
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    Cited by:

    1. Rastislav Metruk, 2021. "The Use of Smartphone English Language Learning Apps in the Process of Learning English: Slovak EFL Students’ Perspectives," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    2. Rustam Shadiev & Xun Wang & Yuliya Halubitskaya & Yueh-Min Huang, 2022. "Enhancing Foreign Language Learning Outcomes and Mitigating Cultural Attributes Inherent in Asian Culture in a Mobile-Assisted Language Learning Environment," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    3. Mohsen Mortazavi, 2023. "Selecting Sustainable Optimal Stock by Using Multi-Criteria Fuzzy Decision-Making Approaches Based on the Development of the Gordon Model: A case study of the Toronto Stock Exchange," Papers 2304.13818, arXiv.org.

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