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Frontiers in Educational Research, 2022, 5(13); doi: 10.25236/FER.2022.051309.

Empirical Studies on Mobile-Assisted Language Learning in China: A Review of Selected Research


Qinqin Luo, Min Shi

Corresponding Author:
Qinqin Luo

School of Foreign Languages, Southwest Petroleum University, Chengdu, 610500, China


Mobile assisted language learning (MALL) has recently aroused the attention of educators and researchers worldwide with the popularity of mobile devices. Chinese educators have made committed efforts to innovate teaching methods by integrating mobile technology into regular language courses. Nevertheless, these tireless efforts were mainly documented in Chinese, failing to reach a wider international relationship. This paper thus offers a comprehensive analysis and synthesis of MALL studies published from 2015 to 2020 in leading mainland Chinese journals. Thirty six studies from CSSCI journals were examined in terms of theoretical frameworks, methodologies, emerging themes as well as the key findings. The results indicated that diverse theories or pedagogical frameworks were applied to inform their studies but there were still a significant number of studies failing to specify any theories. Regarding methodologies, researchers tended to prefer the mixed research designs by providing both quantitative and qualitative data. Furthermore, the three major themes were identified, including learning outcomes, learning processes as well as technology acceptance and perceptions. The positive effects of MALL were largely reported from different perspectives although limitations still exist. Based on the results, implications for educators and suggestions for further MALL studies were provided in the end. 


Mobile technologies, Mobile assisted language learning, Empirical studies, China

Cite This Paper

Qinqin Luo, Min Shi. Empirical Studies on Mobile-Assisted Language Learning in China: A Review of Selected Research. Frontiers in Educational Research (2022) Vol. 5, Issue 13: 45-57. https://doi.org/10.25236/FER.2022.051309.


[1] Y. J. Song and S. C. Kong. (2017). Affordances and constraints of BYOD (Bring Your Own Device) for learning and teaching in higher education: Teachers' perspectives. The Internet and Higher Education, 32, 39–46. 

[2] C. Lai. (2020). Trends of mobile learning: a review of the top 100 highly cited papers. British Journal of Educational Technology, 51(3), 721-742.

[3] G. J. Hwang and C. C. Tsai. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4), E65–E70. 

[4] G. Krull and J. M. Duart. (2017). Research trends in mobile learning in higher education: a systematic review of articles (2011-2015). International Review of Research in Open and Distributed Learning, 18 (7), 1-23.

[5] G. J. Hwang, C. L. Lai, J. C. Liang, H. C. Chu and C. C. Tsai. (2018). A long-term experiment to investigate the relationships between high school students’ perceptions of mobile learning and peer interaction and higher-order thinking tendencies. Educational Technology Research & Development, 6(1), 75-93.

[6] Y. Q. Gu. (2002). Introduction to special issue ‘Learning and teaching English in the Chinese context. Asian Journal of English Language Teaching, 12, 1-4.

[7] S. Loewen, D. Crowther, D. R. Isbell, K. M. Kim, J. Maloney, Z. F. Miller and H. Rawal. (2019). Mobile-assisted language learning: A duolingo case study. ReCALL, 31(3), 293-311.

[8] Z. Hou and V. Aryadoust. (2021). A review of the methodological quality of quantitative mobile-assisted language learning research. System, 100, 102568. https://doi.org/10.1016/j.system.2021. 102568.

[9] G. J. Hwang and Q. K. Fu. (2019). Trends in the research design and application of mobile language learning: A review of 2007–2016 publications in selected SSCI journals. Interactive Learning Environments, 27(4), 576–581. 

[10] G. Duman, G. Orhon and N. Gedik. (2015). Research trends in mobile assisted language learning from 2000 to 2012 [J]. ReCALL, 27(2), 197-216. 

[11] J. Burston. (2015). Twenty years of mall project implementation: a meta-analysis of learning outcomes [J]. ReCALL, 27(1), 4-20.

[12] L. Wang and J. C. Dai. (2015). The construction and application of the WeChat-based mobile interactive translation teaching model. Technology Enhanced Foreign Language Education, 2, 35-41.

[13] G. Zeng and L. F. Yu. (2017). Effects of mobile learning on focus on form[J]. Technology Enhanced Foreign Language Education, 6, 12-16.

[14] G. Zeng, Y. H. Wang and X. H. Tan. (2020). Effects of two peer feedback modes on English oral performance in a mobile assisted language learning environment. Foreign Languages and Their Teaching, 6, 109-120. 

[15] J. Zeng. (2019). A Study on User Acceptance of Mobile-Assisted Language Learning Based on UTAUT2. Technology Enhanced Foreign Language Education, 190(6), 18-26.

[16] V.Venkatesh, J. Y. L. Thong and X. Xu. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.

[17] X. L. Wang, L, Wang and H, Yin. (2017). The construction and application of the translation teaching model of mobile learning community. Technology Enhanced Foreign Language Education, (4), 31-37.

[18] H. Crompton and D. Burke. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53-64. 

[19] W. Fan, Y. Ma, Kai. Li and B. Qiu. (2015). A practical study in the flipped classroom based on WeChat under environment of mobile learning. Open Education Research, (3), 90-97.

[20] Q. F. Wen and L. Lin. (2016). Trends of research methods used in applied linguistics in and outside China: 2001⁃2015. Modern Foreign Languages, 39(6), 842-852.

[21] G. Henning. (1986). Quantitative methods in language acquisition research. TESOL Quarterly, 20(4), 701-708. 

[22] Y. H. Gao, L. C. Li and J. Lv. (2001). Trends in research methods in applied linguistics: China and the West. English for Specific Purposes, 20(1), 1-14. 

[23] Y. N. Su and Y. P. Su. (2015). Development and application of integrable wares of mobile learning games for college students to learn English words—Taking the game of ‘Happy Farm’ as an example. Technology Enhanced Foreign Language Education, (5): 30-35.

[24] Q. Ling, H. Wang and Z. H. Wang. (2019). A Study on the Effectiveness of Mobile Game-Based Learning for Vocabulary Acquisition among College Learners. Technology Enhanced Foreign Language Education, 6, 9-15.

[25] C. R. Zhou, Z. Sun and H. J. Shen. (2015). A Study on the Effect of Primary School Students’ Oral English Learning Based on Mobile APP. E-education Research, 36(8), 87-94.

[26] G. Zeng, Y. H. Wang and X. H. Tan. (2020). Effects of two peer feedback modes on English oral performance in a mobile assisted language learning environment. Foreign Languages and Their Teaching, 6, 109-120.

[27] Y. J. Jiang. (2016). An experimental study on English reading teaching supported by WeChat public platform. Technology Enhanced Foreign Language Education, 3, 58-63.

[28] Q. F. Wu. (2015). The application of WeChat in second class of English in middle school. China Educational Technology, 12, 150-153.

[29] X. D. Li and B. Y. Wang. (2017). An empirical study on college English flipped classroom model based on context awareness. Technology Enhanced Foreign Language Education, 12, 71-77.

[30] K. S. Weng. (2015). Collaborative mobile-assisted language learning: characteristics and effectiveness. Distance Education in China, 5, 34-41.

[31] F. He, X. Y. He and Q. C. Liu. (2018). Reports on the status quo of college students’ information technology ability in English learning under m-learning background. Technology Enhanced Foreign Language Education, 2, 68-71.

[32] L. S. Li, W. Zhao and H. X. Liu. (2020). Research on mobile English learning behavior based on lag sequential analysis. Technology Enhanced Foreign Language Education, 5, 94-100.

[33] L. H. Hui, Y. Zhang and X. X. Li. (2019). An empirical study on motivation regulation of college students’ English learning in mobile assisted learning environment. Foreign Language Education, 40(1), 59-65.

[34] E. A. Skinner and J. R. Pitzer. (2012). Developmental dynamics of engagement, coping, and everyday resilience in Handbook of research on student engagement, S. L. Christenson, A. L. Reschly and C. Wylie, Eds. New York: Springer, 21-44.

[35] J. Philp and S. Duchesne. (2016). Exploring engagement in tasks in the language classroom[J]. Annual Review of Applied Linguistics, 36, 50-72. 

[36] Z. Z. Chen. (2019). Student Engagement in Smartphone-Assisted Foreign Language Classroom. Technology Enhanced Foreign Language Education, 3, 49-54.

[37] F. L. Jing. (2020). Student engagement of mobile-assisted foreign language learning based on Q methodology. Foreign Language World, 1, 79-87.

[38] H. B. Zhan and L. G. Zhang. (2015). The design and application of lock screen mobile learning software for college English vocabulary. Distance Education in China, 4, 43-48.

[39] Y. R. Meng, D. Liu and G. D. He. (2018). Mobile-assisted language learning acceptance—From model construction to cognitive diagnostic classification. Modern Educational Technology, 28(8), 58-65.

[40] B. Yang, G. Q. Lu, T.G. Tiong and Y. Yang. (2017). The research of mobile language learning based on location context. Modern Education Technology, 27(2), 120-126.

[41] J. Xi, J. H. Wang and H. Z. Zhang. (2020). Influencing factors for mobile foreign language learning based on multiple intelligence theory. Foreign Language Education, 41(4), 58-62.

[42] K. S. Weng and J. J.Wu. (2020). An investigation on vocational college students’ mobile language learning. Distance Education in China, 10, 67-75.

[43] X.Q. Xu and Y. W. Zhang. (2020). Research on influencing factors of users’ intention of using mobile learning platform: Technology acceptance model based on mobile situation and flow Experience. Learning Environment and Resources, 3, 69-75.

[44] R. A. Alsharida and M. M. Hammood. (2021). Mobile learning adoption: a systematic review of the technology acceptance model from 2017 to 2020. International Journal of Emerging Technologies in Learning, 16(5), 147-162.

[45] Y. R. Meng, X.M. Ma and Z. Yue. (2018). College students’ perceptions on MALL: Evidence from metaphors. Foreign languages and their teaching, 5, 129-138. 

[46] A. Gao, Y. Liao and Y. Li. (2014). Empirical studies on foreign language learning and teaching in china (2008-2011): a review of selected research. Language Teaching, 47(1), 56-79.

[47] Y. Zhou. (2019). Design and practice of the blended teaching model for oral presentation in college English. Modern Education Technology, 29(3), 85-91.