Improving Students' Language Performance Through Consistent Use of E-Learning: An Empirical Study in Japanese, Korean, Hindi and Sanskrit


  • Sara LIBRENJAK University of Zagreb
  • Kristina KOCIJAN University of Zagreb
  • Marijana JANJIĆ University of Zagreb



e-learning, second language teaching, Japanese, Korean, Hindi, Sanskrit, Memrise, Anki, Quizlet


This paper describes the backing theories, methodology, and results of a two-semester long case study of the application of technology in teaching four Asian languages (Japanese, Korean, Hindi, and Sanskrit) to Croatian students. We have developed e-learning materials to follow the curriculum in Croatia and deployed them in Asian language classrooms. Students who agreed to participate in the study were tested before using the materials, and after each semester, and their progress was surveyed. In the case of Japanese students (N=53), we have thoroughly monitored their usage and compared the progress of students who have diligently studied vocabulary and grammar using our materials on Memrise, and those who have neglected their studies. This was measured through their scores on the Memrise, which shows the user's activity. Also, their progress was measured using standardized tests that were designed in such a manner to resemble Japanese Language Proficiency Test. We have found that frequent users progressed averagely 20,3% after each semester, while non-frequent users have progressed only 11,6%, proving this method to be related to stable and constant use of e-materials.


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Anki – powerful, intelligent flashcards. (2016). Retrieved 11 September 2016, from

Ayres, R. (2002). Learner attitudes toward the use of CALL. Computer Assisted Language learning 15(3), 241–249.

Council of Europe. (2001). Common European framework of reference for languages: Learning, teaching, assessment (CEFR). Cambridge, the United Kingdom: Cambridge. Retrieved from Framework_EN.pdf

Creative Commons. (2016). Creative Commons. Retrieved 11 September 2016, from

De la Rouviere, J. (2013). Chinese radicals in spaced repetition systems: a pilot study on the acquisition of Chinese characters by students learning Chinese as a foreign language. M. Phil dissertation, Stellenbosch University.

Golonka, E.M., Bowles, A.R., Frank, V.M., Richardson, D.L., & Freynik, S. (2014). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer Assisted Language Learning, 27, 70–105.

Hanson-Smith, E. (2002). Computer-assisted language learning. In R. Carter & D. Nunan (Eds.), The Cambridge guide to teaching English to speakers of other languages. (pp. 107–113). UK: Cambridge University Press.

Janjić, M., Librenjak, S., & Kocijan, K. (2016). Croatian Students` Attitudes Towards Technology Usage in Teaching Asian Languages – a Field Research. Mipro proceedings 2016. Retrieved 11 September 2016, from

JLPT Japanese-Language Proficiency Test. (2016). Retrieved 11 September 2016, from

Kuo, M. (2008). Learner to teacher: EFL student teachers' perceptions on internet-assisted language learning and teaching. Online Submission. Education Resources Information Center.

Learning tools & flashcards, for free | Quizlet. (2016). Retrieved 11 September 2016, from

Mashhadizadeh D., & Rezvani, E. (2015). Iranian EFL learners' attitude towards the use of WBLL approach in writing. International Journal of Research Studies in Language Learning 5.

Materijali | MemAzija. (2016). Retrieved 11 September 2016, from

McLaren, A. E., & Bettinson, M. (2016). Digital Tools for Chinese Character Acquisition and Their Impact on Student Motivation. In R. Moloney & H. L. Xu (Eds.), Exploring Innovative Pedagogy in the Teachingand Learning of Chinese as a Foreign Language (pp. 235–251). Multilingual Education 15, DOI 10.1007/978-981-287-772-7_13.

Memrise – Learn something new every day. (2016). Memrise. Retrieved 11 September 2016, from

Rahimi M., & Yadollahi S. (2011). Foreign language learning attitude as a predictor of attitudes towards computer-assisted language learning. Procedia Computer Science, 3, 167–174.

Schmidt, R. & Watanabe, Y. (2001). Motivation, strategy use and pedagogical preferences in foreign language learning. In Z. Dörnyei & R. Schmidt (Eds.), Motivation and second language acquisition. Honolulu: University of Hawaii Second Language Teaching and Curriculum Center.

Simkova, M., Tomaskova, H., & Nemcova, Z. (2012). Mobile education in tools. Procedia – Social and Behavioral Sciences, 47, 10–13.

Skritter – Learn to Write Chinese and Japanese Characters. (2016). Retrieved 11 September 2016, from

Tam, V., & Huang, C. (2012). An intelligent e-learning software for learning to write correct Chinese characters on mobile devices. Interactive Technology and Smart Education, 9(4), 191–203.

The official website for comparing UK higher education course data – Unistats. (2016). Retrieved 11 September 2016, from when entered data for Japanese course (direct link not available).

TOPIK 한국어능력시험. (2016). Retrieved 11 September 2016, from

Yushau, B. (2006). The Effects of Blended Elearning on Mathematics and Computer Attitudesi. Pre-Calculus Algebra, The Montana Mathematics Enthusiast, 3(2), 176–183.

Warschauer, M., & Healey, D. (1998). Computers and language learning: An overview. Language Teaching, 31, 57–71.

Wiebe, G., & Kabata, K. (2010). Students' and instructors' attitudes toward the use of CALL in foreign language teaching and learning. Computer Assisted Language LearningI, 23(3), 221–234.



28. 12. 2016



Research articles (Project reports)

How to Cite

LIBRENJAK, S., KOCIJAN, K., & JANJIĆ, M. (2016). Improving Students’ Language Performance Through Consistent Use of E-Learning: An Empirical Study in Japanese, Korean, Hindi and Sanskrit. Acta Linguistica Asiatica, 6(2), 79-94.