The Role of Study Field and Gender in University Students’ Attitudes towards Computer-Assisted Language Learning

10th International Scientific Conference Technics, Informatics and Education – TIE 2024, str. 492-499

АУТОР(И) / AUTHOR(S): Lena Tica ,  Ivana Krsmanović , Neda Vidanović Miletić , Milica Stojković 

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DOI: 10.46793/TIE24.492T

САЖЕТАК /ABSTRACT:

Just as it has permeated all other aspects of modern life, technology has inevitably transformed the way English is taught and learned, making Computer-assisted Language Learning (CALL) an indispensable component of contemporary language education. This study explores Serbian university students’ attitudes toward CALL and examines whether these attitudes vary by field of study and gender, through an exploratory, mixed-method design, using a sample of 183 students from diverse academic disciplines. The findings reveal that university students generally hold positive attitudes towards CALL, with moderate to high mean scores for both internal and external factors related to ICT integration. This suggests a perceived benefit of ICT, particularly in enhancing classroom atmosphere and instructional practices. Contrary to expectations, no significant differences were found in attitudes towards CALL based on the field of study. Both technological/engineering and social sciences/humanities students displayed similar acceptance levels of ICT in English learning, indicating a uniform appreciation of ICT’s role across disciplines. Similarly, no significant differences were found in attitudes toward CALL based on gender, with the only notable difference being that female students showed a slightly higher appreciation for the external motivating role of ICT.

КЉУЧНЕ РЕЧИ / KEYWORDS: 

CALL; ELT; study field; gender; ICT tools.

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

This study was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia, and these results are parts of the Grant No. 451-03-66/ 2024-03/200132 with University of Kragujevac – Faculty of Technical Sciences Čačak.

ЛИТЕРАТУРА / REFERENCES

  1. Premsky, M. (2001). Digital Natives, Digital Immigrants. On the Horizon, 9(5).
  2. Garrett, N. (2009). Computer‐assisted language learning trends and issues revisited: integrating innovation. The Modern Language Journal, 93(s1), 719-740.
  3. Ali Ghufron, M. & Nurdianingsih, F. (2021). Flipped classroom method with computer-assisted language learning (CALL) in EFL writing class. International Journal of Learning, Teaching and Educational Research, 29(1), 120-141.
  4. Vasbieva G. D. & Saienko,V. N. (2018). Exploring students’ perception and efficiency of technology-mediated ESP teaching. Xlinguae, 11(1XL), 127-137.
  5. Tafazoli, D. (2021). Affordances of computer-assisted language learning in higher education: A qualitative inquiry. Lenguas Modernas, 58, 55-70.
  6. Levy, M. (1997). Computer-assisted language learning: Context and Conceptualization. Oxford: Clarendon Press.
  7. Beatty, K. (2003). Teaching and Researching Computer-Assisted Language Learning. New York: Longman. 
  8. https://www.oxfordbibliographies.com/display/document/obo-9780199756810/obo-9780199756810-0305.xml
  9. Hubbard, P. (2009). “General Introduction.” In Computer Assisted Language Learning, edited by Philip Hubbard, 1:1–20. Critical Concepts in Linguistics. London: Routledge.
  10. Singh, MSXP. (2015). The history and the current status of computer-assisted language learning. History Research Journal 5(4), 222-226.
  11. Tozcu, A., & Coady, J. (2004). Successful learning of frequent vocabulary through CALL also benefits reading comprehension and speed. Computer Assisted Language Learning, 17(5), 473–495. https://doi.org/10.1080/0958822042000319674
  12. Taj, H., Ali, F., Sipra, M. & Waqar, A. (2017). Effect of technology enhanced language learning on EFL reading comprehension at tertiary level. Arab World English Journal (AWEJ) 8(1), 108-129.
  13. Awada, G., Burston J. & Ghannage. R. (2020). Effect of student team achievement division through WebQuest on EFL students’ argumentative writing skills and their instructors’ perceptions. Computer Assisted Language Learning 33(3), 275-300. https://doi.org/10.1080/0 9588221.2018.155825
  14. Ulangkaya, Z. K. (2021). Computer assisted language learning (CALL) activities and the students’ English oral proficiency. Randwick International of Education and Linguistics Science Journal, 2(3), 307-314. https://doi.org/10.47175/rielsj.v2i3.301
  15. Habók, A., & Nguyen, L. A. T. (2024). A comparative study of language learners’ ICT attitudes and behavior pre- and post-COVID-19. Scientific reports, 14(1), 600. https://doi.org/10.1038/s41598-023-50872-0 
  16. Tica, L., & Krsmanović, I. (2024). Overcoming the writer’s block? Exploring Students’ motivation and perspectives on using Chat GPT as a writing assistance tool in ESP. ELOPE: English Language Overseas Perspectives and Enquiries, 21(1), 129-149. https://doi.org/10.4312/elope.21.1.129-149.
  17. Chen, B., Bao, L., Zhang, R., Zhang, J., Li, F., Wang, S., & Li, M. (2023). A multi-strategy computer-assisted EFL writing learning system with deep learning incorporated and its effects on learning: a writing feedback perspective. Journal of Educational Computing Research, 61(8), 60-102. https://doi.org/10.1177/07356331231189294
  18. Tafazoli, D. (2024). Critical appraisal of artificial intelligence-mediated communication in language education. In Bui, H.P., Kumar, R., & Kamila, N.K. (Eds.), Innovations and applications of technology in language education (pp. 62-97). Taylor & Francis. https://doi.org/10.1201/9781003473916
  19. Tafazoli, D. & Picard, M. (ed.). (2023). Handbook of CALL Teacher Education and Professional Development: Voices from Under-Represented Contexts. Springer Singapore
  20. Krsmanović, I. M. (2021). Engineering students’ attitudes towards computer-assisted language learning in EFL. Belgrade English Language and Literature Studies, 13(1), 93–121. https://doi.org/10.18485/bells.2021.13.4
  21. Cirkovic-Miladinovic, I. & Golubovic-Ilic, I. (2015). Innovating English teaching and learning of university students writing skills by using new technologies and CALL) computer-assisted language learning) principles. INTED2015 Proceedings, 6257-6266.
  22. Djordjevic, J. & Blagojevic, S. (2017). Project-based learning in computer-assisted language learning: an example from legal English. Nasledje, Kragujevac, 14(36), 247–259.
  23. Fishbein, M. & Ajzen, I. (1974). Attitudes towards objects as predictors of single and multiple behavioral criteria. Psychological Review, 81(1), 59-74.
  24. Batool, R., Dr. Faqir M. Aslam Rana, & Dr. Hafiz Muhammad Qasim. (2024). Investigating gender perceptions on technology use in Pakistan ELT classrooms: A survey-based study. International „Journal of Academic Research for Humanities“, 4(1), 58–63.
  25. Ngo, H. & Eichelberger, A. (2019). College students’ attitudes toward ICT Use for English learning. International Journal of Educationand Development using ICT, 15(1). Open Campus, The University of the West Indies, West Indies.
  26. Tafazoli, D., Gómez-Parra, M. E., & Huertas-Abril, C. A. (2020). Teachers’ Computer-assisted language learning (CALL) literacy: A comparative study in Spain and Iran. International Journal for 21st Century Education, 7(1), 3-18. https://doi.org/10.21071/ij21ce.v7i1.13220
  27. Ursini, S. & Sánchez, G. (2008). Gender, technology and attitude towards mathematics: a comparative longitudinal study with Mexican students. ZDM, 40(4), 559-577.
  28. Fančovičová, J. & Prokop, P. (2008). Students’ attitudes toward computer use in Slovakia. EURASIA Journal of Mathematics, Science and Technology Education, 4(3). https://doi.org/10.12973/ejmste/75347
  29. Scott, D., Zou, A., Jacob, S., Richardson, D. J., & Warschauer, M. (2023). Comparing boys’ and girls’ attitudes toward computer science. Journal of Computer Science Integration, 6(1), 1.
  30. Dresang, E. T., Gross, M., & Holt, L. (2007). New perspectives: an analysis of gender, net-generation children, and computers. Library Trends, 56(2), 360-386.
  31. Al-Emran, M., Elsherif, H. M. & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher Education. Computers in Human Behavior, 56, 93-102.
  32. Nagy, J. & Habók, A. (2018). Attitudes and behaviors related to individual and classroom practices: An empirical study of external and internal factors of ICT Use. Libri, 68(2), 113‒123.
  33. Nguyen, L. & Habók, A. (2022). Adaptation and validation of a computer-assisted language learning attitude questionnaire in a Vietnamese EFL context: A comparison between online and paper modes of administration. Heliyon 8(6)