Technology-Enabled Language Leaning: Mediating Role of Collaborative Learning

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Abstract

Background. Technology-Enabled Language learning (TELL) encourages peer communication and collaboration through its innovative instructional methods. Collaborative student activities are recognised as an important component of the instructional approach of higher education, More recently, collaborative learning in conjunction with digital teaching tools has emerged as a preferred SLA pedagogical approach. Despite growing interest in TELL, research into the effects of collaborative learning on affective factors in SLA remains unexplored.

Purpose. The aim of the proposed study is to identify factors influencing the behavioral intention of students to use WhatsApp for second language acquisition. Constructs from previous models: performance expectancy, effort expectancy, and perceived relevance (UTAUT) are tested, along with the mediating role of a new variable ‘collaborative learning’.

Methods. Using the convenience sampling technique, the sample comprises 202 undergraduates studying in Institutes in Rajasthan, India. Data collected through Google forms was analyzed through IBM SPSS ver. 26 and Smart-PLS ver. 3.2.9, using structural equation modeling.

Results. A positive and significant relationship was established between all the selected constructs. The indirect effects were positive, yet less significant than the direct effects. Moreover, the partially mediating effect of collaborating learning was affirmed. Empirical data confirms that collaborative learning acts as a mediating variable enhancing the intention to use WhatsApp for SLA.

Conclusion. The present study makes an original and innovative contribution to language studies by analysing the relationship between the predictors. Such a systematic understanding of the topic can assist instructors in designing robust future pedagogical techniques.

About the authors

D. J Kaur

Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India

Author for correspondence.
Email: divyajyotdjk@gmail.com

N. Saraswat

Malaviya National Institute of Technology, Jaipur, India

Email: niraja.hum@mnit.ac.in

I. Alvi

Rajasthan Technical University, Kota, India

Email: irumalvi@gmail.com

References

  1. Abu-Al-Aish, A., & Love, S. (2013). Factors influencing students' acceptance of m-learning: An investigation in higher education.International Review of Research in Open and Distance Learning, 14(5), 82-107. DOI: https://doi.org/10.19173/irrodl.v14i5.1631
  2. Acharya, S., and Ganesan, P. (2019). Factors that affect students' intention and use of technology: An assessment of UTAUT2 in the context of YouTube video forwarding behaviour.International Journal of Business and Emerging Markets, 11, 348-367. DOI: https://doi.org/10.1504/ijbem.2019.105231
  3. Alismaiel, O. A., Cifuentes-Faura, J., & Al-Rahmi, W. M. (2022). Social media technologies used for education: An empirical study on TAM model during the COVID-19 pandemic. Frontiers in Education, 7. DOI: https://doi.org/10.3389/feduc.2022.882831
  4. Avci, U., & Askar, P. (2012). The comparison of the opinions of the university students on the usage of blog and wiki for their courses. Educational Technology and Society, 15(2), 194-205.
  5. Bagozzi, R. P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607-627. DOI: https://doi.org/10.1037/0022-3514.41.4.607
  6. Botero, G. G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018). Acceptance and usage of mobile assisted language learning by higher education students. Journal of Computing in Higher Education, 30(3), 426-451. DOI: https://doi.org/10.1007/s12528-018-9177-1
  7. Bui, T. X. T., Ha, Y. N., Nguyen, T. B. U., Nguyen, V. U. T., & Ngo, T. C. T. (2021). A study on collaborative online learning among EFL students in van lang university (VLU). AsiaCALL. 12, 9-21.
  8. Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210. DOI: https://doi.org/10.1086/209158
  9. Cetinkaya, L., & Sutcu, S. S. (2019). Students' success in English vocabulary acquisition through multimedia annotations sent via whatsapp. Turkish Online Journal of Distance Education, 20(4), 85-98. DOI: https://doi.org/10.17718/TOJDE.640517
  10. Çetinkaya, L., & Sütçü, S. S. (2018). The effects of Facebook and WhatsApp on success in English vocabulary instruction. Journal of Computer Assisted Learning, 34(5), 504-514. DOI: https://doi.org/10.1111/jcal.12255
  11. Chen Hsieh, J. (2022). Multimodal digital storytelling presentations among middle-school learners of English as a foreign language: Emotions, grit and perceptions. RELC Journal, 500. DOI: https://doi.org/10.1177/00336882221102233
  12. Church, K., & De Oliveira, R. (2013). What's up with WhatsApp? Comparing mobile instant messaging behaviors with traditional SMS. MobileHCI 2013 - Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services (352-361). Germany-Association for Computing Machinery. DOI: https://doi.org/10.1145/2493190.2493225
  13. Dashkina, A., Kobicheva, A., Lazovskaya, T., Tokareva, E., Tarkhov, D., & Guselnikova, I. (2022). Examining the effectiveness of computer-supported collaborative learning for language proficiency purposes. Sustainability, 14(10), 5908. DOI: https://doi.org/10.3390/su14105908
  14. Deraman, R., Wang, C., Yap, J. B. H., Li, H., & Mohd-Rahim, F. A. (2019). Developing internet online procurement frameworks for construction firms. Future Internet, 11(6), 1-22. DOI: https://doi.org/10.3390/FI11060136
  15. Divjak, B., Rienties, B., Iniesto, F., Vondra, P., & Žižak, M. (2022). Flipped classrooms in higher education during the COVID-19 pandemic: Findings and future research recommendations.International Journal of Educational Technology in Higher Education, 19(1). DOI: https://doi.org/10.1186/s41239-021-00316-4
  16. Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-Examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734. DOI: https://doi.org/10.1007/s10796-017-9774-y
  17. Escobar-Rodríguez, T., Carvajal-Trujillo, E., & Monge-Lozano, P. (2014). Factors that drive students to use facebook as a learning tool. An extension of the UTAUT. IX Jornada De Docencia En Contabilidad Buenas Practicas Docentes En Materia Contable Dentro Del Eees (pp. 135-152). Copicentro S. L.
  18. Escobar-Rodríguez, T., Carvajal-Trujillo, E., & Monge-Lozano, P. (2014). Factors that influence the perceived advantages and relevance of Facebook as a learning tool: An extension of the UTAUT. Australasian Journal of Educational Technology, 30(2), 136-151. DOI: https://doi.org/10.14742/ajet.585
  19. Fischer, I. D., & Yang, J. C. (2022). Flipping the flipped class: using online collaboration to enhance EFL students' oral learning skills.International Journal of Educational Technology in Higher Education, 19(1). DOI: https://doi.org/10.1186/s41239-022-00320-2
  20. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. DOI: https://doi.org/10.2307/3151312
  21. Fouz-González, J. (2017). Pronunciation instruction through Twitter: The case of commonly mispronounced words.Computer Assisted Language Learning, 30(7), 631-663. DOI: https://doi.org/10.1080/09588221.2017.1340309
  22. Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107. DOI: https://doi.org/10.2307/2334290
  23. González-Ibáñez, R., Escobar-Macaya, M., & Manriquez, M. (2016). Using low-cost electroencephalography (EEG) sensor to identify perceived relevance on web search. Proceedings of the Association for Information Science and Technology, 53(1), 1-5. DOI: https://doi.org/10.1002/pra2.2016.14505301146
  24. Güler, Ç. (2017). Use of WhatsApp in higher education: What's up with assessing peers anonymously? Journal of Educational Computing Research, 55(2), 272-289. DOI: https://doi.org/10.1177/0735633116667359
  25. Haugland, M. J., Rosenberg, I., & Aasekjær, K. (2022). Collaborative learning in small groups in an online course - A case study. BMC Medical Education, 22(1), 1-10. DOI: https://doi.org/10.1186/s12909-022-03232-x
  26. Heflin, H., Shewmaker, J., & Nguyen, J. (2017). Impact of mobile technology on student attitudes, engagement, and learning.Computers and Education, 107, 91-99. DOI: https://doi.org/10.1016/j.compedu.2017.01.006
  27. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. DOI: https://doi.org/10.1007/s11747-014-0403-8
  28. Herrera-Pavo, M. Á. (2021). Collaborative learning for virtual higher education. Learning, Culture and Social Interaction, 28, 100437. DOI: https://doi.org/10.1016/j.lcsi.2020.100437
  29. Iqbal, S., & Qureshi, I. A. (2012). M-learning adoption: A perspective from a developing country.International Review of Research in Open and Distance Learning, 13(3), 147-164. DOI: https://doi.org/10.19173/irrodl.v13i3.1152
  30. Jafari, S., & Chalak, A. (2016). The role of WhatsApp in teaching vocabulary to Iranian EFL learners at junior high school. English Language Teaching, 9(8), 85. DOI: https://doi.org/10.5539/elt.v9n8p85
  31. James, M., Baptista, A. M. T., Barnabas, D., Sadza, A., Smith, S., Usmani, O., & John, C. (2022). Collaborative case-based learning with programmatic team-based assessment: A novel methodology for developing advanced skills in early-years medical students. BMC Medical Education, 22(1), 1-12. DOI: https://doi.org/10.1186/s12909-022-03111-5
  32. Kale, E., Aknar, A., & Başar, Ö. (2019). Absorptive capacity and firm performance: The mediating role of strategic agility.International Journal of Hospitality Management, 78, 276-283. DOI: https://doi.org/10.1016/j.ijhm.2018.09.010
  33. Kaur, D. J., Saraswat, N., & Alvi, I. (2021). Exploring the effects of blended learning using WhatsApp on language learners' lexical competence.Rupkatha Journal on Interdisciplinary Studies in Humanities, 13(4), 1-17. DOI: https://doi.org/10.21659/rupkatha.v13n4.60
  34. Ko, E. G., & Lim, K. Y. (2022). Promoting English learning in secondary schools: Design-Based research to develop a mobile application for collaborative learning. Asia-Pacific Education Researcher, 31(3), 307-319. DOI: https://doi.org/10.1007/s40299-021-00562-0
  35. Lave, J., & Wenger, E. (1994). Situated learning: Legitimate peripheral participation. American Ethnologist, 21(4), 918-919. DOI: https://doi.org/10.1525/ae.1994.21.4.02a00340
  36. Lee, W. W. S., & Yang, M. (2020). Effective collaborative learning from Chinese students' perspective: A qualitative study in a teacher-training course. Teaching in Higher Education, 24, 1-17. DOI: https://doi.org/10.1080/13562517.2020.1790517
  37. Lin, S., Zimmer, J. C., & Lee, V. (2013). Podcasting acceptance on campus: The differing perspectives of teachers and students.Computers and Education, 68, 416-428. DOI: https://doi.org/10.1016/j.compedu.2013.06.003
  38. Martinho, D. S., Santos, E. M., Miguel, M. I., & Cordeiro, D. S. (2018). Factors that influence the adoption of postgraduate online courses.International Journal of Emerging Technologies in Learning, 13, 123-141. DOI: https://doi.org/10.3991/ijet.v13i12.8864
  39. Mellati, M., Khademi, M., & Abolhassani, M. (2018). Creative interaction in social networks: Multi-synchronous language learning environments. Education and Information Technologies, 23(5), 2053-2071. DOI: https://doi.org/10.1007/s10639-018-9703-9
  40. Miguel, E., & Carney, W. (2022). Foreign language acquisition anxiety and project-based learning in collaborative L2 instruction: A case study. Theory and Practice in Language Studies, 12(1), 1-6. DOI: https://doi.org/10.17507/tpls.1201.01
  41. Mistar, I., & Embi, M. A. (2016). Students' perception on the use of Whatsapp as a learning tool in ESL classroom. Journal of Education and Social Sciences, 4, 96-104.
  42. Mofareh, A. (2019). The use of technology in English language teaching. Frontiers in Education Technology, 2(3), 168. DOI: https://doi.org/10.22158/fet.v2n3p168
  43. Naveed, Q. N., Alam, M. M., & Tairan, N. (2020). Structural Equation Modeling for mobile learning acceptance by university students: An empirical study. Sustainability, 12(20), 8618. DOI: https://doi.org/10.3390/su12208618
  44. Pietarinen, T., Palonen, T., & Vauras, M. (2021). Guidance in computer-supported collaborative inquiry learning: Capturing aspects of affect and teacher support in science classrooms.International Journal of Computer-Supported Collaborative Learning, 1-27. DOI: https://doi.org/10.1007/s11412-021-09347-5
  45. Plana, M. G., Hopkins, J. E., Plana, M. G., & Appel, C. (2013). Improving learners ' reading skills through instant short messages: A sample study using WhatsApp. IV World CALL Conference on Global Perspectives on Computer-Assisted Language Learning (pp. 10-13). WorldCALL.
  46. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. DOI: https://doi.org/10.3758/BRM.40.3.879
  47. Rahmi, B. A. K. I, and Birgören, B. (2020). Analysis of the studies on e-learning acceptance of learners in the Middle East and the proposal of an extended technology acceptance model. Kastamonu E˘gitim Dergisi, 28, 1977-1986. DOI: https://doi.org/10.24106/kefdergi.4169
  48. Rambe, P., & Bere, A. (2013). Using mobile instant messaging to leverage learner participation and transform pedagogy at a South African University of Technology. British Journal of Educational Technology, 44(4), 544-561. DOI: https://doi.org/10.1111/bjet.12057
  49. Rambe, P., & Chipunza, C. (2013). Using mobile devices to leverage student access to collaboratively-generated resources: A case of WhatsApp instant messaging at a South African University.International Conference on Advanced Information and Communication Technology for Education (ICAICTE). Atlantis Press. DOI: https://doi.org/10.2991/icaicte.2013.66
  50. Ramírez, R. R., & Palos-Sánchez, P. R. (2018). Environmental firms' better attitude towards nature in the context of corporate compliance. Sustainability (Switzerland), 10(9). DOI: https://doi.org/10.3390/su10093321
  51. Scherer, R., Siddiq, F., and Tondeur, J. (2019). The technology acceptance model (TAM): a meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education.Computers and Education, 128, 13-35. 10.1016/j.compedu.2018.0 9.009. DOI: https://doi.org/10.1016/j.compedu.2018.09.009
  52. Sharifi, M., Rostami AbuSaeedi, A. A., Jafarigohar, M., & Zandi, B. (2018). Retrospect and prospect of computer assisted English language learning: a meta-analysis of the empirical literature.Computer Assisted Language Learning, 31(4), 413-436. DOI: https://doi.org/10.1080/09588221.2017.1412325
  53. Sharma, A., & Alvi, I. (2021). Evaluating pre and post COVID 19 learning: An empirical study of learners ' perception in higher education. Education and Information Technologies. DOI: https://doi.org/10.1007/s10639-021-10521-3
  54. Sixto-García, J., & Duarte-Melo, A. (2020). Self-destructive content in university teaching: New challenge in the digital competence of educators.Communication & Society, 33(3), 187-199. DOI: https://doi.org/10.15581/003.33.3.187-199
  55. Soria, S., Gutiérrez-Colón, M., & Frumuselu, A. D. (2020). Feedback and mobile instant messaging: Using whatsapp as a feedback tool in EFL.International Journal of Instruction, 13(1), 797-812. DOI: https://doi.org/10.29333/iji.2020.13151a
  56. Stöhr, C., Demazière, C., & Adawi, T. (2020). The polarizing effect of the online flipped classroom.Computers & Education, 147, 103789. DOI: https://doi.org/10.1016/j.compedu.2019.103789
  57. Sun, Y., & Gao, F. (2019). An investigation of the influence of intrinsic motivation on students' intention to use mobile devices in language learning. Educational Technology Research and Development, 68(3), 1181-1198. DOI: https://doi.org/10.1007/s11423-019-09733-9
  58. Tan, P. J. B. (2013). Applying the UTAUT to understand factors affecting the use of English e-learning websites in Taiwan. SAGE Open, 3(4). DOI: https://doi.org/10.1177/2158244013503837
  59. Toyama, M., & Yamazaki, Y. (2021). Classroom interventions and foreign language anxiety: A systematic review with narrative approach. Frontiers in Psychology, 12(80), 13-25. DOI: https://doi.org/10.1080/09588221.2018.1557692
  60. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425-478. DOI: https://doi.org/10.2307/30036540
  61. Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118. DOI: https://doi.org/10.1111/j.1467-8535.2007.00809.x
  62. Webb, M., & Doman, E. (2020). Impacts of flipped classrooms on learner attitudes towards technology-enhanced language learning.Computer Assisted Language Learning, 33(3), 240-274. DOI: https://doi.org/10.1080/09588221.2018.1557692
  63. Yueh, H. P., Huang, J. Y., & Chang, C. (2015). Exploring factors affecting students' continued Wiki use for individual and collaborative learning: An extended UTAUT perspective. Australasian Journal of Educational Technology, 31(1), 16-31. DOI: https://doi.org/10.14742/ajet.170
  64. Zhampeissova, K., Kosareva, I., & Borisova, U. (2020). Collaborative mobile learning with smartphones in higher education.International Journal of Interactive Mobile Technologies (IJIM), 14(21), 4. DOI: https://doi.org/10.3991/ijim.v14i21.18461
  65. Zhang, R., Zou, D., Cheng, G., & Xie, H. (2022). Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges. Education and Information Technologies, 27, 8041-8069. DOI: https://doi.org/10.1007/s10639-022-10941-9

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