• Ni Kadek Ayu Rinawati Universitas Pendidikan Ganesha Singaraja
  • I Nyoman Adi Jaya Putra Universitas Pendidikan Ganesha Singaraja



Code-switching, Online, Synchronous Learning, WhatsApp


The Covid-19 outbreak has "forced" face-to-face teaching and learning to be entirely online. This situation also affects prospective EFL teachers in conducting teaching practicums. This study aims to analyze prospective EFL teachers using code-switching in online discussions through WhatsApp group chats. Code-switching is a popular language feature commonly used in communication. Furthermore, this research aims to identify the types of code-switching according to Poplack's theory and to find out the code-switching function based on Sert's theory. This type of research is qualitative. The subjects of this study were six prospective EFL teachers and their students. Primary data was collected from online discussions of student teachers through their WhatsApp chat groups, and then the discussions were transcribed into transcripts. The technique used to analyze the data is descriptive qualitative and quantitative analysis. The first study's results in terms of types of code-switching revealed that all participants practiced code-switching in online teaching and learning through WhatsApp group chats. The discussion provides three types of code-switching based on Poplack's theory: tag-switching, inter-sentential switching, and intra-sentential switching. Furthermore, tag switching is often used in online discussions.


Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: the challenges and opportunities. In Interactive Learning Environments.

Al-Ajlan, A. (2015). The Comparison between Forward and Backward Chaining. International Journal of Machine Learning and Computing, 5(2), 106–113.

Amiti, F. (2020). Synchronous and asynchronous E-learning. European Journal of Open Education and E-Learning Studies, 5(2), 60–70.

Andrade, M. S., Evans, N. W., & Hartshorn, K. J. (2014). Linguistic support for non-native English speakers: Higher education practices in the United States. Journal of Student Affairs Research and Practice, 51(2).

Ataş, U., & Sağın-Şimşek, Ç. (2021). Discourse and educational functions of students’ and teachers’ code-switching in EFL classrooms in Turkey. Linguistics and Education, 65.

Atmojo, A. E. P., & Nugroho, A. (2020). EFL classes must go online! Teaching activities and challenges during COVID-19 pandemic in Indonesia. Register Journal, 13(1), 49–76.

Calvo, C., López-hortelano, M. G., Carlos, J., Vicente, D. C., Luis, J., Martínez, V., Pediatría, D., De, G., & Asociación, D. (2020). Recommendations on the clinical management of the COVID-19 infection by the (new coronavirus) SARS-CoV2. Clinical Management of Infection By, 92(4).

Chau, D., & Lee, C. (2021). “See you soon! ADD OIL AR!”: Code-switching for face-work in edu-social Facebook groups. Journal of Pragmatics, 184.

Chen, C.-H., & Tsai, C.-C. (2021). In-service teachers’ conceptions of mobile technology-integrated instruction: Tendency towards student-centered learning. Computers & Education, 170(1).

Chen, Y., Mayall, H. J., York, C. S., & Smith, T. J. (2019). Parental perception and English Learners’ mobile-assisted language learning: An ethnographic case study from a technology-based Funds of Knowledge approach. Learning, Culture and Social Interaction, 22.

Durani, V., Sullivan, B. J., & Magliery, T. J. (2012). Simplifying protein expression with ligation-free, traceless and tag-switching plasmids. Protein Expression and Purification, 85(1).

Fakhruddin, Z., Amzah, A., & Nurchalis, N. F. (2019). Technology-Based Teaching Material Development Training for Pre-Service Teachers to Improve Students’ Learning Outcomes. NOBEL: Journal of Literature and Language Teaching, 10(1), 87–102.

Fernandez, C. B., Litcofsky, K. A., & Hell, J. G. van. (2019). Neural correlates of intra-sentential code-switching in the auditory modality. Journal of Neurolinguistics, 51.

Ganji, S., Dhawan, K., & Sinha, R. (2020). Novel textual features for language modeling of intra-sentential code-switching data. Computer Speech & Language, 64.

Gosselin, L., & Sabourin, L. (2021). Lexical-semantic processing costs are not inherent to intra-sentential code-switching: The role of switching habits. Neuropsychologia, 159.

Hamed, I., Denisov, P., Li, C.-Y., & Elmahdy, M. (2022). Investigations on speech recognition systems for low-resource dialectal Arabic–English code-switching speech. Computer Speech & Language, 72.

Hogan, R., & Devi, M. (2019). A synchronous pedagogy to improve online student success. International Journal of Online Pedagogy and Course Design, 9(3), 61–77.

Hsieh, S. H., & Tseng, T. H. (2017). Playfulness in mobile instant messaging: Examining the influence of emoticons and text messaging on social interaction. Computers in Human Behavior, 69.

Huang, X., Dedegikas, C., & Walls, J. (2011). Using multimedia technology to teach Modern Greek Language online in China: Development, implementation and evaluation. European Journal of Open, Distance and E-Learning, 1, 1–9.

Ika Febriandari, E. (2019). Penanaman Nilai Karakter Gemar Membaca Berbasis Pembiasaan Dan Keteladanan Terhadap Kemampuan Berbahasa Siswa Sekolah Dasar. AL-MUDARRIS, 2(2), 211.

Kassim, M., & Idris, A. (2018). Multimedia Project on Website Development Using Dreamweaver and Publish Domain Among Engineering Students. International E-Journal of Advances in Education, IV(12), 983–993.

Kheder, S., & Kaan, E. (2021). Cognitive control in bilinguals: Proficiency and code-switching both matter. Cognition, 29.

Khotimah, K., Widiati, U., Mustofa, M., & Ubaidillah, M. F. (2019). Autonomous English learning: Teachers’ and students’ perceptions. Indonesian Journal of Applied Linguistics, 9(2).

Kiernan, J. E. (2020). Pedagogical commentary: Teaching through a pandemic. Social Sciences & Humanities Open, 2(1), 100071.

Kim, G., Kim, S., Park, M., Park, Y., Lee, I., & Kim, J. (2021). Forensic analysis of instant messaging apps: Decrypting Wickr and private text messaging data. Forensic Science International: Digital Investigation, 37.

Koban, D. (2013). Intra-sentential and Inter-sentential Code-switching in Turkish-English Bilinguals in New York City, U.S. Procedia - Social and Behavioral Sciences, 70.

Lage-Cala, S., Folgueras-Díaza, M. B., Alonso-Hidalgoa, M., García-Menéndezb, D., & Fernández-Garcíab, F. J. (2020). Investigation of the effectiveness of online learning tools for energy performance certificates preparation. Energy Reports, 6, 609–614.

Laksana, D. N. L., Dasna, I. W., & Degeng, I. N. S. (2019). The effects of inquiry-based learning and learning styles on primary school students’ conceptual understanding in multimedia learning environment. Journal of Baltic Science Education.

López, K. M. J. de, Feilberg, J., Baena, S., Lyons, R., & Lyons, R. (2021). “So, I told him to look for friends!” Barriers and protecting factors that may facilitate inclusion for children with Language Disorder in everyday social settings: Cross-cultural qualitative interviews with parents. Research in Developmental Disabilities, 115.

Marcu, N. A. (2020). Designing Functional ESP (English for Specific Purposes) Courses. Procedia Manufacturing, 46.

Mershad, K., & Wakim, P. (2018). A Learning Management System Enhanced with Internet of Things Applications. Journal of Education and Learning, 7(3), 23.

Pérez, A., & Duñabeitia, J. A. (2019). Speech perception in bilingual contexts: Neuropsychological impact of mixing languages at the inter-sentential level. Journal of Neurolinguistics, 51.

Ran, W., & Jinglu, L. (2020). The Design and Development of Digital Books for E-learning. 2020 4th International Conference on Artificial Intelligence and Virtual Reality, 51–55.

Rhim, H. C., & Han, H. (2020). Teaching online: foundational concepts of online learning and practical guidelines. Korean Journal of Medical Education, 32(3), 175–183.

Rossi, E., Dussias, P. E., Diaz, M., Hell, J. G. van, & Newman, S. (2021). Neural signatures of inhibitory control in intra-sentential code-switching: Evidence from fMRI. Journal of Neurolinguistics, 57.

Sari, I., Sinaga, P., Hernani, & Solfarina. (2020). Chemistry Learning via Distance Learning during the Covid-19 Pandemic. TADRIS (Journal of Education and Teacher Training), 5(1).

Setiawan, I. M. D., & Ari Oka, I. D. G. (2020). The Use of Audio-Visual Assisted Google Classroom for Mathematics Course. Journal of Education Technology, 4(3), 244.

Soleimani, E., Ismail, K., & Mustaffa, R. (2014). The Acceptance of Mobile Assisted Language Learning (MALL) among Post Graduate ESL Students in UKM. Procedia - Social and Behavioral Sciences, 118.

Wu, T., Fu, F., Zhang, Y., & Wang, L. (2017). Adaptive tag switching reinforces the coevolution of contingent cooperation and tag diversity. Journal of Theoretical Biology, 330.

Yacovone, A., Moya, E., & Snedeker, J. (2021). Unexpected words or unexpected languages? Two ERP effects of code-switching in naturalistic discourse. Cognition, 215.

Yaw, Z., Zhou, W., Chen, Z., & Lim, C. W. (2021). Stiffness tuning of a functional-switchable active coding elastic metasurface. International Journal of Mechanical Sciences, 207.

Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID‑19 pandemic. International Journal of Educational Technology in Higher Education, 18(1), 1–17.

Yuan, C.-H., & Wu, Y. J. (2020). Mobile instant messaging or face-to-face? Group interactions in cooperative simulations. Computers in Human Behavior, 113.

Zarkasi, Z., & Taufik, A. (2019). Implementasi Pembelajaran Fikih Berbasis Multimedia Interaktif Macro-Enabled untuk Meningkatkan Keaktifan Siswa. SYAMIL: Jurnal Pendidikan Agama Islam (Journal of Islamic Education), 7(2), 169–188.

Zein, S., Sukyadi, D., Hamied, F. A., & Lengkanawati, N. S. (2020). English language education in Indonesia: A review of research (2011–2019). Language Teaching, 53(4), 491–523.

Zhu, X., Lou, Y., Deng, H., & Ji, D. (2021). Leveraging bilingual-view parallel translation for code-switched emotion detection with adversarial dual-channel encoder. Knowledge-Based Systems, 1.