Integrating Deep Learning into English Teaching: Developing Students' Skills at Senior High School
DOI:
https://doi.org/10.24256/ideas.v13i2.8676Keywords:
Deep Learning (DL); English Language Teaching (ELT); Kurikulum Merdeka; Student SkillsAbstract
This case study was conducted to discuss the limitations of the pedagogical implementation of deep learning (DL) in English language teaching (ELT) in Indonesian high schools. The purpose of this study was to theoretically explore how the pedagogical application of deep learning is conceptualized in English language classrooms and how it contributes to the development of students' learning skills, with Senior High Schoolas the research object. Using a qualitative case study design, senior high school teachers (T=3) and students (S=42) were the study subjects. The main data were collected through semi-structured interviews with English teachers and supported by structured interviews given to 11th-grade students whose learning process had been implemented by deep learning. The findings indicated that deep learning contributes positively to the development of students' skills. Deep learning is an educational process that creates meaningful learning through real-world experiences. Teachers use interactive techniques, such as problem-solving and project-based learning, which are interspersed with traditional methods, including jigsaw. The results show that each individual experienced some improvement in their language skills, such as speaking, reading, and several other skills, through learning by applying teamwork, project-based learning, problem analysis, and creative expression skills. Additionally, several challenges related to its integration were identified. These have been identified to maximize the application of deep learning in English language teaching (ELT) and improve student learning skills (SLS) in Indonesia. This study concludes that institutional support, professional development for teachers, and improved digital literacy are still greatly needed and must be implemented consistently.
References
Bachtiar, Zuhairi, A., Puspitasari, M., & Sylvia. (2025). DEEP LEARNING APPROACH IN ENGLISH LANGUAGE TEACHING: DOES IT MATTER A LOT? Jurnal BUDIMAS, 07(02), 2025.
Bani, M., & Masruddin, M. (2021). Development of Android-based harmonic oscillation pocket book for senior high school students. JOTSE: Journal of Technology and Science Education, 11(1), 93-103.
Benu, N. N., Beeh, N., & Nenotek, S. A. (2025). IMPLEMENTING DEEP LEARNING IN THE EFL CLASSROOM: STRATEGIES FOR FOSTERING MINDFUL, MEANINGFUL, AND JOYFUL LANGUAGE LEARNING. LedTure Journal on Language, 3(1). https://doi.org/10.33323/l.v3i1.64
Biggs, J., & Tang, C. (2011). Teaching for Quality Learning at University Fourth Edition (4th ed.). McGraw-Hill Education. www.openup.co.uk
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology , 77–101.
Fan, K., & Long, L. (2024). Enhancing High School English Listening and Speaking Skills: A Deep Learning Approach Aligned with Core Competences. Pacific International Journal, 7(4), 70–78. https://doi.org/10.55014/pij.v7i4.654
Fullan, M., Quinn, J., & Mceachen, J. (2018). Praise for Deep Learning: Engage the World Change the World. Arnis Burvikovs.
Furwana, D., Muin, F. R., Zainuddin, A. A., & Mulyani, A. G. (2024). Unlocking the Potential: Exploring the Impact of Online Assessment in English Language Teaching. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 12(1), 653-662.
Ghafar, Z. N., Salh, H. F., Abdulrahim, M. A., Farxha, S. S., Arf, S. F., & Rahim, R. I. (2023). The Role of Artificial Intelligence Technology on English Language Learning: A Literature Review. Canadian Journal of Language and Literature Studies, 3(2). https://doi.org/10.53103/cjlls.v3i2.87
Indahtriyani, O. E. (2025). DEEP LEARNING CURRICULUM IN ENGLISH LANGUAGE TEACHING: A CASE STUDY AT SMK NEGERI 1 BENGKAYANG. ELSA JOURNAL: Englsih Language Studies and Applaied Linguistics Journal, 6(1).
Jiang, R. (2022). Understanding, Investigating, and promoting deep learning in language education: A survey on chinese college students’ deep learning in the online EFL teaching context. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2022.955565
Kovač, V. B., Nome, D., Jensen, A. R., & Skreland, L. L. (2025). The why, what and how of deep learning: critical analysis and additional concerns. Education Inquiry, 16(2), 237–253. https://doi.org/10.1080/20004508.2023.2194502
Modrek, A. S. (2025). Deeper learning offers opportunities for imagination without cost to content knowledge. Thinking Skills and Creativity, 58. https://doi.org/10.1016/j.tsc.2025.101926
Noble, H., & Heale, R. (2019). Triangulation in research, with examples. In Evidence-Based Nursing (Vol. 22, Issue 3, pp. 67–68). BMJ Publishing Group. https://doi.org/10.1136/ebnurs-2019-103145
Qu, C., & Li, Y. (2022). Oral English Auxiliary Teaching System Based on Deep Learning. Advances in Multimedia, 2022. https://doi.org/10.1155/2022/4109663
Rahimi, A. R., & Sevilla-Pavón, A. (2024). A pathway from surface to deep online language learning approach: The crucial role of online self-regulation. Acta Psychologica, 251. https://doi.org/10.1016/j.actpsy.2024.104644
Safira, S., & Astuti, P. (2025). Conceptualizing the Implementation of Deep Learning in ELT through Cooperative Learning for Teaching Speaking Skills at the High School Level (Vol. 42, Issue 2). https://journal.unnes.ac.id/journals/JPP
Sari, A. W., & Niswa, K. (2025). Implementation of Deep Learning Approach to English Learning in Elementary School. IDEAS Journal of Language Teaching and Learning, Linguistics and Literature, 13(1), 1254–1263. https://doi.org/10.24256/ideas
Shi, H., & Lan, P. (2024). Exploring the factors influencing high school students’ deep learning of English in blended learning environments. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1339623
Subiyantoro, S., Zain Musa, M., & Efendi, A. (2024). Preparing Indonesian Primary School Teachers for Deep Learning: Readiness, Challenges, and Institutional Support. In Cognitive Development Journal (Vol. 2, Issue 2).
Yaguarema, M., Jimmy Zambrano, R., & Salavarría, M. (2022). Analysis of the Deep Learning Strategies Questionnaire with Ecuadorian students. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.1004874
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
Zeng, X. (2025). Analyzing the learning behavior patterns of business english learners using deep learning technology. Systems and Soft Computing, 7. https://doi.org/10.1016/j.sasc.2025.200259
Zhou, S., Fung, D., & Thomas, N. (2025). Towards deeper learning in EMI lectures: the role of English proficiency and motivation in students’ deep processing of content knowledge. Journal of Multilingual and Multicultural Development, 46(7), 1749–1764. https://doi.org/10.1080/01434632.2023.2248078
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