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Journal : IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature

Integrating Deep Learning into English Teaching: Developing Students' Skills at Senior High School Pramudya, Shinta Ayu; M Rikza Chamami; Awwalia Fitrotin Izza
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 2 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Universitas Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i2.8676

Abstract

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.
Memrise and the Pursuit of Proficiency: A Phenomenological Study on Students' Experiences and Independent Learning Strategies for TOEFL Vocabulary Rahayu, Dimitria; Awwalia Fitrotin Izza
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 2 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Universitas Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i2.8711

Abstract

This phenomenological study investigated the lived vocabulary learning experiences of seven high-stakes TOEFL candidates (N=7) who used the Memrise Spaced Repetition System (SRS) app. Through Interpretive Phenomenological Analysis (IPA), the study confirmed that while gamified features offer strong structural support for consistency and efficient recognition-based memorization, the learning process is structurally incomplete within the app. The central finding is a persistent recognition–production gap, meaning vocabulary learned passively in the app fails to transfer directly to the active, contextual production required by the TOEFL exam. Success, therefore, hinged on learners' active, metacognitive effort and the implementation of external compensatory strategies, such as dedicated sentence journaling and custom course creation. These findings suggest the motivational benefits of gamification are conditional and can risk a focus on volume over learning quality. Results have significant implications for Mobile Assisted Language Learning (MALL) design, calling for integrated features that foster contextual application. Ultimately, this work benefits app designers, language teachers, and autonomous learners by specifying the structural and metacognitive requirements for effective vocabulary learning via SRS applications.