Restu Januarty Hamid
Bosowa University, Indonesia

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Bridging Technology and Pedagogy: A Qualitative Study of Deep Learning-Based Hybrid Learning in English for Business Restu Januarty Hamid; Rampeng Rampeng; Rosmawati Abdul Maing; Asdar Asdar
Jo-ELT (Journal of English Language Teaching) Fakultas Pendidikan Bahasa & Seni Prodi Pendidikan Bahasa Inggris IKIP Vol. 12 No. 2 (2025)
Publisher : Faculty of Culture, Management, and Business Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jo-elt.v12i2.16014

Abstract

This study investigates how deep learning–based artificial intelligence (AI) can effectively support hybrid learning in English for Business courses. In response to rapid technological change in higher education, the research explores how digital tools can complement human teaching and learning. Using a qualitative case study design, data were collected from 10 lecturers and 15 students through interviews, classroom observations, and document analysis. The findings reveal that AI-enabled features, such as personalized learning paths, instant feedback, and gamified activities, enhanced students’ motivation, supported self-paced learning, and improved awareness of individual strengths and weaknesses. However, participants also reported challenges, including limited digital literacy, unstable internet access, and difficulty managing multiple platforms. Importantly, both lecturers and students emphasized that human interaction remains crucial, with real-time discussion, collaborative activities, and instructor guidance playing key roles in developing confidence and business communication skills. The study concludes that successful AI-enhanced hybrid learning requires not only technological innovation but also strong institutional support and thoughtful pedagogical practice. AI should be viewed as a complementary tool rather than a replacement for the human connections essential to meaningful language learning.
Integrating Project-Based Learning and Deep Learning Principles to Foster Speaking Fluency and Critical Thinking in EFL Rampeng Rampeng; Restu Januarty Hamid; Rosmawati Abdul Maing; Sujariati Sujariati
Jo-ELT (Journal of English Language Teaching) Fakultas Pendidikan Bahasa & Seni Prodi Pendidikan Bahasa Inggris IKIP Vol. 12 No. 2 (2025)
Publisher : Faculty of Culture, Management, and Business Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jo-elt.v12i2.17578

Abstract

This study investigates how integrating Project-Based Learning (PBL) with deep learning principles can simultaneously improve speaking fluency and critical thinking among Indonesian EFL learners. Recognizing that these two competencies are mutually reinforcing yet rarely taught together, a Project-Based Deep Learning (PBDL) model was implemented across three educational institutions involving 180 students. The study employed a quasi-experimental design to examine the model’s impact on learners’ oral performance and analytical reasoning. Findings revealed substantial improvements in both speaking fluency and critical thinking, with the strongest gains observed in discourse management and analytical reasoning. More importantly, students who engaged in authentic, problem-driven projects and received iterative feedback demonstrated greater confidence, coherence, and reflective judgment in communication tasks. These outcomes suggest that PBDL not only enhances linguistic proficiency but also fosters deeper cognitive engagement, helping learners connect language use with reasoning and decision-making. The study provides empirical and practical insights for EFL teachers, emphasizing that authentic tasks, collaboration, and structured reflection can transform traditional classrooms into active learning environments that cultivate integrated 21st-century skills.