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Building a Research Ecosystem Based on Collaboration among ELT Students for Sustainable Technological Innovation Fadillah, Ega Nur; Huda, Nuha Nabila
Return : Study of Management, Economic and Bussines Vol. 4 No. 12 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i12.441

Abstract

This research aimed to formulate a research ecosystem model based on collaboration among ELT students that can foster innovation in the field of sustainable technology. Using a qualitative-descriptive approach, data were collected through literature studies, surveys, and in-depth interviews with students and education experts. The results showed that a collaborative research ecosystem involving ELT students across disciplines and institutions can enhance students’ innovation capacity and research skills while strengthening local technological competitiveness. Constraints in the development of this ecosystem include limited infrastructure support and resources, which can be addressed through educational policies that promote inter-campus collaboration and improve research facilities. This study concluded that building a research ecosystem based on ELT student collaboration is an effective strategy for fostering sustainable technological innovation and provides recommendations for universities and the government to facilitate the creation of an ecosystem that supports research collaboration. The findings imply that institutional commitment and cross-disciplinary synergy are crucial for translating student-led research into impactful, real-world sustainable solutions.
When Feedback Must Be Human: Pedagogical Resistance to AI in EFL Speaking Classrooms Fadillah, Ega Nur; Ahad, Uwaimir
DUTIES: Education and Humanities International Journal Vol. 2 No. 1 (2026): DUTIES: Education and Humanities International Journal
Publisher : CV. Akademi Merdeka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70152/duties.v2i1.314

Abstract

The rapid advancement of artificial intelligence (AI) has intensified debates about its role in language education, particularly in providing automated feedback. While existing research has largely focused on teachers’ acceptance and use of AI tools, limited attention has been given to teachers’ deliberate decisions not to use AI in specific pedagogical contexts. This qualitative study investigates EFL teachers’ pedagogical resistance to AI-mediated oral feedback in speaking classrooms. Drawing on in-depth semi-structured interviews and reflective accounts from EFL teachers, the study employs thematic analysis to explore how teachers explain their resistance and the pedagogical values underlying their decisions. The findings reveal that resistance is grounded in teachers’ concerns about interactional immediacy, learner affect, dialogic engagement, and ethical responsibility. Oral feedback is viewed as a relational practice that requires human sensitivity to timing, tone, and emotional cues, which teachers perceive as inadequately addressed by current AI technologies. Rather than signaling technological reluctance, pedagogical resistance emerges as an enactment of teacher agency and professional judgment. The study contributes to critical discussions on AI integration in education by reframing non-use as a principled pedagogical choice and highlighting the need for context-sensitive, human-centered approaches to AI use in EFL speaking instruction.