Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal LLT Journal: A Journal on Language and Language Teaching English Language Teaching Educational Journal
Sharif, Tengku Intan Suzila Tengku
Unknown Affiliation
Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PATTERNS OF UTILIZING AI–ASSISTED TOOLS AMONG EFL STUDENTS: NEED SURVEYS FOR ASSESSMENT MODEL DEVELOPMENT Wulyani, Anik Nunuk; Widiati, Utami; Muniroh, Siti; Rachmadhany, Clarita Dianmonica; Nurlaila, Nurlaila; Hanifiyah, Lina; Sharif, Tengku Intan Suzila Tengku
LLT Journal: A Journal on Language and Language Teaching Vol 27, No 1 (2024): April 2024
Publisher : English Education Study Programme of Sanata Dharma University, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/llt.v27i1.7966

Abstract

This study explores patterns of AI-tool utilization among Indonesian EFL students, as preliminary data for assessment-model development. Using a convenience sampling technique, this study involved 208 university students of various year levels. A questionnaire was developed based on technology acceptance model (TAM) frameworks to collect data through Google Form, covering aspects of knowledge and use of AI tools in completing tasks, frequency of AI use and friendliness levels, reasons for using AI tools, ease of using AI tools, and desire to use AI tools. The results reveal that the participants had basic knowledge of AI but a significant number of participants admitted not knowing AI tools, suggesting the need for more education and awareness about AI. Grammarly and Google Translate were the most familiar and frequently used applications. Our findings also reveal strong relationships between perceived ease of use (PEoU) and perceived usefulness (PU) and between PU and technology acceptance (TA), implying how TAM frameworks may predict willingness to use technology-assisted or AI applications and the actual utilization. As most research participants were teacher candidates, it becomes clear that integrating AI-assisted learning content and activities appears essential as their experiences in their teacher education may influence the way they teach in the future.
Dialogic feedback in English Language Teaching (ELT): Modalities, outcomes, and research trends Susanti, Ani; Sharif, Tengku Intan Suzila Tengku; Masardo, Alex
English Language Teaching Educational Journal Vol. 8 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/eltej.v8i1.14057

Abstract

This systematic literature review examines dialogic feedback research in English Language Teaching (ELT) based on 23 empirical studies published between 2010 and 2025. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, the review applied a rigorous selection and screening process to ensure transparency and replicability. Six main modalities of dialogic feedback are identified: face-to-face dialogic feedback, written dialogic feedback, technology-mediated dialogic feedback, peer dialogic feedback, supervisory dialogic feedback, and teacher professional development dialogic feedback This typology reflects variations in feedback interaction modes, participants, and instructional settings, offering a more nuanced framework for understanding how dialogic feedback operates across formal and informal learning contexts.  These modalities promote interactive, learner-centered feedback processes across varied learning environments. The analysis highlights four key educational outcomes: improvements in writing proficiency, enhanced feedback literacy, increased learner engagement and reflection, and the development of learner autonomy and self-regulation. These outcomes demonstrate a consistent pedagogical value of dialogic feedback in supporting active learning ecosystems. Research trends reveal three chronological phases: early conceptual exploration, empirical classroom application, and recent growth in digital feedback practices. Studies predominantly employ sociocultural theory, dialogic pedagogy, feedback literacy, and self-regulated learning frameworks. Methodologically, the field has advanced from qualitative designs to mixed method and quasi-experimental approaches, mostly within Asian EFL university writing contexts. Notable gaps include the lack of longitudinal studies, minimal focus on speaking skills, and underrepresentation of diverse geographical and educational contexts. Future research should address these gaps by expanding skill focus, geographical coverage, and methodological rigor to ensure more equitable and effective dialogic feedback practices in ELT.
Co-Authors Aminuyati Ani Susanti Anik Nunuk Wulyani Lina Hanifiyah Masardo, Alex Rachmadhany, Clarita Dianmonica Siti Muniroh Utami Widiati