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All Journal Jurnal Mantik Tematik : Jurnal Teknologi Informasi Komunikasi Al-Hijr: Journal of Adulearn World Journal International Inspire Education Technology (JIIET) Computing Jurnal Informatika Journal Research of Social Science, Economics, and Management Kinanti : Jurnal Karya Insan Pendidikan Terpilih Journal of Humanities Research Sustainability Maneggio Technologia Journal Journal of Pedagogi INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) Indonesian Journal of Education (INJOE) Scientechno: Journal of Science and Technology Journal of World Future Medicine, Health and Nursing Journal Emerging Technologies in Education International Journal of Educational Narratives International Journal of Language and Ubiquitous Learning
Rustiyana, Rustiyana
Universitas Bale Bandung, Indonesia
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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The Efficacy of an AI-Powered Chatbot for Improving Conversational Fluency Among Indonesian University Students Roya Zahir; Razia Khan; Zara Ali; Rustiyana Rustiyana
International Journal of Language and Ubiquitous Learning Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i5.2841

Abstract

Background. Developing conversational fluency in English remains a persistent challenge for Indonesian university students, particularly due to limited opportunities for authentic interaction and a strong reliance on form focused classroom instruction. Purpose. This quantitative study aimed to investigate the preferences of Thai This study investigates the efficacy of an AI powered chatbot in improving students’ conversational fluency within an Indonesian higher education context. The research aims to examine how AI mediated conversational interaction influences fluency development and to evaluate students’ perceptions of the chatbot as a learning tool.   Method. Quantitative data were obtained through pre  and post tests measuring speech rate, lexical richness, and utterance smoothness, while qualitative insights were collected through semi structured interviews and reflective journals Results. The findings show a statistically significant improvement in conversational fluency, with notable gains in speech rate and lexical variation. Students reported increased confidence, reduced speaking anxiety, and high levels of engagement during AI assisted practice. Conclusion. The study concludes that AI powered chatbots can serve as an effective supplementary tool for enhancing conversational fluency in EFL contexts, although long term integration requires pedagogical scaffolding and attention to ethical considerations.
Using Augmented Reality (AR) to Create Place-Based Language Learning Tasks in the Historic Old Town of Jakarta Yang Xiang; Li Na; Sun Wei; Rustiyana Rustiyana
International Journal of Language and Ubiquitous Learning Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i4.2843

Abstract

Background. Place-based learning has gained increasing attention in language education for its ability to situate meaning-making within authentic sociocultural environments. In Indonesia, the Historic Old Town of Jakarta (Kota Tua) represents a rich linguistic and cultural landscape that remains underutilized as a pedagogical resource for contextualized language learning. Purpose. This study explores the use of AR to design and implement place-based language learning activities that enhance learners’ engagement, vocabulary acquisition, and cultural awareness. Method. Employing a design-based research approach, the study involved 42 university students who completed AR-mediated tasks across selected historical landmarks. Data were collected through pre- and post-tests, field observations, and semi-structured interviews. Results. The findings indicate that AR significantly increased learner engagement, facilitated more meaningful vocabulary retention, and encouraged students to make connections between linguistic input and the cultural narratives of Kota Tua. Conclusion. The study concludes that AR-enhanced place-based tasks offer a promising pedagogical model for integrating digital technologies with experiential learning in heritage settings. Further research is recommended to explore scalability, long-term learning effects, and cross-cultural applicability.  
Integrating Generative AI (e.g., ChatGPT) as a Collaborative Writing Partner in an Academic English Course: A Pedagogical Study Iin Almeina; Ava Lee; Marcus Tan; Rustiyana Rustiyana
International Journal of Language and Ubiquitous Learning Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i3.2845

Abstract

Background. Traditional writing instruction often struggles to provide continuous feedback, individualized support, and opportunities for iterative revision, leading to gaps in students’ development of critical thinking and academic discourse skills. Generative Purpose. This study investigates the pedagogical impact of integrating ChatGPT as a collaborative writing partner in an Academic English course. Method. Employing a mixed-methods design, the study involved 36 university students who participated in a six-week intervention consisting of guided writing tasks, AI-supported drafting sessions, and reflective activities. Results. The findings indicate noticeable improvements in coherence, lexical precision, and argumentative structure, accompanied by increased student confidence and metacognitive engagement. Participants viewed ChatGPT as a supportive partner that enhanced idea generation and revision processes, although concerns regarding overreliance and critical evaluation emerged. Conclusion. The study concludes that generative AI can serve as an effective pedagogical tool when integrated with explicit instruction and human guidance.
Designing a Cloud-Based Ubiquitous Learning Environment for a Hybrid University Language Course Aom Thai; Rit Som; Ming Kiri; Rustiyana Rustiyana
International Journal of Language and Ubiquitous Learning Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i6.2846

Abstract

Background. The rise of hybrid learning models in higher education has highlighted the need for flexible, scalable, and context-aware digital learning environments capable of supporting continuous language learning beyond classroom boundaries. Purpose. This study aims to design and evaluate a cloud-based ubiquitous learning environment tailored for a hybrid university language course to enhance learner autonomy, engagement, and communicative competence.   Method. Employing a design-based research methodology, the study involved iterative cycles of analysis, design, implementation, and evaluation with 42 undergraduate language learners. Data were collected through system usage analytics, pre- and post-course proficiency assessments, and learner experience surveys. Results. The results indicate significant improvements in vocabulary retention, listening comprehension, and task-based communication skills, accompanied by increased learner satisfaction with the flexibility and responsiveness of the system. Conclusion. The study concludes that a cloud-based ubiquitous learning environment can meaningfully enhance hybrid language instruction by integrating mobility, accessibility, and real-time support into traditional course structures.  
Co-Authors Aaraf Sharma Achmad Sanusi Ahmed Shah Ahmet Demir Ali Khan Ali Reza Aom Thai Arief Budi Pratomo Arief Hidayat Asep Didik Setia Permana Aung Myint Ava Lee Baatar Tserendorj Baran Akbulut Charlotte Thomsen COMPUTING INFORMATIKA Dadan Herdiansah Daeng Arifin Diana Salendra Dito Anurogo Dyah Maharani Elchin Mammadov Eliagus Telaumbanua Ethan Tan Fatemeh Hashemi Fatima Malik Haji Ahmad Makie Iin Almeina INFORMATIKA, COMPUTING Jamil Khan João Lima Karmini, Ni Wayan Khilda Nistrina Kusnadi Leila Mahdavi Li Na Li Wei Loso Judijanto Lucas Lima Lucas Wong Marcus Tan Maryana Maryana, Maryana Ming Kiri Muh. Safar Munkhzul Ganbat N Dede Khoeriah Nandar Hlaing Nenden Sri Rahayu Nong Chai Novianti Indah Putri Nurul Saila Park Jihoon Peter Wapun Puja Permana, Ridwan Rafiullah Amin Razia Khan Rit Som Rithy Vann Rohan Kumar Roshonah, Adiyati Fathu Rosmalina ROSMALINA ROSMALINA, ROSMALINA Roya Zahir Rusdi Rusdi Sandhy Dwi A Sari Mariahma Nova Sipayung Sauca Ananda Pranidana Selenge Batbold Shazia Akhtar Shela Tansyah, Lorenza Siri Lek Sofia Lim Sokha Dara Suharya, Yaya Sukiman Sulastry Pakpahan Sun Wei Thabo Mokoena Tiago Costa Triyugo Winarko Vann Sok Wirdatul Khasanah Yang Xiang Yudi Herdiana Yusuf Muharam Zara Ali Zaw Min Oo Zen Munawar