cover
Contact Name
Irwanto
Contact Email
Irwanto@unj.ac.id
Phone
+6282323169338
Journal Mail Official
jtal@spm-online.com
Editorial Address
Scientia Publica Media. Perumahan Wonolelo Indah No. 39, Muntilan, Magelang 56411, Jawa Tengah, Indonesia
Location
Kota magelang,
Jawa tengah
INDONESIA
Journal of Technology-Assisted Learning
Published by Scientia Publica Media
ISSN : 30897394     EISSN : 30897408     DOI : https://doi.org/10.70232/jtal.v1i2
Core Subject : Education,
The Journal of Technology-Assisted Learning (JTAL) is an open-access, peer-reviewed journal dedicated to advancing research in digital learning. It focuses on the promotion and dissemination of studies on electronic learning and distance education worldwide. The journal encourages multidisciplinary research in areas such as online learning and teaching, technology-driven design and implementation of academic programs, teaching initiatives and projects, emerging technologies and their applications, blended learning approaches integrating online and face-to-face instruction, instructional materials, and pedagogy. JTAL explores theories, concepts, perspectives, pedagogical frameworks, implications, and recommendations for technology-enhanced education. The journal’s philosophy is to align with the evolving needs and interests of the technology-enhanced learning community, which shapes the thematic focus of its publications. Its primary objectives are to foster comprehensive, multidisciplinary discussions on technology-assisted learning research; to facilitate international collaboration and knowledge exchange in the field; and to explore strategies for leveraging technology-enhanced learning to support sustainable development. JTAL serves as a vital platform for disseminating research and scholarship from individual, institutional, national, and international perspectives. The journal promotes interdisciplinary collaboration and welcomes diverse contributions, including empirical research, systematic reviews, theoretical and conceptual studies, and practical applications and case studies.
Articles 22 Documents
AI-Driven Learning Analytics and Student Retention Among International Students in Chinese Universities Herin Ratnaningsih; Zhang Jiasheng; Yue Zhao; Hu Xun
Journal of Technology-Assisted Learning Vol. 2 No. 2 (2026): Journal of Technology-Assisted Learning
Publisher : Scientia Publica Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70232/jtal.v2i2.36

Abstract

Artificial Intelligence (AI) and learning analytics are rapidly reshaping the modern landscape of higher education, impacting academic engagement, personalised learning experiences, and student retention in the learning environment. In recent years, Chinese universities have been more and more implementing AI technologies in education to enhance institutional responsiveness, adaptability, and predictive academic support for students from domestic and abroad. Despite the widespread use of AI in HEIs, there is, however, little qualitative research that has examined the perceptions and experiences of international students in the context of AI-mediated learning environments in Chinese HEIs. Hence, this research aimed to explore how AI-powered learning analytics affects student attrition among international students at Chinese Universities. The study used a qualitative exploratory research design, following an interpretivist paradigm. Twenty-five international students at undergraduate, master’s, and doctoral levels at various universities in China were interviewed using semi-structured interviews. Descriptive thematic analysis was applied in the analysis of data in this study, based on the analytical framework of Braun and Clarke. The results indicated that AI learning analytics had a positive impact on academic engagement, educational organisation, adaptation of personal learning, and institutional support, which was enabled by predictive academic monitoring and intelligent feedback systems. In general, the participants considered that the use of AI-supported educational technologies can be beneficial in terms of increasing awareness about learning, participation in learning, and persistence in learning. The research also revealed a number of challenges encountered in cultural adaptation, language barriers, emotional stress, privacy concerns, and digital surveillance in the context of AI in education. The study shows that AI learning analytics, in combination with ethically responsible, culturally inclusive, and human-centred education, can make a significant contribution to international student retention. The results add to the current body of knowledge by offering qualitative insight into the impact of AI-enhanced education in higher education institutions in China.
The Effects of Weblog Task Reading Activities on English Learners’ Reading Ability Lamya Hajihasankhansary
Journal of Technology-Assisted Learning Vol. 2 No. 2 (2026): Journal of Technology-Assisted Learning
Publisher : Scientia Publica Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70232/jtal.v2i2.37

Abstract

In the current digital era, various materials are taken into action to enhance language learners’ skills, especially reading skills. Among these materials, weblogs have attracted increasing attention due to their ability to provide authentic reading experiences and interactive learning opportunities for language learners. While there is a wide range of research on the benefits of weblogs in language learning, a gap in understanding their differential impact on learners of varying proficiency levels is felt. Therefore, this study investigated the effects of weblog reading tasks on the reading abilities of advanced and intermediate English language learners. Willing to cover this missed point, this study aims to show the effectiveness of weblog reading tasks in improving the reading skills of both advanced and intermediate-level learners. A quasi-experimental design was employed involving 84 English language learners at a private language institute in Iran. Reading proficiency was measured through pre-test and post-test assessments administered before and after a four-week instructional period. The collected data were analyzed using one-way ANOVA and independent-samples t-tests. The findings revealed that weblog tasks significantly improved the reading skills of advanced learners, while these tasks did not significantly enhance the reading performance of intermediate learners. Furthermore, both journalistic and scientific weblog reading tasks contributed to the improvement of advanced learners’ reading performance, with scientific weblog tasks producing slightly greater gains. This study can make contributions to the literature by highlighting the potential of weblog reading tasks to enhance advanced learners’ reading skills. The findings suggest that the effectiveness of weblog-based reading activities may depend on learners’ proficiency levels and their ability to engage with authentic online content. The study highlights the pedagogical value of weblogs as supplementary reading resources for advanced learners and points to the need for further research to develop more effective weblog-based interventions for intermediate learners.

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