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Journal Emerging Technologies in Education
Published by Yayasan Adra Karima Hubbi
ISSN : 30250668     EISSN : 30250676     DOI : 10.70177/jete
Core Subject :
Journal Emerging Technologies in Education (JETE) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, technologies and Education. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JETE follows the open access policy that allows the published articles freely available online without any subscription.
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Articles 130 Documents
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Implementation of Digital Literacy Based Hybrid Classes in Islamic Education (PAI) Study Programs in Higher Education Darliana Sormin; Muksana Pasaribu; Riski Ananta; Nor Kalsum Mohd Isa
Journal Emerging Technologies in Education Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i2.3872

Abstract

Background: The rapid development of digital technology has encouraged universities to integrate technology into the learning process, including in Islamic education. The implementation of hybrid classes has become an innovative learning solution that combines online and offline learning to enhance the digital literacy of students and lecturers. However, the implementation of hybrid learning in the Islamic Education Study Program still requires the development of an effective model aligned with Islamic educational values. Purpose: This study aims to develop a hybrid class-based Islamic education model to improve the digital literacy skills of the academic community in the Islamic Education Study Program, Faculty of Islamic Studies, Muhammadiyah University of South Tapanuli. Method: This study employed a qualitative approach using the Plomp Model, which consists of the stages of Planning, Learning, Organizing, Operating, Monitoring, and Product. Data were collected through observation, interviews, and documentation, and then analyzed through data reduction, data presentation, and conclusion drawing. Results: The findings revealed that the implementation of hybrid classes significantly improved students' digital literacy skills, lecturers' competencies in utilizing learning technology, and the overall quality of digital-based learning within the faculty. Hybrid learning also encouraged active student participation through the use of Learning Management Systems (LMS), virtual discussions, and collaborative digital projects. Conclusion: The hybrid class-based Islamic education development model proved effective in enhancing digital literacy and supporting learning transformation that is relevant to technological advancements while maintaining Islamic educational values.
Predictive Analytics and Student Retention: A Multi-Institutional Longitudinal Study on Early Warning Systems in Higher Education Ika Yuniawati; Kabelo Dube; Dineo Modise
Journal Emerging Technologies in Education Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i3.3883

Abstract

Background. Student retention remains one of the most significant challenges in higher education, particularly amid increasing diversity in student demographics, academic preparedness, and socioeconomic conditions. The growing availability of institutional data has encouraged universities to adopt predictive analytics and Early Warning Systems (EWS) to identify academically vulnerable students before disengagement becomes irreversible. Purpose. This study aimed to examine the effectiveness of predictive analytics and Early Warning Systems in improving student retention across multiple higher education institutions. Particular attention was directed toward identifying dominant predictive variables, evaluating institutional intervention effectiveness, and analyzing longitudinal retention trajectories among at-risk students. Method. A longitudinal mixed-methods design was employed involving 2,500 undergraduate student records collected from five universities over four academic years. Quantitative analysis included logistic regression, survival analysis, and machine learning classification models, while qualitative interviews explored institutional intervention practices and student support experiences. Results. The findings revealed that attendance rate, learning management system engagement, academic performance, and financial aid stability significantly predicted student retention outcomes. Institutions implementing coordinated intervention frameworks achieved substantially higher persistence rates among high-risk students compared to universities relying solely on automated predictive notifications. Conclusion. Predictive analytics and Early Warning Systems can significantly enhance student retention when integrated with proactive and human-centered institutional support systems. The study highlights that predictive technologies are most effective when universities translate analytical insights into timely educational interventions that address students’ academic and social support needs.
Effectiveness Of An Ojs-Based Semester Lesson Plan Validation System: A User Experience Review Safrizal Safrizal; Desri Jumiarti; Syamsul Bahri
Journal Emerging Technologies in Education Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i2.3899

Abstract

Background. Quality assurance in higher education instructional planning is often hindered by inefficient validation processes for Semester Learning Plans (RPS). Digital innovations inspired by academic workflow systems offer potential solutions for improving efficiency and reliability in these processes. Purpose. This study aimed to evaluate the effectiveness and user experience of the RPS Validation and Evaluation System (SVeR), a digital platform modeled after the workflow of the Open Journal System (OJS). Specifically, it investigated whether SVeR could enhance the validation process and be positively received by lecturers. Method. Using an explanatory sequential mixed methods design, 17 lecturers from the PGMI Program at UIN Mahmud Yunus Batusangkar participated. The quantitative phase measured inter-rater reliability using Cohen's Kappa (?) statistics and assessed user perceptions through a rating questionnaire. The qualitative phase analyzed user feedback via thematic analysis. Results. Quantitative findings indicated a very high level of effectiveness, with an average Kappa coefficient of ? = 0.939, alongside a highly positive user acceptance, reflected in an average rating of 8.88 out of 10. Thematic analysis revealed three major advantages of SVeR: simplification of workflow, increased efficiency, and a positive impact on quality assurance. Conclusion. The study concludes that SVeR is both objectively effective and well-received by users, suggesting its potential as a model for digitalizing academic quality assurance processes in higher education.
Implementation of Educational and Ethical Awareness Programs through Internal Control and Whistleblowing Systems to Prevent Fraud in the Traffic Unit of Bandar Lampung Police Novi Indah Earlyanti; Alfahry Rasman
Journal Emerging Technologies in Education Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i3.3901

Abstract

Fraud prevention efforts cannot be separated from the methods that can be done to eliminate the opportunity for fraud, including having a good internal control system and implementing an adequate whistleblowing system. Therefore, this study aims to analyze the effect of the internal control system and whistleblowing system on preventing fraud by members of the Bandar Lampung Police Traffic Unit (Satlantas). This study uses a quantitative approach with a survey method conducted on 78 members of the Bandar Lampung Police Traffic Unit. Data analysis techniques used include instrument testing, classical assumption testing, and multiple linear regression hypothesis testing. The results of this study obtained a regression equation, namely Y ? = 5.902 + 0.036 X1 + 0.859 X2 + e. This study concludes that partially, the internal control system does not have a significant effect on preventing fraud by members of the Bandar Lampung Police Traffic Unit, while the whistleblowing system has a significant effect on preventing fraud by members of the Bandar Lampung Police Traffic Unit. Simultaneously, the internal control system and whistleblowing system have a significant influence on the prevention of fraud by members of the Bandar Lampung Police Traffic Unit with a contribution of 70.7% while the remaining 29.3% is influenced by other variables.
The Influence Of Smartphones On The Dynamics Of Social Interaction Among Elementary School Students: A Case Study At Sdk Ruteng I Maksimilianus Jemali; Sebastianus Catyo Enggong
Journal Emerging Technologies in Education Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i2.3904

Abstract

Background. This study is motivated by the rampant use of smartphones, which triggers a shift in children's interpersonal relationship patterns. Purpose. It aims to analyze the intensity of smartphone utilization and its impact on the social interaction dynamics of students at SDK Ruteng I. Method. Utilizing a descriptive qualitative approach, data were gathered through observation and in-depth interviews with fifth-grade students. Data validity was verified through source, method, and time triangulation, while data analysis applied the Miles and Huberman interactive model involving data reduction, data display, and conclusion drawing. Results. The findings reveal two primary discoveries: first, students exhibit a high level of smartphone dependency, with daily screen time exceeding two hours; second, smartphones deliver an ambivalent impact, facilitating communication and learning access while simultaneously triggering online game addiction, sleep disturbances, and the loosening of real-world social interactions. Conclusion. As a conclusion, this study highlights that the solution to this phenomenon requires a crucial synergy between parental preventive control through screen time limitation and teachers' persuasive education regarding digital literacy at school.
Picture Book-Based Storytelling to Enhance Literacy Among 5–6-Year-Old Children at RA Nurul Islam Marlis Simarni; Feerlie Mhonthana Indhra; Ani Pajrini
Journal Emerging Technologies in Education Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i3.3906

Abstract

Early childhood literacy skills are an important foundation for learning readiness at the next level of education, but in practice, the literacy skills of children aged 5-6 years still require appropriate, interesting, and developmental stimulation. This research aims to improve the literacy skills of children aged 5-6 years through the application of storytelling based on picture books in the literacy corner of RA Nurul Islam. This study uses the Classroom Action Research approach with stages of planning, action implementation, observation, and reflection which are carried out in several cycles. The subject of the study was the children of group B RA Nurul Islam aged 5–6 years. Data is collected through observation, documentation, and assessment of children's performance based on literacy ability indicators which include listening, answering questions, retelling the content of stories, mentioning characters, getting to know new vocabulary, and recognizing simple letters or symbols. The results of the study show that the application of storytelling based on picture books in literacy corners is able to increase children's involvement in learning and gradually improve their literacy skills. Thus, storytelling based on picture books is effectively used as a learning strategy to improve early childhood literacy skills at RA Nurul Islam
Optimization of Bamboo Bridge Outbound Activities in Shaping the Religious Character of Grade II Students of Madrasah Ibtidaiyah Alam Ya Bunayya Bungo Uci Rahma Yani; Muhammad Zaki; Siti Khamim
Journal Emerging Technologies in Education Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i3.3921

Abstract

This research is motivated by the importance of forming the religious character of Madrasah Ibtidaiyah students from an early age, while in educational practice there are still symptoms of lack of discipline, low responsibility, lack of confidence, and not optimal practice of religious values in daily life. This study aims to describe the implementation of outbound Bamboo Bridge activities, analyze the optimization strategy and integration of religious values, and explain its impact on the formation of religious character of grade II students of Madrasah Ibtidaiyah Alam Ya Bunayya Bungo. This study uses a descriptive qualitative approach with a type of field research. Data was collected through observation, interviews, and documentation of madrasah heads, homeroom teachers of grade II, outbound assistant teachers, students, and parents. The results of the study show that Bamboo Bridge outbound activities can be an effective medium in shaping religious character if carried out through careful planning, intensive teacher mentoring, value reflection, and continuous evaluation. The impact that arises includes increased discipline, courage, responsibility, patience, and social concern of students. Thus, it can be concluded that the optimization of Bamboo Bridge's outbound acBamboo Bridge; Karakter Religius; Madras; Optimalisasi; Outbound. Ativities contributes significantly to the formation of students' religious character through concrete, fun, and meaningful learning experiences.
The AI-Powered Dialogue: Evaluating the Impact of Large Language Models on EFL Learners’ Pragmatic Competence and Speaking Anxiety Delsa Miranty; Haziq Idris; Rina Farah
Journal Emerging Technologies in Education Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i2.3925

Abstract

Background. The rapid advancement of artificial intelligence has transformed language learning environments, particularly through the integration of Large Language Models (LLMs) that facilitate interactive and personalized communication practice. Despite their growing adoption in English as a Foreign Language (EFL) education, limited empirical attention has been devoted to understanding their influence on learners’ pragmatic competence and speaking anxiety. Purpose. This study aims to evaluate the impact of AI-powered dialogue systems based on LLMs on EFL learners’ ability to use language appropriately in social contexts and their confidence in oral communication. Method. A quantitative quasi-experimental design was employed involving 120 EFL learners divided into experimental and control groups. Data were collected through pragmatic competence assessments, speaking anxiety scales, classroom observations, and structured interviews. Results. Findings indicate that students who engaged with AI-powered dialogue systems demonstrated significantly higher gains in pragmatic competence compared to those receiving conventional instruction. Results also reveal a substantial reduction in speaking anxiety, attributed to the non-judgmental, adaptive, and accessible nature of AI-mediated interactions. Conclusion. The study concludes that LLM-based dialogue platforms provide meaningful opportunities for authentic communication practice while fostering psychological comfort in language learning. Integrating AI-powered dialogue into EFL instruction can therefore enhance communicative effectiveness and support learners’ confidence in real-world language use.
The Utilization of Virtual Reality (VR) of Islamic Historical Sites to Enhance Contextual Understanding of Sababun Nuzul Hadiths Fiqih Ananda; Ilda Putri; Indah Gayatri; Muhamad Yahya
Journal Emerging Technologies in Education Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i3.3979

Abstract

Background. Understanding the historical context of Hadiths, particularly the Sababun Nuzul (circumstances surrounding the emergence and transmission of Hadiths), remains a significant challenge for students in Islamic studies. Conventional teaching methods often rely on textual descriptions that limit learners’ ability to visualize historical settings and events. Purpose. This study aimed to investigate the effectiveness of utilizing Virtual Reality (VR) representations of Islamic historical sites in enhancing students’ contextual understanding of Sababun Nuzul Hadiths. The study also explored students’ perceptions of VR-based learning as an educational tool in Islamic studies. Method. A quantitative research design was employed involving undergraduate students enrolled in Islamic studies courses. Participants experienced VR-based learning environments featuring reconstructed Islamic historical sites associated with selected Hadith narratives. Data were collected through contextual understanding tests and perception questionnaires and analyzed using descriptive and inferential statistical techniques. Results. The findings revealed that students who engaged with VR-based learning demonstrated significantly higher levels of contextual understanding compared to those who learned through conventional instructional approaches. The participants also reported positive perceptions regarding learning motivation, engagement, historical visualization, and knowledge retention. Conclusion. The integration of Virtual Reality into Islamic education provides an effective approach to improving students’ contextual understanding of Sababun Nuzul Hadiths. The immersive and interactive nature of VR facilitates meaningful learning experiences and supports the modernization of Islamic educational practices. Future studies are encouraged to explore the integration of both VR and AR technologies across broader areas of Islamic learning.
Neuro-Educational Data Mining: Bridging Brain-Computer Interfaces and Predictive Learning Analytics for Personalized Instruction Catur Lestari Wijayanti
Journal Emerging Technologies in Education Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i2.4050

Abstract

Background. Rapid transformations in labor markets driven by digitalization and platform-based employment have reshaped traditional career trajectories, particularly among Generation Z. Emerging gig economy structures require adaptive competencies that extend beyond conventional career preparation, yet many career development models remain oriented toward stable, long-term employment pathways. Purpose. This study aimed to examine the role of career counseling in enhancing Generation Z’s readiness for gig economy participation. Specifically, it investigated the extent to which career adaptability, digital career competence, entrepreneurial readiness, and career self-efficacy contribute to preparedness for non-traditional and platform-based employment. Method. A mixed-methods sequential explanatory design was employed. Quantitative data were collected from 450 participants using validated instruments measuring career adaptability, digital career competence, entrepreneurial readiness, career self-efficacy, and gig economy career readiness. Structural Equation Modeling (SEM) was applied to test the relationships among variables. Qualitative interviews were conducted to deepen understanding of participants’ perceptions of career counseling experiences and alternative career pathways. Results. The findings indicate that career counseling has a significant positive effect on all examined variables. Career adaptability emerged as the strongest predictor of gig economy readiness, followed by digital career competence and entrepreneurial readiness. Career self-efficacy also contributed significantly to readiness outcomes. The qualitative data supported these findings by showing that students who experienced structured career guidance demonstrated greater confidence in navigating uncertain and project-based labor markets. However, some participants still exhibited limited awareness of gig economy risks and unstable income structures, indicating uneven preparedness. Conclusion. The study highlights that career counseling plays a critical role in preparing Generation Z for evolving labor market demands. Strengthening adaptive, digital, and entrepreneurial dimensions within counseling frameworks is essential for improving readiness for gig and platform-based employment. These findings suggest that traditional career guidance models require substantial redesign to align with the realities of contemporary work ecosystems.

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