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Adam Mudinillah
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alhijr@staialhikmahpariangan.ac.id
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Jorong Padang Panjang Pariangan No. 17 Kec. Pariangan Kab. Tanah Datar Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.
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Al-Hijr: Journal of Adulearn World
Published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar
ISSN : 28293894     EISSN : 28294351     DOI : https://doi.org/10.55849/alhijr
Core Subject : Science, Education,
Computer Science & IT Education Languange, Linguistic, Communication & Media Other
Al-Hijr: Journal of Adulearn World is a multi-disciplinary, peer-refereed open-access international journal which has been established for the dissemination of state-of-the-art knowledge in the field of education, teaching, development, instruction, educational projects and innovations, learning methodologies, and new technologies in education and learning. 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 Al-Hijr follows the open access policy that allows the published articles freely available online without any subscription. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Umum - Umum
Articles 126 Documents
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Evaluation of the Effectiveness of Virtual Teaching Assistant in Online Collaborative Learning Erdogan, Aylin; Kara, Sevda; Y?lmaz, Hale
Al-Hijr: Journal of Adulearn World Vol. 3 No. 4 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v3i4.859

Abstract

The rise of online learning has introduced various tools and technologies aimed at enhancing the learning experience, with virtual teaching assistants (VTAs) being one of the most prominent innovations. VTAs can support both students and instructors by providing real-time feedback, answering questions, and facilitating collaboration in online environments. However, the effectiveness of VTAs in fostering successful online collaborative learning experiences remains underexplored. This study evaluates the effectiveness of VTAs in online collaborative learning environments, focusing on their impact on student engagement, collaboration, and academic performance. A mixed-methods research design was employed, combining quantitative data from student performance assessments with qualitative feedback from surveys and interviews. The study involved 200 students across multiple online courses that integrated a VTA to support collaborative activities. Data was collected over the course of a semester. The results indicate that the use of VTAs significantly enhanced student engagement and collaboration, leading to improved academic performance. Students in the experimental group showed a 15% increase in collaboration scores and a 20% improvement in academic performance compared to the control group. This study concludes that VTAs can play a crucial role in improving the effectiveness of online collaborative learning by fostering greater student interaction, providing timely support, and enhancing learning outcomes.
The Influence of Mobile Learning on Student Motivation in Remote Areas Al-Mansour, Youssef; Al-Jawad, Khaled; Al-Nasser, Maha
Al-Hijr: Journal of Adulearn World Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i1.860

Abstract

Mobile learning has become a pivotal educational tool, especially in remote areas where access to traditional educational resources is limited. In these settings, mobile learning offers flexibility, accessibility, and the potential to engage students in their learning process. The influence of mobile learning on student motivation in remote areas, however, remains an area that has not been extensively studied. This research investigates the impact of mobile learning on student motivation in remote areas, aiming to understand how mobile devices and applications can improve student engagement, learning outcomes, and persistence in these regions. A mixed-methods approach was employed, combining quantitative surveys to measure student motivation and qualitative interviews to gather insights into the personal experiences of students and educators. The study involved 300 students from remote areas who used mobile learning tools over a semester. The results show a significant increase in student motivation, with 65% of students reporting greater engagement in learning activities. Students cited the flexibility, accessibility, and interactive nature of mobile learning as key factors that contributed to their motivation. This study concludes that mobile learning positively influences student motivation in remote areas, offering valuable opportunities for improving education in underserved regions. Mobile learning can be an essential tool in bridging educational gaps and fostering student engagement, even in challenging learning environments.
Personalized Learning through ChatGPT: A Quasi-Experimental Study on Adaptive Curriculum in High School Settings Muhammad, Muhammad; Nizam, Zain; Razak, Faisal
Al-Hijr: Journal of Adulearn World Vol. 4 No. 2 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i2.982

Abstract

The challenge of catering to diverse learning paces and styles in traditional high school classrooms often limits student potential. The emergence of advanced AI, such as ChatGPT, presents a novel opportunity to create adaptive learning environments that personalize educational content in real-time. This study aimed to investigate the effectiveness of a ChatGPT-driven adaptive curriculum on student academic performance and engagement compared to conventional, non-adaptive teaching methods. A quasi-experimental, pre-test/post-test design was conducted with 110 high school students. The intervention group (n=55) utilized an adaptive curriculum where content was dynamically adjusted by ChatGPT based on performance, while the control group (n=55) received standard instruction. Academic performance was measured via subject-specific tests, and engagement was assessed using the Student Engagement Instrument (SEI). The intervention group demonstrated a statistically significant improvement in academic performance (p < .01) and higher engagement scores (p < .05) compared to the control group. The adaptive curriculum effectively addressed individual learning gaps and maintained student interest. Integrating ChatGPT to facilitate personalized, adaptive curricula is a highly effective strategy for enhancing both academic achievement and student engagement in high school settings. This approach offers a scalable solution to individualized instruction.
The Ethics of AI in Education: An Empirical Study on Students’ and Teachers’ Attitudes toward Responsible AI Use Nofirman, Nofirman; Vann, Rithy; Sefrizal, Levy; Dara, Ravi
Al-Hijr: Journal of Adulearn World Vol. 4 No. 2 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i2.983

Abstract

The rapid integration of artificial intelligence (AI) into educational settings has outpaced the development of clear ethical guidelines, creating significant challenges related to academic integrity, data privacy, and algorithmic bias. Understanding stakeholder attitudes is crucial for developing effective policies for responsible AI use. This study aimed to empirically investigate and compare the attitudes of high school students and teachers regarding the ethical challenges and responsible use of AI in education. A mixed-methods approach was employed, using a quantitative survey administered to 250 students and 50 teachers to gauge attitudes toward AI ethics. This was supplemented by qualitative data from semi-structured focus groups to explore the reasoning behind these attitudes. The findings revealed a significant divergence in attitudes, with teachers expressing greater concern for academic integrity and data privacy, while students were more focused on AI as a tool for efficiency. Both groups, however, demonstrated a shared desire for clear, explicit ethical guidelines. A notable gap exists between student and teacher perspectives on AI ethics in education. To foster a culture of responsible AI use, educational institutions must implement comprehensive training and develop clear policies that address the distinct concerns of both stakeholder groups.
AI-Driven Feedback Systems for Formative Assessment: Toward Personalized and Real-Time Pedagogy Abar, Reza Oktiana; Pong, Ming; Som, Rit
Al-Hijr: Journal of Adulearn World Vol. 4 No. 2 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i2.984

Abstract

The provision of timely and personalized formative feedback is a cornerstone of effective pedagogy, yet it remains a significant challenge in conventional classroom settings due to large class sizes and time constraints. AI-driven feedback systems offer a scalable solution to this long-standing pedagogical problem. This study aimed to evaluate the impact of a real-time, AI-driven feedback system on students’ academic performance, error correction, and development of self-regulation skills during formative assessment tasks. A quasi-experimental study was conducted with 90 undergraduate students. The intervention group (n=45) received instant, personalized feedback from an AI system on their assignments, while the control group (n=45) received traditional, delayed feedback from instructors. Performance was measured by assignment scores and error reduction rates. The intervention group demonstrated significantly higher improvement in assignment scores and a faster rate of error correction compared to the control group. Furthermore, qualitative analysis of student reflections indicated enhanced self-regulation and metacognitive awareness among students using the AI system. AI-driven feedback systems are powerful tools that enhance formative assessment by providing personalized, real-time pedagogical support. This approach not only improves academic performance but also fosters crucial self-regulation skills for lifelong learning.
Digital Storytelling with Generative AI: Impact on Creativity and Engagement in Middle School Learners Aldina, Fauzi; Gomez, Raul; Alves, Livia
Al-Hijr: Journal of Adulearn World Vol. 4 No. 2 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i2.985

Abstract

Digital storytelling is a proven pedagogy for fostering student expression, but its potential is being redefined by generative artificial intelligence (AI). While AI offers unprecedented tools for creating visual and narrative assets, its specific impact on the creativity and engagement of middle school learners requires empirical investigation. This study aimed to evaluate the impact of integrating generative AI into digital storytelling projects on the creativity and engagement levels of middle school students compared to traditional digital methods. A quasi-experimental, pre-test/post-test design was conducted with 120 middle school students. The intervention group used generative AI tools to create story assets, while the control group used standard digital tools. Creativity was assessed using a standardized rubric, and engagement was measured with the Student Engagement Instrument (SEI). The intervention group showed statistically significant gains in creativity metrics, particularly in originality and elaboration (p < .01). This group also reported significantly higher levels of cognitive and behavioral engagement compared to the control group (p < .05). Integrating generative AI into digital storytelling projects serves as a powerful catalyst, enhancing both the creative output and the active engagement of middle school learners. The technology acts as a creative partner, enabling students to realize more ambitious narrative visions.

Page 13 of 13 | Total Record : 126

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