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All Journal Pedagogik Journal of Islamic Elementary School EDUKATIF : JURNAL ILMU PENDIDIKAN Ideas: Jurnal Pendidikan, Sosial dan Budaya Jurnal Evaluasi dan Pembelajaran Hanoman Journal: Physical Education and Sport Bima Abdi: Jurnal Pengabdian Masyarakat Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Journal of Artificial Intelligence and Digital Business Priviet Social Sciences Journal Advances In Education Journal
Abdul Rahman
Universitas Lambung Mangkurat
Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Development of Hyper-Content E-Modules for the “Script and Storyboard” Course Based on Project-Based Learning Agus Hadi Utama; Qomario Rio; Brezto Asagi Dewantara; Abdul Rahman
Jurnal Evaluasi dan Pembelajaran Vol 8 No 1 (2026)
Publisher : STKIP Al Islam Tunas Bangsa dan HEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52647/jep.v8i1.463

Abstract

The transformation of digital education demands innovative learning resources to foster student independence. This study aims to develop and test the feasibility of a Hyper content E-Module based on Project Based Learning (PjBL) in the Script and Storyboard course to overcome the limitations of teaching materials and increase learning independence. This study uses the Research and Development (R&D) method with the ADDIE model which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. Data collection was carried out through validation questionnaires from media and material experts, as well as questionnaires on student independence and reflection on learning experiences. The results showed that the developed E-Module was categorized as "Very Feasible" with a feasibility percentage from media experts of 90.3%. Product implementation showed that the E-Module was effective in increasing learning independence, which was characterized by high student initiative in finding solutions independently. In addition, the implementation of PjBL through this E-Module was proven to be successful in encouraging active involvement, critical thinking, creativity, and providing meaningful learning experiences for students. This development resulted in a feasible and effective teaching material product to support independent learning in the digital era.
Peran Dosen Sebagai Korektor dalam Model Human-in-the-Loop (HITL) untuk Meningkatkan Akurasi Evaluasi Pembelajaran Berbasis Artificial Intelligence Abdul Rahman; Brezto Asagi Dewantara
Advances In Education Journal Vol. 2 No. 1 (2025): Advances In Education Journal (Agustus)
Publisher : Yayasan Al-Afif

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial Intelligence (AI)-based learning evaluation is efficient but lacks nuance and risks bias, and the integration of lecturer assessments into the system remains unclear. This study aims to systematically review Human-in-the-Loop (HITL) models to map lecturer roles and measure the impact of their interventions. The study used a literature review of Google Scholar, IEEE, ACM Digital Library, Scopus, dan ERIC databases (2016–2025) with empirical inclusion criteria; 15 studies were analyzed. The results show that while AI improves evaluation efficiency, three lecturer roles initiator, supervisor, and facilitator generally do not directly improve model accuracy. Conversely, the corrector role, which utilizes lecturer feedback for retraining, has the greatest potential for accuracy improvement, but empirical evidence remains limited. Therefore, a shift from simply “Human-in-the-Loop” to a structured feedback mechanism based on Intelligence Augmentation that enables lecturers to contribute to the continuous improvement of Artificial Intelligence models is needed.
Co-Authors Alfarisa, Fitri Amelia Puspita Sari Andi Mariono Arsyad, M. Ziyan Takhqiqi Arta Mulya Budi Harsono Brezto Asagi Dewantara Eka Cahya Sari Putra Fitri Nur Mahmudah Girsang, Febrita Sari Purba Lazaro Kumala Dewi Lisana Lisana Nurmahmudah, Fitri Qomario Qomario Rio Rini, Sulistyo Siti Masitoh Syahra, Rizqya Anis Takhqiqi Arsyad, M. Ziyan Tamami, Wildan Utama, Agus Hadi