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Journal : JENTRE

EKSPLORASI GUNUNG ES DAN PROSES ā€œUā€ SEBAGAI SEBUAH METODE PEMBELAJARAN DALAM PELATIHAN PENGUATAN MODERASI BERAGAMA Fauzan, Mohamad; Restendi, Dedi
JENTRE Vol. 5 No. 2 (2024): JENTRE: Journal of Education, Administration, Training and Religion
Publisher : Balai Diklat Keagamaan Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38075/jen.v5i2.519

Abstract

This study aims to assess the effectiveness of the Iceberg Analysis and U-Process methods in training programs designed to strengthen religious moderation, using the Kirkpatrick model to evaluate reaction and learning levels. A survey and descriptive analysis were employed to measure training effectiveness. The study involved a population of 90 participants, with a sample size of 73 determined using the Morgan and Krejcie sample formula. The instrument's validity and reliability were tested, and a Paired Sample T-Test was used to analyze learning outcomes. Descriptive analysis was conducted based on the Iceberg Analysis and U-Process learning models. The findings indicate that the training evaluation at the reaction level falls into the "very good" quadrant, with all aspects of the organizers and instructors rated positively. Learning outcomes show a significant improvement, and at the results level, the learning processes involving the Iceberg and U-Process methods significantly enhanced participants' knowledge and skills. Overall, the training is deemed effective.
Creating Immersive Learning Experiences With AI: An Android App Approach Fauzi, Reza; Restendi, Dedi; Nugraha, Firman; Ayundhari, Vidia Lantari
JENTRE Vol. 5 No. 2 (2024): JENTRE: Journal of Education, Administration, Training and Religion
Publisher : Balai Diklat Keagamaan Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38075/jen.v5i2.521

Abstract

This paper explores the development of AI-powered Android-based learning media to enhance immersive learning experiences. Utilizing Design-Based Research (DBR), the study involved the iterative design, development, and evaluation of an interactive Android application. AI tools, including ChatGPT, Quizziz AI, and various image generation software, were embedded to personalize and support the learning process. The app's interactive features, such as quizzes and instant feedback mechanisms, aim to increase learner engagement and motivation. Preliminary testing among trainers highlighted the app's effectiveness in improving user experience and the potential for broader adoption in educational settings. The results suggest that integrating AI into mobile learning platforms can enhance the accessibility and adaptability of educational content. Future research will focus on further app refinements and assessing its long-term impact on student learning outcomes.