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Implementasi Langchain dan Large Language Models Dalam Automatic Question Generation Untuk Computer Assisted Test Novri Rahman; Harahap, Nazruddin Safaat; Affandes, Muhammad; Pizaini
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.558

Abstract

The advancement of Artificial Intelligence (AI), particularly Large Language Models (LLM), presents new opportunities in transforming educational assessment systems. This study aims to implement the LangChain framework integrated with LLM for an Automatic Question Generation (AQG) system within a Computer Assisted Test (CAT) platform, using eleventh-grade Biology subject matter as a case study. The methodology includes data collection from PDF-based instructional materials, text embedding using Facebook AI Similarity Search (FAISS) as the knowledge base, and automatic question generation through the GPT-4o model. The system is developed using a microservices architecture comprising frontend and backend services built with the Next.js, FastAPI, and Express.js frameworks. System evaluation was conducted using the User Acceptance Test (UAT) and the DeepEval framework. The evaluation results show a teacher satisfaction rate of 92.7% and a positive response from students at 67.5%. Meanwhile, the DeepEval assessment reported average scores of 3,69% for hallucination, 97,44% for contextual precision, 83,30% for contextual relevancy, 70,63% for answer relevancy, and 92,47% for prompt alignment. These findings indicate that the integration of LangChain and LLM is effective in generating contextually accurate and relevant questions, although improvements are still needed in answer relevancy. This study is expected to provide an efficient solution for digital-based educational assessment and contribute to future developments in educational AI.
Moral judgment in Religious Character Education: Applying Rest’s Four-Component Model in MTsN 2 Bandar Lampung, Indonesia Muarafa Nur Afif; Novri Rahman; Chairul Anwar
Sosio-Didaktika: Social Science Education Journal Vol. 12 No. 2 (2025)
Publisher : Faculty of Educational Sciences, UIN (State Islamic University) Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/sd.v12i2.49263

Abstract

This study aims to explore the processes of moral reasoning (moral judgment) among students in the context of religious character education at MTsN 2 Bandar Lampung and to identify the factors that influence it. Using a qualitative case study design, the research involved 28 eighth-grade students, teachers, and the school principal, selected purposively. Data were collected through participatory observation of religious activities, semi-structured interviews, moral vignettes, and document analysis. Data analysis employed the interactive model of Miles and Huberman. In contrast, data validity was ensured through source triangulation and member checking. The findings show that students’ moral judgment develops through the integration of religious experiences, spiritual habituation, and teacher role modelling. In social studies learning, activities such as socio-religious discussions, reflections on justice, and linking social phenomena to Islamic moral principles are essential for fostering students’ ethical decision-making abilities. Religious practices serve as reflective spaces for students to evaluate their actions in light of ethical and religious considerations. Honesty and justice emerge as the primary foundations of their moral reasoning, indicating a shift from the conventional to the post-conventional stage. Thus, students’ moral judgment is shaped not only by religious rituals but also by contextual and reflective social studies instruction. The integration of religious and social values strengthens the role of the madrasah as a space for cultivating transcendental morality and social awareness, demonstrating the relevance of Rest’s Four Component Model. Keywords: Moral Judgment, Religious Character Education, Social Studies