Yunifa Miftachul Arif, Hani Nurhayati, Ahmad Fahmi Karami, Nisa Ayunda, A’ang Subiyakto, Agariadne Dwinggo Samala, Santiago Criollo-C
Assembly learning is an important component in computer education in terms of emphasizing the understanding of computer components and their functions. This study explores the evolving learning methodologies and media to convey this knowledge, especially in today’s era of advanced technology characterized by online interactions. However, the real difficulty in the learning process is guiding students to relevant learning resources. Therefore, this study proposes the integration of Multi-Criteria Recommender System (MCRS) in metaverse, so that we can use the pretest as a reference and make appropriate learning material recommendations. The purpose of integrating the recommendation system into the virtual learning environment is to improve the computer assembly learning process so that students get the right materials and the best learning outcomes. The test results show that the recommender system can generate appropriate learning material recommendations for players, and the Metaverse-based Computer Virtual Laboratory (MCVL) also received a good usability rating. © 2025 Taylor & Francis Group, LLC.
Department of Informatics Engineering, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia; Department of Electrical Engineering, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia; Department of Mathematics, Universitas Pesantren Tinggi Darul’ Ulum, Jombang, Indonesia; Department of Information Systems, Universitas Islam Negeri Syarif Hidayatullah Jakarta, Indonesia; Faculty of Engineering, Universitas Negeri Padang, Padang, Indonesia; Carrera de Ingeniería en Ciberseguridad, Universidad de Las Américas, Quito, Ecuador
