Adaptive Game Design using Case-based Reasoning Method for High Performance Computing Learning

Adaptive gamification in E‐learning: A literature review and future challenges

“…Assiroj et al [2] studied a case‐based reasoning (CBR) framework. The authors' results of this study are expected to become inputs to game designers, particularly games for education, to propose enjoyable and educating games.…”

“…In this study, the personalized learning concept in education was defined as an “instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner.” Computer games with adaptivity functionality are considered information and communication technology. It is very instrumental to use tools for personalized learning such as games, which allow learners to access information, and provide a mechanism for communication and recording learning achievements [2].…”

“…According to the study of Llorens‐Largo et al [52], machine learning plays a crucial role in the improvement of gamification in the gamification field, which is expected to become inputs to game designers, particularly games for education, to propose enjoyable and educating games. Hallifax [31] and Assiroj et al [2] outlined that CBR can be recommended as the main solution of game adaptivity. Its principles are to generate hypotheses about new situations based on the learners' experiences to learn a new skill.…”

“…Because of the limitations of the “one size fits all” methodology, the implementation of Gamification has yet to yield the desired results. In current works proposed in the literature (e.g., [2,31,35,47]), the degree of personalization/adaptation provided to a learner was very limited and did not provide empirical evidence of its implementation or feasibility. We also found: The lack of a general framework, which addresses the design considerations and principles of such adaptive gamification in e‐learning although the literature abounds with research articles on the need for the personalization of gamification approaches; In the majority of cases, all learners acted in the same way, and the standard gamification approaches lacked personalization; Very limited number of adaptive gamification approaches studied the need to consider both the adaptation of game design and the elements of gamification to a student's profile; Limited application of adaptive gamification in e‐learning; Limited application of AI to offer a dynamic adaptation gamification engine.…”

Membangun Game Pembelajaran High Performance Computing (HPC) dengan Pendekatan Case-based Reasoning (CBR)

“…Framework of Adaptive Game using CBR Method [26] Techno F. Metode Waterfall Metode ini sering dinamakan siklus hidup klasik (classic life cycle), dimana hal ini menggambarkan pendekatan yang sistematis dan juga berurutan pada pengembangan perangkat lunak, dimulai dengan spesifikasi kebutuhan pengguna lalu berlanjut melalui tahapan-tahapan perencanaan (planning), permodelan (modeling), konstruksi (construction), serta penyerahan sistem ke para pelanggan/pengguna (deployment), yang diakhiri dengan dukungan pada perangkat lunak lengkap yang dihasilkan [22].…”