Knowledge-Aware Learning Analytics Infrastructure to Support Smart Education and Learning

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Inital development in the previous year lead to the implementation and evaluation of several research sub-topics, and results were also disseminated in journals and international conferences, inlcuding a new knowledge tracing model based on the latest transformer deep learning model. The later is based on a BERT style transformer and outperformed the state-of-the-art deep knowledge tracing models at the time of presentation. Other research was also conducted to examine the explainability of more classic knowledge tracing models, such as: BKT by analyzing the internal parameters of the model and how they relate with the types of quizzes being recommended. An explainable group formation method was also proposed by applying a genetic algorithm to the creation of groups for study tasks based on the students current knowledge state as estimated by the knowledge map platform. A reading recommendation system was also designed based on the knowledge map platform preliminary evaluation was conducted in a school. The design of the system was presented as a poster paper at the leading conference on learning analytics, LAK.