Maria Koshkareva
ABSTRACT
This paper describes the development process of learning outcomes and prerequisite knowledge recommendation system based on the information about an academic course. The recommendation system is designed to be implemented in the service Educational Program Maker for working with education process elements. The recommendation system aims to help university staff members during academic course creation and, as a result, make the paperwork digitizing in universities easier and faster. Learning outcomes recommendations are computed with the Universal Sentence Encoder and learning content data. Prerequisite knowledge recommendations are calculated with information regarding curricula and concept domains. Developed algorithms were modified for implementation in the service, and interface prototypes for forms with displayed recommendations were created. Models were evaluated with the hit rate metric; the results showed that final models outperform baselines.
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Index Terms
- The Development of Learning Outcomes and Prerequisite Knowledge Recommendation System
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