Ontology-based recommender system for a learning sequence in programming languages

• Main Authors: Saman Shishehchi, Shishehchi, S., Mat Zin, N. A., & Abu Seman, E. A., Nor Azan Mat Zin, Esmadi Abu Abu Seman
• Format: Article
• Language: English; English
• Published: International Association of Online Engineering 2021
• Subjects: BF309-499 Consciousness. Cognition - Including learning, attention, comprehension, memory, imagination, genius, intelligence, thought and thinking, psycholinguistics, mental fatigue; QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/36437/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/36437/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/36437/; https://doi.org/10.33736/ijbs.3178.2021
• Institution: Universiti Malaysia Sabah

The same learning process in educational systems could be boring and time consuming for some learners. This problem arises from the lack of personalized learning sequence for learners with different knowledge level. Recommender systems play an important role in assisting the learners to find suitabl...