Deleted Journal, Journal Year: 2024, Volume and Issue: 20(6s), P. 2124 - 2134
Published: April 29, 2024
A course recommendation algorithm utilizes data about a user's preferences, past behaviour, and possibly other factors like demographics or interests to suggest relevant courses. It employs techniques such as collaborative filtering, content-based hybrid approaches analyse similarities between users courses make personalized recommendations. By continuously refining its suggestions based on user feedback interactions, the aims enhance learning experience by presenting that align with their goals. This paper explores integration of design principles systems experiences in distance education platforms. The is performed filtering edge computing model for estimation features education. Collaborative applied platform through implemented processing. With increasing popularity online learning, there growing need tailor educational content meet diverse needs, skill levels individual learners. Course plays crucial role shaping structure delivery materials, while leverage provide suggestions. integrating these two components, platforms can create tailored pathways optimize engagement, retention, outcomes. analysis further enriched showcasing recommendations users, highlighting how aspects deliver experiences.
Language: Английский