International Journal of Interactive Mobile Technologies (iJIM), Год журнала: 2024, Номер 18(24), С. 115 - 129
Опубликована: Дек. 17, 2024
With the rapid advancement of mobile interaction technology, teaching methodologies in higher education are increasingly moving toward personalization and intelligence. The use technology for adaptive recommendation content has become a critical topic enhancing educational effectiveness. Existing research recommendation, primarily based on collaborative filtering algorithms, often relies single-dimensional data applications lacks comprehensive consideration both location information temporal effects. Consequently, these approaches fall short addressing complex requirements dynamic learning environments. This study proposes multi-dimensional system to address limitations existing methods. encompasses location-based content, time-effect-based filtering, an integrated model that considers factors. is expected provide more precise dynamically solution personalized education.
Язык: Английский