- Tytuł:
- Recommending learning material in Intelligent Tutoring Systems
- Autorzy:
- Bernacki, J.
- Powiązania:
- https://bibliotekanauki.pl/articles/106154.pdf
- Data publikacji:
- 2016
- Wydawca:
- Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
- Tematy:
-
e-learning
analytics
ahp
Analytic Hierarchy Process - Opis:
- Nowadays, intelligent e-learning systems which can adapt to learner's needs and preferences, became very popular. Many studies have demonstrated that such systems can increase the eects of learning. However, providing adaptability requires consideration of many factors. The main problems concern user modeling and personalization, collaborative learning, determining and modifying learning senarios, analyzing learner's learning styles. Determining the optimal learning scenario adapted to students' needs is very important part of an e-learning system. According to psychological research, learning path should follow the students' needs, such as (i.a.): content, level of diculty or presentation version. Optimal learning path can allow for easier and faster gaining of knowledge. In this paper an overview of methods for recommending learning material is presented. Moreover, a method for determining a learning scenario in Intelligent Tutoring Systems is proposed. For this purpose, an Analytic Hierarchy Process (AHP) method is used.
- Źródło:
-
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2016, 16, 1; 1-11
1732-1360
2083-3628 - Pojawia się w:
- Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
- Dostawca treści:
- Biblioteka Nauki
Artykuł