Identifying Learning Styles from Chat Conversation using Ontology-Based Dynamic Bayesian Network Model

نتاج البحث

4 اقتباسات (Scopus)

ملخص

One of the commonly adopted parameters in personalized e-learning is learning style. As an individual trait, this parameter indicates the preferable learning object for a specific type of a learner. When considering collaborative learning environment through online chat and discussion, the learners can express their opinion on a shared learning object. Besides, level of interaction with the object is also important to identify the learning style. The nature of generated contents during discussion makes it difficult to extract the required information. In this paper we discuss how to identify the learning style from the learning object preferences expressed by the learner via the online discussion in a collaborative learning platform. To do so, the paper proposes an ontology-based Dynamic Bayesian Network (DBN) model to represent the relationship between the learning style and preferable learning object. The model also obtains the learner's opinion more than one time by using time slice to make the indication of learning styles more accurate. Consequently, providing the learner the appropriate personalized learning package.

اللغة الأصليةEnglish
عنوان منشور المضيف2018 8th International Conference on Computer Science and Information Technology, CSIT 2018
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات77-84
عدد الصفحات8
رقم المعيار الدولي للكتب (الإلكتروني)9781538641521
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أكتوبر 8 2018
الحدث8th International Conference on Computer Science and Information Technology, CSIT 2018 - Amman
المدة: يوليو ١١ ٢٠١٨يوليو ١٢ ٢٠١٨

Other

Other8th International Conference on Computer Science and Information Technology, CSIT 2018
الدولة/الإقليمJordan
المدينةAmman
المدة٧/١١/١٨٧/١٢/١٨

ASJC Scopus subject areas

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