Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal    
Yazarlar (9)
Ramazan Yılmaz
Türkiye
Halil Yurdugül
Türkiye
Fatma Gizem Karaoğlan Yılmaz
Türkiye
Muhittin Şahin
Türkiye
Sema Sulak Güzey
Türkiye
Furkan Aydın
Kahramanmaraş Sütçü İmam Üniversitesi, Türkiye
Mustafa Tepgeç
Türkiye
Ömer Oral
Türkiye
Makale Türü Açık Erişim Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayınlanan tam makale
Dergi Adı Computers and Education: Artificial Intelligence
Dergi ISSN 2666-920X Scopus Dergi
Dergi Tarandığı Indeksler Scopus; Directory of Open Access Journals (DOAJ); SCImago Journal Rank (SJR); SNIP; dblp - Computer Science Bibliography; Ei Compendex
Makale Dili İngilizce
Basım Tarihi 01-2022
Cilt No 3
Sayfalar 1 / 12
DOI Numarası 10.1016/j.caeai.2022.100092
Makale Linki https://doi.org/10.1016/j.caeai.2022.100092
Özet
Massive Open Online Courses (MOOCs) are a type of Learning Management Systems (LMSs), but it seems that the influence of the instructor in these systems is minimal or simply lacking. These systems present the learning content and materials to all learners attending the course in the same way and fail to offer individualized instruction that recognizes the individual differences and needs of the learners. It is reported that such problems can be eliminated by making the new generation intelligent learning systems. However, there is still an ongoing search for making such systems intelligent and a conceptual discussion concerning them. Integrating an intelligent tutoring system (ITS) with learning analytics, this study seeks to design and present the framework of an ITS with open access that a) identifies the learning needs of learners through adaptive mastery testing and guides learners based on these needs, b …
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