Scopus
Improving of personal educational content using big data approach for mooc in higher education
2016 15th International Conference on Information Technology Based Higher Education and Training, ITHET 2016 · Kasım 2016
Makale Bilgileri
Dergi2016 15th International Conference on Information Technology Based Higher Education and Training, ITHET 2016
Yayın TarihiKasım 2016
Scopus ID2-s2.0-85007315497
Özet
Today, web-based education technologies such as e-learning, distance learning, online course, virtual classrooms and interactive learning are commonly used outside the traditional education systems. Massive Open Online Courses, which were adopted with the evolution of these systems in 2008, have become the most popular education systems of today and access to a very large audiences with many modules such as video courses, documents, interactive learning activities and quizzes in themselves. In this study, a machine learning and big data based approach has been presented for the mentioned online education systems. With the proposed approach, it is aimed to develop course contents in online education, offer student-specific learning activities, perform an analysis according to criteria such as age, gender, occupation, education level and location, and to obtain decisions with strategic importance such as determining the course prerequisites to be developed by big data-based analysis.
Yazarlar (3)
1
Yunus Santur
2
Mehmet Karaköse
3
Erhan Akin
ORCID: 0000-0001-6476-9255
Anahtar Kelimeler
big data
deep learning
higher education
machine learning
massive open online course
mooc
Kurumlar
Firat Üniversitesi
Elazig Turkey
Metrikler
10
Atıf
3
Yazar
6
Anahtar Kelime