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Yıl 2020, Cilt 21, Sayı 3, 156 - 169, 01.07.2020
https://doi.org/10.17718/tojde.762045

Öz

Kaynakça

  • Haykin, S. (2004). Neural Networks: A Comprehensive Foundation. Pearson Education.

ARTIFICIAL NEURAL NETWORK APPROACH TO PREDICT LMS ACCEPTANCE OF VOCATIONAL SCHOOL STUDENTS

Yıl 2020, Cilt 21, Sayı 3, 156 - 169, 01.07.2020
https://doi.org/10.17718/tojde.762045

Öz

The contribution of e-learning technologies, especially LMS which has become an important component of e-learning, is significantly increasing in higher education. It is critical to understand the factors that affect the behavioral intention of students towards LMS use. The aim of this study is to explore predictors of students’ acceptance of Course Portal at a postsecondary vocational school level. We utilised a framework suggested by Sezer and Yilmaz (2019) for understanding students’ acceptance of LMS. This framework obtains the main constructs in UTAUT: namely, performance expectancy, effort expectancy, social influence and facilitating conditions. More external variables, associate degree programs, high school type, academic grade point average were also adopted. Accordingly, 387 students were answered the questionnaire for investigating behavioral intention. Artificial neural network analysis (ANN) was used to predict students’ acceptance of LMS use according to variables associated with their use of LMS technology. ANN analyses in the present study revealed that performance expectancy, effort expectancy, social influence and facilitating conditions are important predictors of students’ behavioral intention to use LMS. Nevertheless, performance expectancy was found to be the most influencing predictor of LMS use. The analyses of this research provides evidence on the utilization of ANN to predict the determining factors of LMS acceptance.

Kaynakça

  • Haykin, S. (2004). Neural Networks: A Comprehensive Foundation. Pearson Education.

Ayrıntılar

Birincil Dil İngilizce
Konular Sosyal
Bölüm Articles
Yazarlar

Umut Birkan ÖZKAN (Sorumlu Yazar)
National Defence University
0000-0001-8978-3213
Türkiye


Harun CİGDEM
National Defence University
0000-0001-5958-5216
Türkiye


Tolga ERDOGAN
TED ÜNİVERSİTESİ
0000-0002-1921-5517
Türkiye

Yayımlanma Tarihi 1 Temmuz 2020
Başvuru Tarihi 20 Haziran 2019
Kabul Tarihi
Yayınlandığı Sayı Yıl 2020, Cilt 21, Sayı 3

Kaynak Göster

APA Özkan, U. B. , Cigdem, H. & Erdogan, T. (2020). ARTIFICIAL NEURAL NETWORK APPROACH TO PREDICT LMS ACCEPTANCE OF VOCATIONAL SCHOOL STUDENTS . Turkish Online Journal of Distance Education , 21 (3) , 156-169 . DOI: 10.17718/tojde.762045