Dergiler / Eurasian Journal of Educational Research / 2018 / Cilt: 78 - Sayı: 78

Examination of Factors Affecting Continuance Intention to use Web-Based Distance Learning System via Structural Equation Modelling

Sayfa
43–66
Yayın Tarihi
2022-10-18
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Web-based distance learning systems, which have become widely used especially by companies, can be expanded via studies to be conducted within these environments.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Purpose: The present study aims to model continuance intention to use web-based distance learning system and reveal the relationship between structures.
📊
Temel Bulgular & Veri:Method: In this study, factors affecting continuance intention to use a web-based distance learning system was examined with a sample of 104 students attending an initial teacher training program through a web-based distance learning system at Van Yüzüncü Yıl University.
💡
Sonuç & Katkı:Web-based distance learning systems, which have become widely used especially by companies, can be expanded via studies to be conducted within these environments.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Purpose: The present study aims to model continuance intention to use web-based distance learning system and reveal the relationship between structures. Method: In this study, factors affecting continuance intention to use a web-based distance learning system was examined with a sample of 104 students attending an initial teacher training program through a web-based distance learning system at Van Yüzüncü Yıl University. The structures used in the study were identified as a result of a detailed review of literature. Moreover, complex structure of web-based distance learning systems, which included many components, were analyzed. Technology Acceptance Model and Expectancy Disconfirmation Theory were used in determining the model to be used, and comprehensive research was conducted. Findings: continuance intention to use web-based distance learning system was indirectly affected by perceived quality, perceived control, perceived usability; and was directly affected by satisfaction. Implications for Research and Practice: Similar studies can be conducted with different student/user groups by different distance learning centers and institutions that provide distance learning services. Web-based distance learning systems, which have become widely used especially by companies, can be expanded via studies to be conducted within these environments.

🔖

Bu Makaleye Atıf Yap

BAĞCI, K., ÇELİK, H. E. (2022). Examination of Factors Affecting Continuance Intention to use Web-Based Distance Learning System via Structural Equation Modelling. Eurasian Journal of Educational Research, Cilt: 78 - Sayı: 78, 43–66. https://ajindex.com/articles/507149

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (11)

  1. Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly 24 (4), 665–694.
  2. Agarwal, R., Sambamurthy, V., & Stair, R.M. (2000). Research report: the evolving relationship between general and specific computer self efficacy-an empirical assessment. Information Systems Research, 11(4), 418–430.
  3. Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information and Management, 44(3), 263-275.
  4. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall. Ajzen, I., & Fishbein, M. (Eds). (2005). The influence of attitudes on behavior. In D. Albarracín, B.T. Johnson, & M.P. Zanna (Ed.), The handbook of attitudes (pp. 173- 222). Mahwah, New Jersey: Lawrence Erlbaum Associates. Altıparmak, M., Kurt, İ. D., & Kapıdere, M. (2011). E-öğrenme ve uzaktan eğitimde açık kaynak kodlu öğrenme yönetim sistemleri [Open source learning management systems in e-learning and distance education]. XI. Akademik Bilişim Kongresi. Bailey, J.E., & Pearson, S.W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science 29 (5), 530–545.
  5. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. New Jersey: Prentice-Hall. Baroudi, J.J., & Orlikowski, W.J. (1988). A short form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of Management Information Systems 4 (4), 44–59.
  6. Bhattacherjee, A. (2000). Acceptance of Internet applications services: The case of electronic Brokerages. IEEE Transactions on systems, Man, and Cybernetics—Part A: Systems and Humans 30, 411–420.
  7. Bhattacherjee, A. (2001a). Understanding information systems continuance: An expectation–confirmation mode. MIS Quarterly 25 (3), 351–370.
  8. Bhattacherjee, A. (2001b). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems 32 (2), 201–214.
  9. Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843-855.
  10. Bitner, M. J. (1990). Evaluating service encounters: The effects of physical surroundings and employee responses. The Journal of Marketing, 69-82.
  11. Byrne, R. W., & Ru