TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Exploring the Determinants of MOOCs continuance intention |
¿µ¹®Á¦¸ñ(English Title) |
Exploring the Determinants of MOOCs continuance intention |
ÀúÀÚ(Author) |
Donghyuk Jo
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 12 NO. 08 PP. 3992 ~ 4005 (2018. 08) |
Çѱ۳»¿ë (Korean Abstract) |
|
¿µ¹®³»¿ë (English Abstract) |
In our current information-based society in which knowledge is a fundamental asset to production, the capability to utilize information and produce knowledge with the use of information technology (IT) has become essential to learning. Massive Open Online Courses (MOOCs) have recently been introduced in light of such changes and are recognized as an alternative to open education. MOOCs¡¯ capabilities are being acknowledged in lifelong education in terms of reeducation and knowledge sharing, and also in terms of improving teaching quality, and improving university students¡¯ levels of creativity and integrated thinking by supporting high-level content and teaching. Therefore, this study presents an extended research model that combines information system (IS) continuance and task-technology fit models. Our study researches previous literature, revealing factors of continuous use after accepting MOOCs from the learner¡¯s perspective, and analyzes the model empirically. The ideal environment for MOOCs learners is evaluated, and a strategic approach to the successful settlement and diffusion of MOOCs is presented based on this study¡¯s findings.
|
Å°¿öµå(Keyword) |
Massive Open Online Courses (MOOCs)
Task-Technology Fit
IS Continuance
Utilization
Perceived Usefulness
User Satisfaction
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|