Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs
暂无分享,去创建一个
Hyo-Jeong So | Young Ju Joo | Nam Hee Kim | H. So | Y. Joo | N. Kim
[1] Xiaohui Chen,et al. Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model , 2017, Comput. Hum. Behav..
[2] Mingming Zhou,et al. Experiences of Autonomy and Control Among Chinese Learners: Vitalizing or Immobilizing?. , 2005 .
[3] Daniel A. Sass,et al. The Effects of Parceling Unidimensional Scales on Structural Parameter Estimates in Structural Equation Modeling , 2006 .
[4] John Daniel,et al. The Future of MOOCs: Adaptive Learning or Business Model? , 2015, International Journal of Educational Technology in Higher Education.
[5] R. Ryan,et al. Perceived locus of causality and internalization: Examining reasons for acting in two domains. , 1989 .
[6] Keith F. Widaman,et al. Unidimensional Versus Domain Representative Parceling of Questionnaire Items: An Empirical Example , 1994 .
[7] Eric T. G. Wang,et al. Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..
[8] David E. Pritchard,et al. Studying Learning in the Worldwide Classroom Research into edX's First MOOC. , 2013 .
[9] Tao Zhou,et al. Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow , 2011 .
[10] Peter A. Todd,et al. Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..
[11] Rex B. Kline,et al. Principles and Practice of Structural Equation Modeling , 1998 .
[12] Allison Littlejohn,et al. Learning in MOOCs: Motivations and self-regulated learning in MOOCs , 2016, Internet High. Educ..
[13] Li Yuan,et al. MOOCs and open education: Implications for higher education , 2013 .
[14] Ryan S. Baker,et al. Merlot Journal of Online Learning and Teaching Content or Platform: Why Do Students Complete Moocs? , 2022 .
[15] R. Vallerand,et al. Self-determination and persistence in a real-life setting: toward a motivational model of high school dropout. , 1997, Journal of personality and social psychology.
[16] Gayle S. Christensen,et al. The MOOC Phenomenon: Who Takes Massive Open Online Courses and Why? , 2013 .
[17] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[18] Mingming Zhou,et al. Chinese university students' acceptance of MOOCs: A self-determination perspective , 2016, Comput. Educ..
[19] K. Hew,et al. Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges , 2014 .
[20] Allison Littlejohn,et al. Why study on a MOOC? The motives of students and professionals , 2017 .
[21] Patrick Parslow,et al. Dropout: MOOC participants’perspective , 2014 .
[22] Doug Clow,et al. MOOCs and the funnel of participation , 2013, LAK '13.
[23] Anol Bhattacherjee,et al. Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..
[24] 이지현,et al. Path Analysis among Perceived Autonomy Support, Self-determination Motivation and Academic Performance in a Cyber University , 2012 .
[25] 홍승표,et al. Reconstructing the classificatory pattern of learning motivation proposed by self-determination theory , 2005 .
[26] Kar Yan Tam,et al. The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..
[27] Marguerite J. Dennis. The Impact of MOOCs on Higher Education. , 2012 .
[28] Lisa Chamberlin,et al. MOOCs: Massive Open Online Courses or Massive and Often Obtuse Courses? , 2011, ELERN.
[29] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[30] William R. King,et al. A meta-analysis of the technology acceptance model , 2006, Inf. Manag..
[31] E. Deci,et al. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.
[32] Katy Jordan,et al. Initial trends in enrolment and completion of massive open online courses , 2014 .
[33] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[34] R. Koestner,et al. The differential effects of intrinsic and identified motivation on well-being and performance: prospective, experimental, and implicit approaches to self-determination theory. , 2006, Journal of personality and social psychology.
[35] Anastasios A. Economides,et al. Mobile-Based Assessment: Integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance , 2017, Comput. Hum. Behav..
[36] Ching-Jen Chen,et al. Validating the Satisfaction and Continuance Intention of E-learning Systems: Combining TAM and IS Success Models , 2012, Int. J. Distance Educ. Technol..
[37] Hoi K. Suen,et al. Examining the Relations among Student Motivation, Engagement, and Retention in a MOOC: A Structural Equation Modeling Approach. , 2015 .
[38] J. Hair. Multivariate data analysis , 1972 .
[39] Patrick C. Shih,et al. Understanding Student Motivation, Behaviors and Perceptions in MOOCs , 2015, CSCW.
[40] Yvonne Belanger,et al. Bioelectricity: A Quantitative Approach Duke University’s First MOOC , 2013 .
[41] Chao-Min Chiu,et al. Understanding e-learning continuance intention: An extension of the Technology Acceptance Model , 2006, Int. J. Hum. Comput. Stud..
[42] Jie Zhang,et al. Antecedents of student MOOC revisit intention: Moderation effect of course difficulty , 2017, Int. J. Inf. Manag..
[43] Richard A. Spreng,et al. A Reexamination of the Determinants of Consumer Satisfaction , 1996 .
[44] Esteban Romero-Frías,et al. Personal Learning Environments Acceptance Model: The Role of Need for Cognition, e-Learning Satisfaction and Students. Perceptions , 2015, J. Educ. Technol. Soc..
[45] Paula de Barba,et al. The role of students' motivation and participation in predicting performance in a MOOC , 2016, J. Comput. Assist. Learn..
[46] Hangjung Zo,et al. Understanding the MOOCs continuance: The role of openness and reputation , 2015, Comput. Educ..