Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model

ABSTRACTIn spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to inv...

[1]  Keri K. Stephens,et al.  Design simplicity influences patient portal use: the role of aesthetic evaluations for technology acceptance , 2016, J. Am. Medical Informatics Assoc..

[2]  Lei-da Chen,et al.  Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance , 2004 .

[3]  Ingoo Han,et al.  The impact of the online and offline features on the user acceptance of Internet shopping malls , 2004, Electron. Commer. Res. Appl..

[4]  Ángel Francisco Agudo-Peregrina,et al.  Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning , 2014, Comput. Hum. Behav..

[5]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[6]  Jie Zhang,et al.  Can MOOCs be interesting to students? An experimental investigation from regulatory focus perspective , 2016, Comput. Educ..

[7]  Zhimin Zhou,et al.  Factors affecting reposting behaviour using a mobile phone-based user-generated-content online community application among Chinese young adults , 2018, Behav. Inf. Technol..

[8]  Alexandru Balog,et al.  The Role of Perceived Enjoyment in the Students’ Acceptance of an Augmented Reality Teaching Platform: a Structural Equation Modelling Approach , 2010 .

[9]  Nigel Bevan,et al.  Measuring usability as quality of use , 1995, Software Quality Journal.

[10]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[11]  Dianne Cyr,et al.  Design aesthetics leading to m-loyalty in mobile commerce , 2006, Inf. Manag..

[12]  John Michael Pearson,et al.  Integrating website usability with the electronic commerce acceptance model , 2011, Behav. Inf. Technol..

[13]  Meltem Huri Baturay.  An Overview of the World of MOOCs , 2015 .

[14]  Chia-Chen Chen,et al.  What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement , 2018, Telematics Informatics.

[15]  A. E. Bayraktaroglu,et al.  Predicting the Intention to Use a Web‐Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model , 2014 .

[16]  Joseph A. Diaz,et al.  Patients’ use of the internet for medical information , 2002, Journal of General Internal Medicine.

[17]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[18]  Karl Steffens,et al.  Are MOOCs Promising Learning Environments , 2015 .

[19]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[20]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[21]  Wei Zhang,et al.  The roles of initial trust and perceived risk in public’s acceptance of automated vehicles , 2019, Transportation Research Part C: Emerging Technologies.

[22]  Allison Littlejohn,et al.  Instructional quality of Massive Open Online Courses (MOOCs) , 2015, Comput. Educ..

[23]  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..

[24]  Marc Hassenzahl,et al.  The Interplay of Beauty, Goodness, and Usability in Interactive Products , 2004, Hum. Comput. Interact..

[25]  Xingda Qu,et al.  A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies , 2020, Comput. Hum. Behav..

[26]  Marjan Hericko,et al.  A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types , 2011, Comput. Hum. Behav..

[27]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[28]  Xingda Qu,et al.  Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users , 2018, Computers, informatics, nursing : CIN.

[29]  Hossein Mohammadi,et al.  Factors affecting the e-learning outcomes: An integration of TAM and IS success model , 2015, Telematics Informatics.

[30]  Hong Chen,et al.  Role of Instructors' Forum Interactions With Students in Promoting MOOC Continuance , 2018, J. Glob. Inf. Manag..

[31]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[32]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

[33]  Chia-Chen Chen,et al.  What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value , 2018, Telematics Informatics.

[34]  Rafael Jaron,et al.  Effects of Different Website Designs on First Impressions, Aesthetic Judgements and Memory Performance after Short Presentation , 2016, Interact. Comput..

[35]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[36]  Alissa L. Russ,et al.  Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation. , 2014, Journal of the American Medical Informatics Association : JAMIA.

[37]  Dongwon Lee,et al.  Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty , 2015, Inf. Manag..

[38]  Ulrik Schroeder,et al.  A Usability Evaluation of a Blended MOOC Environment: An Experimental Case Study. , 2015 .

[39]  Seymour Papert,et al.  Software Design as a Learning Environment , 1990, Interact. Learn. Environ..

[40]  Luis L. Martins,et al.  A Model of Business School Students' Acceptance of a Web-Based Course , 2004 .

[41]  Chien Chou,et al.  Can more interactivity improve learning achievement in an online course? Effects of college students' perception and actual use of a course-management system on their learning achievement , 2015, Comput. Educ..

[42]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[43]  Yukun Bao,et al.  What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators , 2019, ArXiv.

[44]  Chun-Chieh Wang,et al.  An empirical study of instructor adoption of web-based learning systems , 2009, Comput. Educ..

[45]  Jeongmin Lee,et al.  Learning Engagement and Persistence in Massive Open Online Courses (MOOCS) , 2018, Comput. Educ..

[46]  C. Blewett,et al.  Factors Affecting MOOC Usage by Students in Selected Ghanaian Universities , 2018 .

[47]  Mingming Zhou,et al.  Chinese university students' acceptance of MOOCs: A self-determination perspective , 2016, Comput. Educ..

[48]  Patricia Flatley Brennan,et al.  Factors affecting home care patients' acceptance of a web-based interactive self-management technology , 2011, J. Am. Medical Informatics Assoc..

[49]  Fethi Calisir,et al.  The relation of interface usability characteristics, perceived usefulness, and perceived ease of use to end-user satisfaction with enterprise resource planning (ERP) systems , 2004, Comput. Hum. Behav..

[50]  René F. Kizilcec,et al.  Closing global achievement gaps in MOOCs , 2017, Science.

[51]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[52]  Paul van Schaik,et al.  An integrated model of interaction experience for information retrieval in a Web-based encyclopaedia , 2011, Interact. Comput..

[53]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[54]  Chia-Chen Chen,et al.  Understanding MOOC continuance: An empirical examination of social support theory , 2018, Interact. Learn. Environ..

[55]  Da Tao,et al.  Usability Study of a Computer-Based Self-Management System for Older Adults with Chronic Diseases , 2012, JMIR research protocols.

[56]  D. Belanche,et al.  Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk , 2012 .

[57]  Mitja Decman,et al.  Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender , 2015, Comput. Hum. Behav..

[58]  Chao-Min Chiu,et al.  Understanding e-learning continuance intention: An extension of the Technology Acceptance Model , 2006, Int. J. Hum. Comput. Stud..