What impacts learning with wearables? An integrated theoretical model

Wearable technologies are becoming more pervasive with the development of high computational capability devices such as smartwatches, smart glasses, smart pills, and sensors. The emergence of these...

[1]  Jan Noyes,et al.  An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach , 2011, Comput. Educ..

[2]  Namho Chung,et al.  The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea , 2011 .

[3]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

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

[5]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[6]  Tao Zhou,et al.  Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow , 2011 .

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

[8]  P. Kishore Kumar.  Consumer Perception and Purchase Intention towards Smartwatches , 2017 .

[9]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[10]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[11]  Francisco J. García-Peñalvo,et al.  Learning with mobile technologies - Students' behavior , 2017, Comput. Hum. Behav..

[12]  Jaeki Song,et al.  An investigation of mobile learning readiness in higher education based on the theory of planned behavior , 2012, Comput. Educ..

[13]  Hsiu-Li Liao,et al.  Impact of media richness and flow on e-learning technology acceptance , 2009, Comput. Educ..

[14]  Geoffrey S. Hubona,et al.  Using PLS path modeling in new technology research: updated guidelines , 2016, Ind. Manag. Data Syst..

[15]  R. V. Krejcie,et al.  Determining Sample Size for Research Activities , 1970 .

[16]  B. Ponce,et al.  Emerging technology in surgical education: combining real-time augmented reality and wearable computing devices. , 2014, Orthopedics.

[17]  Yung-Shen Yen,et al.  Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit , 2016, Comput. Hum. Behav..

[18]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[19]  Adai Mohammad Al-Momani,et al.  Modeling the adoption of internet of things services: A conceptual framework , 2016 .

[20]  Ming-Chi Lee,et al.  Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model , 2010, Comput. Educ..

[21]  Yu-Ru Lin,et al.  Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model , 2007, Electron. Libr..

[22]  T. Oliveira,et al.  Wearable technology: What explains continuance intention in smartwatches? , 2018, Journal of Retailing and Consumer Services.

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

[24]  P. Bonato,et al.  From A to Z: Wearable technology explained. , 2018, Maturitas.

[25]  Yukun Bao,et al.  Acceptance and use predictors of fitness wearable technology and intention to recommend , 2019, Ind. Manag. Data Syst..

[26]  M. Nilashi,et al.  Explaining Students’ Continuance Intention to Use Mobile Web 2.0 Learning and Their Perceived Learning: An Integrated Approach , 2018, Journal of Educational Computing Research.

[27]  ZhouMingming.  Chinese university students' acceptance of MOOCs , 2016 .

[28]  Taejung Kim,et al.  Consumer acceptance of sports wearable technology: the role of technology readiness , 2019, International Journal of Sports Marketing and Sponsorship.

[29]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[30]  Alain Yee-Loong Chong,et al.  An updated and expanded assessment of PLS-SEM in information systems research , 2017, Ind. Manag. Data Syst..

[31]  I. Ajzen.  The theory of planned behavior , 1991 .