Serio AD, Ibanez MB, & Kloos CD. Effect of an augmented reality system on students’ motivation for a visual art course. Computers and education. 2013; 68: 586-596.
Bujak KR, Radu I, Catrambone R, MacIntyre B, Golubski G, & Zheng R. A psychological perspective on augmented reality in the mathematics Classroom. Computer and education.2013; 68: 536-544. https://doi.org/10.1016/j.compedu.2013.02.017
Rauschnabel PA, Brem A, & Ivens, B S. Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables. Computers in Human Behavior. 2015; 49 :635-647.doi: 10.1016/j.chb.2015.03.003
Patrick RPL, Zheng J, Guo Z & Li J. Speed reading on virtual reality and augmented reality. Computers & Education.2018;125:240-245. DOI: 10.1016/j.compedu.2018.06.016
Hwang WY, & Hu SS. Analysis of peer learning behaviors using multiple representations in virtual reality and their impacts on geometry problem solving. Computers & Education. 2013;62: 308–319.https://doi.org/10.1016/j.compedu.2012.10.005
Fransson BA, Chen C Y ,Noyes J A & Ragle CA. Instrument Motion Metrics for Laparoscopic Skills Assessment in Virtual Reality and Augmented Reality. VeterinarSurgery, American College of Veterinary Surgeons. 2016; 1- 9. doi: 10.1111/vsu.12483
Chang HY, Wu HK & Hsu YS. Integrating a mobile augmented reality activity to contextualize student learning of a socioscientiﬁc issue. British Journal of Educational Technology. 2013;3: 95-99.https://doi.org/10.1111/j.1467-8535.2012.01379.x
Kesima M, OzarslanbY. Augmented reality in education: current technologies and the potential for education. Procedia - Social and Behavioral Sciences.2012; 47: 297 – 302.
Davis FD, Bagozzi RP & Warshaw PR. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology.1992; 22 (14): 1111-1132.
Mubuke F, Ogenmungu C, Mayoka KG, Masaba AK & Andrew W. The predictability of perceived enjoyment and its effect on the intention to use mobile learning systems. Asian Journal of Computer Science and Information Technology.2017;7(1):1-7. http://dx.doi.org/10.15520/ajcsit.v6i8.51
Huang, Y. Empirical Analysis on Factors Effecting Mobile Learning Acceptance in Higher Engineering Education[dissertation].[ Tennessee ]:University of Tennessee;2014.
Nguyen D. Understanding Perceived Enjoyment and Continuance Intention in Mobile Games[dissertation].[Aalto]: Aalto University;2015.
Wong WT, & Huang NTN. The effects of eLearning system service quality and users' acceptance on organizational learning. International Journal of Business and Information. 2015; 6(2): 205-225.
Jambulingam M.Behavioral intention to adopt mobile technology among tertiary students. World Applied Sciences Journal. 2013 ;22(9): 1262-1271.
Yi, M. Y., & Hwang, Y. Predicting the use of web-based information systems: Self efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal Human-Computer Studies. 2003;59: 431-449. https://doi.org/10.1016/S1071-5819(03)00114-9
Ahmadi Deh Ghotbadini, M. & Moshkani, M. The Effect of Computer Self-Efficacy and Perceived Enjoyment on Davis, Technology Acceptance Model Constructs. Journal of Psychology. 2011; 15: 58-75.
Gou YM, Ro YK. Capturing Flow in the Business Classroom. Decision Sciences Journal of Innovative Education.2008; 6(2):437-462. DOI: 10.1111/j.1540-4609.2008. 00185.x
WeibelD, and Wissmath B. Immersion in Computer Games: The Role of Spatial Presence and Flow. International Journal of Computer Games Technology.2011; 2011, Article ID 282345, 14 pages doi:10.1155/2011/282345
Min Huang Y & Hsuan Lin P. Evaluating students’ learning achievement and flow experience with tablet PCs based on AR and tangible technology in u-learning. Library Hi Tech.2017;35(4):602-614.doi: 10.1108/LHT-01-2017-0023
Hatlevik OE, Throndsen I, Loi M & Gudmundsdottir GB. Students’ ICT self-eﬃcacy and computer and information literacy: Determinants and relationships. Computers & Education.2018;118:107-119.doi: 10.1016/j.compedu.2017.11.011
Bandura A. Self-efﬁcacy: Toward a unifying theory of behavioral change. Psychological Review.1977; 84(2):191-215. doi: 10.1037/0033-295X.84.2.191
Hwang Y, Lee Y & Shin DH. The role of goal awareness and information technology self-efficacy on job satisfaction of healthcare system users. Behavior & Information Technology.2016; 35(7):548-558. doi: 10.1080/0144929X.2016.1171396
Sun JCY & Rueda R. Situational interest, computer self-efficacy and self-regulation: their effect on student engagement in distance education.British Journal of Educational Technology.2012; 43(2):191-204. doi: 10.1111/j.1467-8535.2010.01157.x
Elias, S. M., & Loomis, R. J. Utilizing need for cognition and perceived self-efficacy to predict academic performance. Journal of Applied Social Psychology. 2002. 32(8): 1687-1702. https://doi.org/10.1111/j.1559-1816.2002.tb02770.x
Weniger, S., Loebbecke, C. Cognitive absorption: literature review and suitability in the context of hedonic IS usage. Department of business, media and technology management, University of Cologne, Germany. 2007.
Boyle EA, Connolly TM., Hainey T & Boyle JM. Engagement in digital entertainment games: A systematic review. Computers in Human Behavior.2012; 5(28), no.3:771-780 ISSN 0747-5632. DOI: http://dx.doi.org/10.1016/j.chb.2011.11.020.
Csikszentmihalyi M & Csikszentmihalyi I. Optimal experience. Psychological studies of ﬂow in Consciousness. Cambridge: Cambridge University Press; 1988.
Agarwal R, & Karahanna E. Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly.2000;24(4):665-694.doi: 10.2307/3250951
Huprich, j. Enhancing learner flow and cognitive absorption. 2019; Available from: https://experience.exceedlms.com/student/activity/453887
Cacioppo JT & Petty RE.The need for cognition. Journal of Personality and Social Psychology.1982; 42:116-131. http://dx.doi.org/10.1037/0022-35220.127.116.11
Petty R E, Brinol P, Loersch C & McCaslin,M J. The need for cognition. In M. R. Leary & R. H. Hoyle(Eds.), Handbook of individual differences in social behavior. New York: Guilford Press;2009.
Negahdari S, Seif MH, Farajollahi M & Rastegar A. Providing a Causal Model of Perceived Learning on the Basis of Digital Games. Quarterly Journal of Research in School and Virtual Learning. 2018;21(1): 105-119.
Li, Dahui and Browne, Glenn. The Role of Need for Cognition in Online Flow Experience: An Empirical Investigation. 2004; AMCIS, Proceedings.386.
Cacioppo JT, Petty RE & Kao C F. The efficient assessment of need for cognition. Journal of Personality Assessment.1984; 48: 306-307. http://dx.doi.org/10.1207/s15327752jpa4803_13
Sadowski CJ. An examination of the short need for cognition scale. Journal of Psychology.1993; 127:451-454. http://dx.doi.org/10.1080/00223980.1993.9915581
Rastegar, A. Presenting a Causal Model of Relationships between Need for Cognition andCognitive Engagement With Emphasis on the Mediating Role of Achievement Goals and Academic Emotion. Social Cognition. 2017;6(1): 8-26.
Kazuki, Y., Asakawa, K., Taro, Y., Satoshi, S., Daisuke, S., Yui, M. The Flow State Scale for Occupational Tasks: Development, Reliability, and Validity. Hong Kong Journal of Occupational Therapy. 2013;23: 54-61. http://dx.doi.org/10.1016/j.hkjot.2013.09.002
Reychav, I., Dezhi, W. Are your users actively involved? A cognitive absorption perspective in mobile training. Computers in Human Behavior. 2015; 44 :335–346. http://dx.doi.org/10.1016/j.chb.2014.09.021
Mahat, Mohd Ayub AF & Wong SL. An assessment of students’ mobile self-efficacy, readiness and personal innovativeness towards mobile learning in higher education in Malaysia. Social and behavioral sciences.2012; 64:284-290. https://doi.org/10.1016/j.sbspro.2012.11.033
Elias SM. & Loomis RJ. Utilizing Need for Cognition and Perceived Self-Efficacy to Predict Academic Performance. Journal of Applied Social Psychology.2002; 32(8): 1687-1 702. doi: 10.1111/j.1559-1816.2002.tb02770.x