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References
- Alnabhan, M., & Aljaraideh, Y. (2014). [JOURNAL BI] Collaborative M-Learning Adoption Model: A Case Study for Jordan. International Journal of Emerging Technologies in Learning (iJET), 9(8), 4. http://doi.org/10.3991/ijet.v9i8.3639
- Cliffe, A. D. (2017). A review of the benefits and drawbacks to virtual field guides in today’s Geoscience higher education environment. International Journal of Educational Technology in Higher Education, 14(1). http://doi.org/10.1186/s41239-017-0066-x
- Dr. Simon Moss. (2009). Theory of planned behavior Theory of planned behavior, 1–8. http://doi.org/10.1037/t15668-000
- Ferdousi, B., Carolina, S., & Levy, Y. (2010). Development and Validation of a Model to Investigate the Impact of Individual Factors on Instructors ’ Intention to Use E-learning Systems, 6(2006).
- Ferreira, J. J., Raposo, M. L., Rodrigues, R. G., Dinis, A., & Paço, A. Do. (2012). A model of entrepreneurial intention: An application of the psychological and behavioral approaches. Journal of Small Business and Enterprise Development, 19(3), 424–440. http://doi.org/10.1108/14626001211250144
- Fokides, E. (2017). Greek Pre- service Teachers ’ In tentions to Use Computers as In-service Teachers. CONTEMPORARY EDUCATIONAL TECHNOLOGY, 8(1), 56–75.
- Fokides, E., & Author, C. (2017). P RE -S ERVICE T EACHERS ’ I NTENTION TO U SE MUVE S AS P RACTITIONERS – A S TRUCTURAL E QUATION M ODELING A PPROACH, 16, 47–68.
- Han, I., & Shin, W. S. (2016). The use of a mobile learning management system and academic achievement of online students. Computers & Education, 102, 79–89. http://doi.org/10.1016/j.compedu.2016.07.003
- Higgins, E. T., Locke, J., & James, W. (n.d.). Elf fficacy, 814–817.
- Hilao, M. P. (2017). GENDER DIFFERENCES IN MOBILE PHONE USAGE FOR LANGUAGE LEARNING , ATTITUDE , AND PERFORMANCE, (April), 68–80.
- Huang, N. N., & Chiu, L. (2016). Relationship Among Students ’ Problem-Solving Attitude , Perceived Value , Behavioral Attitude , and Intention to Participate in a Science and Technology Contest, 1419–1435. http://doi.org/10.1007/s10763-015-9665-y
- Hussein, A., & Zolait, S. (2014). The nature and components of perceived behavioural control as an element of theory of planned behaviour, 33(1), 65–84.
- Ifinedo, P. (2009). The Technology Acceptance Model ( TAM ) and the Continuance Intention of Using WebCT : A Case of College Students in Estonia. Information Communication Technologies for Enhanced Education and Learning: Advanced Applications and Developments, 29–44. http://doi.org/10.4018/978-1-60566-150-6.ch003
- Kavanagh, S., Luxton-Reilly, A., Wüensche, B., & Plimmer, B. (2017). A Systematic Review of Virtual Reality in Education. Themes in Science and Technology Education, 10(2), 85–119.
- Kenny, R. F., Neste-kenny, J. M. C. Van, Park, C. L., Burton, P. A., & Meiers, J. (2009). Mobile Learning in Nursing Practice Education : Applying Koole â€TM s FRAME Model, 23(3), 75–96.
- Lee, Y., Hsieh, Y., & Chen, Y. (2013). An investigation of employees ’ use of e-learning systems : applying the technology acceptance model, 32(2), 173–189.
- Lynch, R. (2004). International Review of Research in Open and Distance Learning ISSN : 1492-3831 The Relationship Between Self-Regulation and Online Learning in a Blended Learning Context Self-Regulatory Attributes Predictive of Distance Learner Success, 1–14.
- Makoe, M. (2012). Teaching digital natives : Identifying competencies for mobile learning facilitators in distance education, 26(1), 91–104.
- Orientations, M., Beliefs, E., Students, T., & Learning, E. F. L. (2017). Eurasian Journal of Educational Research, 67, 251–267.
- Park, S. Y., Nam, M.-W., & Cha, S.-B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605. http://doi.org/10.1111/j.1467-8535.2011.01229.x
- Parson, V., & Bignell, S. (2017). An Investigation into Cooperative Learning in a Virtual World using Problem-Based Learning. Online Learning, 21(2). http://doi.org/10.24059/olj.v21i2.796
- Press, I. R. M. (2008). Examining . Consumer Broadband . Adoption ,. Usage ,. and . Impact.
- Quinn, B. C. N. (n.d.). LEARNING ABOUT There seems to be little doubt that the introduction of smartphones and handheld devices have ushered in a new age of mobility that will have profound implications on how people interact with the world and with each other . In his book , De.
- Razzaq, A., Samiha, Y. T., & Anshari, M. (n.d.). Smartphone Habits and Behaviors in Supporting Students Self-Efficacy, 94–110.
- Şahİn, S., & Mcilroy, D. (2014). TECHNOLOGY ACCEPTANCE MEASURE FOR TEACHERS : T-TAM, 10(4), 885–917.
- Tang, J. E., Tang, T., & Chiang, C. (2014). Blog learning : effects of users ’ usefulness and efficiency towards continuance intention, 33(1), 36–50.
- Technology, A., Tam, M., & Study, A. C. (2010). Investigating Students ’ Behavioral Intention to use, 17(1).
- Vilkonis, R., Bakanovienė, T., & Turskienė, S. (2013). Readiness of Adults to Learn Using E-learning , M-learning and T-learning Technologies, 12(2), 181–190.
- Waely, S. A., & Aburezeq, I. M. (2013). Using Blogs to Facilitate Interactive and Effective Learning: Perceptions of Pre-service Arabic Teachers. Journal of Language Teaching and Research, 4(5), 975–985. http://doi.org/10.4304/jltr.4.5.975-985
- Wang, D., Xu, L., & Chuan, H. (2015). Understanding the continuance use of social network sites : a computer self-efficacy perspective, 34(2), 204–216.
- Wang, F. (2018). Computer Distance Virtual Experiment Teaching Application Based on Virtual Reality Technology, 13(4), 83–95.
- Wang, M., Shen, R., Novak, D., & Pan, X. (2009). blended classroom, 40(4), 673–696. http://doi.org/10.1111/j.1467-8535.2008.00846.x
- Zhang, M., Zhang, Z., Chang, Y., Aziz, E.-S., Esche, S., & Chassapis, C. (2018). Paper—Recent Developments in Game-Based Virtual Reality Educational Laboratories Using the … Recent Developments in Game-Based Virtual Reality Educational Laboratories Using the Microsoft Kinect, 13, 138–159. http://doi.org/10.3991/ijet.v13i01.7773
References
Alnabhan, M., & Aljaraideh, Y. (2014). [JOURNAL BI] Collaborative M-Learning Adoption Model: A Case Study for Jordan. International Journal of Emerging Technologies in Learning (iJET), 9(8), 4. http://doi.org/10.3991/ijet.v9i8.3639
Cliffe, A. D. (2017). A review of the benefits and drawbacks to virtual field guides in today’s Geoscience higher education environment. International Journal of Educational Technology in Higher Education, 14(1). http://doi.org/10.1186/s41239-017-0066-x
Dr. Simon Moss. (2009). Theory of planned behavior Theory of planned behavior, 1–8. http://doi.org/10.1037/t15668-000
Ferdousi, B., Carolina, S., & Levy, Y. (2010). Development and Validation of a Model to Investigate the Impact of Individual Factors on Instructors ’ Intention to Use E-learning Systems, 6(2006).
Ferreira, J. J., Raposo, M. L., Rodrigues, R. G., Dinis, A., & Paço, A. Do. (2012). A model of entrepreneurial intention: An application of the psychological and behavioral approaches. Journal of Small Business and Enterprise Development, 19(3), 424–440. http://doi.org/10.1108/14626001211250144
Fokides, E. (2017). Greek Pre- service Teachers ’ In tentions to Use Computers as In-service Teachers. CONTEMPORARY EDUCATIONAL TECHNOLOGY, 8(1), 56–75.
Fokides, E., & Author, C. (2017). P RE -S ERVICE T EACHERS ’ I NTENTION TO U SE MUVE S AS P RACTITIONERS – A S TRUCTURAL E QUATION M ODELING A PPROACH, 16, 47–68.
Han, I., & Shin, W. S. (2016). The use of a mobile learning management system and academic achievement of online students. Computers & Education, 102, 79–89. http://doi.org/10.1016/j.compedu.2016.07.003
Higgins, E. T., Locke, J., & James, W. (n.d.). Elf fficacy, 814–817.
Hilao, M. P. (2017). GENDER DIFFERENCES IN MOBILE PHONE USAGE FOR LANGUAGE LEARNING , ATTITUDE , AND PERFORMANCE, (April), 68–80.
Huang, N. N., & Chiu, L. (2016). Relationship Among Students ’ Problem-Solving Attitude , Perceived Value , Behavioral Attitude , and Intention to Participate in a Science and Technology Contest, 1419–1435. http://doi.org/10.1007/s10763-015-9665-y
Hussein, A., & Zolait, S. (2014). The nature and components of perceived behavioural control as an element of theory of planned behaviour, 33(1), 65–84.
Ifinedo, P. (2009). The Technology Acceptance Model ( TAM ) and the Continuance Intention of Using WebCT : A Case of College Students in Estonia. Information Communication Technologies for Enhanced Education and Learning: Advanced Applications and Developments, 29–44. http://doi.org/10.4018/978-1-60566-150-6.ch003
Kavanagh, S., Luxton-Reilly, A., Wüensche, B., & Plimmer, B. (2017). A Systematic Review of Virtual Reality in Education. Themes in Science and Technology Education, 10(2), 85–119.
Kenny, R. F., Neste-kenny, J. M. C. Van, Park, C. L., Burton, P. A., & Meiers, J. (2009). Mobile Learning in Nursing Practice Education : Applying Koole â€TM s FRAME Model, 23(3), 75–96.
Lee, Y., Hsieh, Y., & Chen, Y. (2013). An investigation of employees ’ use of e-learning systems : applying the technology acceptance model, 32(2), 173–189.
Lynch, R. (2004). International Review of Research in Open and Distance Learning ISSN : 1492-3831 The Relationship Between Self-Regulation and Online Learning in a Blended Learning Context Self-Regulatory Attributes Predictive of Distance Learner Success, 1–14.
Makoe, M. (2012). Teaching digital natives : Identifying competencies for mobile learning facilitators in distance education, 26(1), 91–104.
Orientations, M., Beliefs, E., Students, T., & Learning, E. F. L. (2017). Eurasian Journal of Educational Research, 67, 251–267.
Park, S. Y., Nam, M.-W., & Cha, S.-B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605. http://doi.org/10.1111/j.1467-8535.2011.01229.x
Parson, V., & Bignell, S. (2017). An Investigation into Cooperative Learning in a Virtual World using Problem-Based Learning. Online Learning, 21(2). http://doi.org/10.24059/olj.v21i2.796
Press, I. R. M. (2008). Examining . Consumer Broadband . Adoption ,. Usage ,. and . Impact.
Quinn, B. C. N. (n.d.). LEARNING ABOUT There seems to be little doubt that the introduction of smartphones and handheld devices have ushered in a new age of mobility that will have profound implications on how people interact with the world and with each other . In his book , De.
Razzaq, A., Samiha, Y. T., & Anshari, M. (n.d.). Smartphone Habits and Behaviors in Supporting Students Self-Efficacy, 94–110.
Şahİn, S., & Mcilroy, D. (2014). TECHNOLOGY ACCEPTANCE MEASURE FOR TEACHERS : T-TAM, 10(4), 885–917.
Tang, J. E., Tang, T., & Chiang, C. (2014). Blog learning : effects of users ’ usefulness and efficiency towards continuance intention, 33(1), 36–50.
Technology, A., Tam, M., & Study, A. C. (2010). Investigating Students ’ Behavioral Intention to use, 17(1).
Vilkonis, R., Bakanovienė, T., & Turskienė, S. (2013). Readiness of Adults to Learn Using E-learning , M-learning and T-learning Technologies, 12(2), 181–190.
Waely, S. A., & Aburezeq, I. M. (2013). Using Blogs to Facilitate Interactive and Effective Learning: Perceptions of Pre-service Arabic Teachers. Journal of Language Teaching and Research, 4(5), 975–985. http://doi.org/10.4304/jltr.4.5.975-985
Wang, D., Xu, L., & Chuan, H. (2015). Understanding the continuance use of social network sites : a computer self-efficacy perspective, 34(2), 204–216.
Wang, F. (2018). Computer Distance Virtual Experiment Teaching Application Based on Virtual Reality Technology, 13(4), 83–95.
Wang, M., Shen, R., Novak, D., & Pan, X. (2009). blended classroom, 40(4), 673–696. http://doi.org/10.1111/j.1467-8535.2008.00846.x
Zhang, M., Zhang, Z., Chang, Y., Aziz, E.-S., Esche, S., & Chassapis, C. (2018). Paper—Recent Developments in Game-Based Virtual Reality Educational Laboratories Using the … Recent Developments in Game-Based Virtual Reality Educational Laboratories Using the Microsoft Kinect, 13, 138–159. http://doi.org/10.3991/ijet.v13i01.7773