References
- 1. Acarli, D. S., & Sağlam, Y. (2015). Investigation of pre-service teachers’ intentions to use of social media in teaching activities within the framework of technology acceptance model. Procedia-Social and Behavioral Sciences, 176, 709-713.
- 2. Aktaş, S. (2007). An application on technology acceptance model and accountants’ use of information technology. (Unpublished master’s thesis). Gebze Institute of Technology, Turkey.
- 3. Attewell, J., Savill-Smith, C., Douch, R., & Parker, G. (2010). Modernising education and training: Mobilising technology for learning. London: Regent Arcade House.
- 4. Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human relations, 45(7), 659-686.10.1177/001872679204500702
- 5. Baydas, O., & Göktaş, Y. (2016). Influential factors on pre-service teachers’ intentions to use ICT in future lessons. Computers in Human Behavior, 56, 170-178.10.1016/j.chb.2015.11.030
- 6. Behera, S. (2013). M-learning: A new learning paradigm. International Journal on New Trends in Education & Their Implications, 4(2), 24-34.
- 7. Cacho, R. M. (2017). Student teachers’ smartphone academic uses and preferences: Perspectives for mobile-aided pedagogy. Proceedings of the International Conference on ICT and Knowledge Engineering, 57-61. doi:10.1109/ICTKE.2016.7804099
- 8. Camilleri, V., & Montebello, M. (2011, May). Virtual World Presence for Pre-service Teachers: Does the TAM Model Apply? Proceedings of the Games and Virtual Worlds for Serious Applications (VS-GAMES), 2011 Third International Conference on, 156-159. IEEE.
- 9. Chen, F. H., Looi, C. K., & Chen, W. (2009). Integrating technology in the classroom: a visual conceptualization of teachers’ knowledge, goals and beliefs. Journal of Computer Assisted Learning, 25(5), 470-488.10.1111/j.1365-2729.2009.00323.x
- 10. Chih-Yung, T., Chih-Chiang, W., & Ming-Te, L. (2011). Using the technology acceptance model to analyze ease of use of a mobile communication system. Social Behavior & Personality: An International Journal, 39(1), 65-69.
- 11. Creswell, J. W. (2005). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (2nd ed.). Upper Saddle River, N.J.: Pearson Merrill Prentice Hall.
- 12. Darren Pullen, J. F., Swabey, K., Abadooz, M., & Sing, T. K. R. (2015). Pre-service teachers’ acceptance and use of mobile learning in Malaysia. Australian Educational Computing, 30(1).
- 13. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
- 14. Dexter, S., Doering, A. H., & Riedel, E. S. (2006). Content area specific technology integration: A model for educating teachers. Journal of Technology and Teacher Education, 14(2), 325.
- 15. Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach. British Journal of Educational Technology, 43(1), 71-84.10.1111/j.1467-8535.2010.01142.x
- 16. Escobar-Rodriguez, T., & Monge-Lozano, P. (2012). The acceptance of Moodle technology by business administration students. Computers & Education, 58(4), 1085-1093.
- 17. Frias-Martinez, V., Virseda, J, & Gomero, A. (2012, September). Mobilizing education: Evaluation of a mobile learning tool in a low-income school. Paper presented at the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services, San Francisco, USA.
- 18. Fulantelli, G., Taibi, D., & Arrigo, M. (2015). A framework to support educational decision making in mobile learning. Computers in Human Behavior, 47, 50-59.
- 19. Georgiev, T., Georgieva, E., & Smrikarov, A. (2004, June). M-learning-a new stage of е-learning. Paper presented at the International Conference on Computer Systems and Technologies, Rousse, Bulgaria.
- 20. Goktas, Y., Yildirim, S., & Yildirim, Z. (2009). Main barriers and possible enablers of ICTs integration into pre-service teacher education programs. Educational Technology & Society, 12(1), 193-204.
- 21. Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343-367.
- 22. Hu, P., Clark, T. H., & Ma, W. W. (2003). Examining technology acceptance by school teachers: A longitudinal study. Information & Management, 41(2), 227-241.10.1016/S0378-7206(03)00050-8
- 23. Jaradat, M. I. R. (2013). Applying the technology acceptance model to the introduction of mobile voting. International Journal of Mobile Learning and Organisation, 7(1), 29-47.
- 24. Joo, Y. J., Lee, H. W., & Ham, Y. (2014). Integrating user interface and personal innovativeness into the TAM for mobile learning in Cyber University. Journal of Computing in Higher Education, 26(2), 143-158.
- 25. Kafyulilo, A. (2014). Access, use and perceptions of teachers and students towards mobile phones as a tool for teaching and learning in Tanzania. Education & Information Technologies, 19(1), 115-127.10.1007/s10639-012-9207-y
- 26. Keller, C. (2005). Virtual learning environments: Three implementation perspectives. Learning, Media & Technology, 30(3), 299-311.
- 27. Kim, D., Chun, H., & Lee, H. (2014). Determining the factors that influence college students’ adoption of smartphones. Journal of the Association for information Science and Technology, 65(3), 578-588.
- 28. Kriek, J., & Stols, G. (2010) Teachers’ beliefs and their intention to use interactive simulations in their classrooms. South African Journal of Education, 30(3), 439-456.
- 29. Koca, M. (2006). Examining teachers? Use of information and communication technology according to variables of unified model of information and communication technology. (Unpublished master’s thesis). Hacettepe University, Turkey.
- 30. Kuo, K. M., Liu, C. F., & Ma, C. C. (2013). An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems. BMC medical informatics and decision making, 13(1), 88.
- 31. Kuşkonmaz, H. (2011). Determining teacher’s perception of mobile learning at secondary schools. (Unpublished master’s thesis). Bahçeşehir University, Turkey.
- 32. Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & management, 42(8), 1095-1104.
- 33. Ma, W. W., Andersson, R. R., & Streith, K. O. (2005). Examining user acceptance of computer technology: An empirical study of student teachers. Journal of Computer Assisted Learning, 21(6), 387-395.10.1111/j.1365-2729.2005.00145.x
- 34. Menzi, N., Önal, N., & Çalışkan, E. (2012). Investigating educational researchers’ views of using mobile technologies for educational purposes based on technology acceptance model. Ege Journal of Education, 13(1), 40-55.
- 35. Mun, Y. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: selfefficacy, enjoyment, learning goal orientation, and the technology acceptance model. International journal of human-computer studies, 59(4), 431-449.
- 36. Murray, O. T., & Olcese, N. R. (2011). Teaching and learning with iPads, ready or not? TechTrends, 55(6), 42-48.
- 37. Nistor, N. (2014). When technology acceptance models won’t work: Non-significant intention-behavior effects. Computers in Human Behavior, 34, 299-300.
- 38. Park, S., Nam, M., & Cha, S. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592-605.10.1111/j.1467-8535.2011.01229.x
- 39. Phuangthong, D., & Malisawan, D. (2005, August). A study of behavioral intention for 3G mobile internet technology: Preliminary research on mobile learning. Paper presented at the 2nd International Conference on eLearning for Knowledge-Based Society, Bangkok, Thailand.
- 40. Saadé, R., Nebebe, F., & Tan, W. (2007). Viability of the “Technology Acceptance Model” in multimedia learning environments: A comparative study. Journal of Knowledge & Learning Objects, 3(1), 175-184.
- 41. Sánchez-Prieto, J. C., Migueláñez, S. O., & García-Peñalvo, F. J. (2014). ICTs integration in education: mobile learning and the technology acceptance model (TAM). Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality, 683-687. ACM.
- 42. Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2016). Informal tools in formal contexts: Development of a model to assess the acceptance of mobile technologies among teachers. Computers in Human Behavior, 55.10.1016/j.chb.2015.07.002
- 43. Teo, T. (2012). Examining the intention to use technology among pre-service teachers: An integration of the technology acceptance model and theory of planned behavior. Interactive Learning Environments, 20(1), 3-18.10.1080/10494821003714632
- 44. Turan, B. (2011). The research of the usage of information and communication technologies via technology acceptance model and an application on elementary school teachers. (Unpublished master’s thesis). Bilecik Şeyh Edebali University, Turkey.
- 45. Uzunboylu, H., & Ozdamli, F. (2011). Teacher perception for m-learning: Scale development and teachers’ perceptions. Journal of Computer Assisted Learning, 27(6), 544-556.10.1111/j.1365-2729.2011.00415.x
- 46. Valtonen, T. (2011). An insight into collaborative learning with ICT: Teachers’ and students’ perspectives. University of Eastern Finland.
- 47. Valtonen, T., Kukkonen, J., Kontkanen, S., Sormunen, K., Dillon, P., & Sointu, E. (2015). The impact of authentic learning experiences with ICT on pre-service teachers’ intentions to use ICT for teaching and learning. Computers & Education, 81, 49-58.
- 48. Virvou, M., & Alepis, E. (2005). Mobile educational features in authoring tools for personalised tutoring. Computers & Education, 44, 53-68.
- 49. Wang, R., Wiesemes, R., & Gibbons, C. (2012). Developing digital fluency through ubiquitous mobile devices: Findings from a small-scale study. Computers & Education, 58(1), 570-578.
- 50. Wang, Y., Wu, M., & Wang, H. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118.10.1111/j.1467-8535.2007.00809.x
- 51. Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.10.1016/j.im.2004.07.001
- 52. Yamakawa, P., Delgado, C., Díaz, E., Garayar, E., & Laguna, H. (2013). Factors influencing the use of mobile technologies in a university environment: A case from Latin America. International Journal of Information and Communication Technology Education (IJICTE), 9(2), 24-38.10.4018/jicte.2013040103
- 53. Yong-Wee, S., Siong-Hoe, L., Kung-Keat, T., Check-Yee, L., &Parumo, S. (2010). Prediction of user acceptance and adoption of smart phone for learning with technology acceptance model. Journal of Applied Sciences, 10(20), 2395-2402.
- 54. Yuen, A. H., & Ma, W. W. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229-243.10.1080/13598660802232779