Pre-Service Computer Teachers’ Tendencies Towards the Use of Mobile Technologies: A Technology Acceptance Model Perspective

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, 709-713.10.1016/j.sbspro.2015.01.530Search in Google Scholar

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 (Unpublished master’s thesis).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.Search in Google Scholar

3. Attewell, J., Savill-Smith, C., Douch, R., & Parker, G. (2010). Modernising education and training: Mobilising technology for learning. London: Regent Arcade House.Search in Google Scholar

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), 659-686.10.1177/001872679204500702Open DOISearch in Google Scholar

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.2015.11.030Open DOISearch in Google Scholar

6. Behera, S. (2013). M-learning: A new learning paradigm. International Journal on New Trends in Education & Their Implications, 4(2), 24-34.Search in Google Scholar

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.2016.7804099Search in Google Scholar

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.10.1109/VS-GAMES.2011.49Search in Google Scholar

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.xOpen DOISearch in Google Scholar

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), 65-69.10.2224/sbp.2011.39.1.65Search in Google Scholar

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.Search in Google Scholar

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).Search in Google Scholar

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), 982-1003.10.1287/mnsc.35.8.982Search in Google Scholar

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.Search in Google Scholar

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.xOpen DOISearch in Google Scholar

16. Escobar-Rodriguez, T., & Monge-Lozano, P. (2012). The acceptance of Moodle technology by business administration students. Computers & Education, 58(4), 1085-1093.10.1016/j.compedu.2011.11.012Search in Google Scholar

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.10.1145/2371574.2371642Search in Google Scholar

18. Fulantelli, G., Taibi, D., & Arrigo, M. (2015). A framework to support educational decision making in mobile learning. Computers in Human Behavior, 47, 50-59.10.1016/j.chb.2014.05.045Search in Google Scholar

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.10.1145/1050330.1050437Search in Google Scholar

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.Search in Google Scholar

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), 343-367.10.1080/15391523.2011.10782576Search in Google Scholar

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)00050-8Open DOISearch in Google Scholar

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), 29-47.10.1504/IJMLO.2013.051572Search in Google Scholar

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), 143-158.10.1007/s12528-014-9081-2Search in Google Scholar

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-yOpen DOISearch in Google Scholar

26. Keller, C. (2005). Virtual learning environments: Three implementation perspectives. Learning, Media & Technology, 30(3), 299-311.10.1080/17439880500250527Search in Google Scholar

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), 578-588.10.1002/asi.22987Search in Google Scholar

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), 439-456.10.15700/saje.v30n3a284Search in Google Scholar

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.Search in Google Scholar

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), 88.10.1186/1472-6947-13-88Search in Google Scholar

31. Kuşkonmaz, H. (2011). Determining teacher’s perception of mobile learning at secondary schools. (Unpublished master’s thesis). Bahçeşehir University, Turkey.Search in Google Scholar

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), 1095-1104.10.1016/j.im.2003.10.007Search in Google Scholar

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.xOpen DOISearch in Google Scholar

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.Search in Google Scholar

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), 431-449.10.1016/S1071-5819(03)00114-9Search in Google Scholar

36. Murray, O. T., & Olcese, N. R. (2011). Teaching and learning with iPads, ready or not? TechTrends, 55(6), 42-48.10.1007/s11528-011-0540-6Search in Google Scholar

37. Nistor, N. (2014). When technology acceptance models won’t work: Non-significant intention-behavior effects. Computers in Human Behavior, 34, 299-300.10.1016/j.chb.2014.02.052Search in Google Scholar

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.xOpen DOISearch in Google Scholar

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.Search in Google Scholar

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), 175-184.10.28945/3076Search in Google Scholar

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.10.1145/2669711.2669974Search in Google Scholar

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.2015.07.002Open DOISearch in Google Scholar

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), 3-18.10.1080/10494821003714632Open DOISearch in Google Scholar

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.Search in Google Scholar

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.xOpen DOISearch in Google Scholar

46. Valtonen, T. (2011). An insight into collaborative learning with ICT: Teachers’ and students’ perspectives. University of Eastern Finland.Search in Google Scholar

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, 49-58.10.1016/j.compedu.2014.09.008Search in Google Scholar

48. Virvou, M., & Alepis, E. (2005). Mobile educational features in authoring tools for personalised tutoring. Computers & Education, 44, 53-68.10.1016/j.compedu.2003.12.020Search in Google Scholar

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), 570-578.10.1016/j.compedu.2011.04.013Search in Google Scholar

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.xOpen DOISearch in Google Scholar

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.2004.07.001Open DOISearch in Google Scholar

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.2013040103Open DOISearch in Google Scholar

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), 2395-2402.10.3923/jas.2010.2395.2402Search in Google Scholar

54. Yuen, A. H., & Ma, W. W. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229-243.10.1080/13598660802232779Open DOISearch in Google Scholar