2,281
Views
73
CrossRef citations to date
0
Altmetric
Articles

Investigating pre-service teachers’ acceptance of Web 2.0 technologies in their future teaching: a Chinese perspective

, , ORCID Icon &
Pages 530-546 | Received 27 May 2017, Accepted 12 Jun 2018, Published online: 27 Jun 2018

References

  • Abdullah, F., & Ward, R. (2016). Developing a general extended technology acceptance model for E-learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238–256. doi: 10.1016/j.chb.2015.11.036
  • Aibar, E., Lladós-Masllorens, J., Meseguer-Artola, A., Minguillón, J., & Lerga, M. (2015). Wikipedia at university: What faculty think and do about it. The Electronic Library, 33(4), 668–683. doi: 10.1108/EL-12-2013-0217
  • Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The Internet and Higher Education, 11(2), 71–80. doi: 10.1016/j.iheduc.2008.05.002
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi: 10.1016/0749-5978(91)90020-T
  • Anderson, P. (2007). What is Web 2.0? Ideas, technologies and implications for education. Bristol, England: JISC Technology and Standards Watch.
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi: 10.1037/0033-2909.103.3.411
  • Archambault, L. M., & Barnett, J. H. (2010). Revisiting technological pedagogical content knowledge: Exploring the TPACK framework. Computers & Education, 55(4), 1656–1662. doi: 10.1016/j.compedu.2010.07.009
  • Ariff, M. S., Yeow, S. M., Zakuan, N., Jusoh, A., & Bahari, A. Z. (2012). The effects of computer self-efficacy and technology acceptance model on behavioral intention in internet banking systems. Procedia - Social and Behavioral Sciences, 57, 448–452. doi: 10.1016/j.sbspro.2012.09.1210
  • Armenteros, M., Liaw, S.-S., Fernández, M., Díaz, R. F., & Sánchez, R. A. (2013). Surveying FIFA instructors’ behavioral intention toward the multimedia teaching materials. Computers & Education, 61, 91–104. doi: 10.1016/j.compedu.2012.09.010
  • Bai, Y., Mo, D., Zhang, L., Boswell, M., & Rozelle, S. (2016). The impact of integrating ICT with teaching: Evidence from a randomized controlled trial in rural schools in China. Computers & Education, 96, 1–14. doi: 10.1016/j.compedu.2016.02.005
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. doi: 10.1037/0033-295X.84.2.191
  • Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (pp. 71–81). New York, NY: Academic Press.
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.
  • Chai, C. S., Koh, J. H., & Tsai, C.-C. (2010). Facilitating preservice teachers’ development of technological, pedagogical, and content knowledge. Educational Technology & Society, 13(4), 63–73.
  • Chai, C. S., Koh, J. H., & Tsai, C.-C. (2013). A review of technological pedagogical content knowledge. Educational Technology & Society, 16(2), 31–51.
  • Chai, C. S., Koh, J. H., Tsai, C.-C., & Tan, L. L. (2011). Modeling primary school pre-service teachers’ technological pedagogical content knowledge (TPACK) for meaningful learning with information and communication technology (ICT). Computers & Education, 57(1), 1184–1193. doi: 10.1016/j.compedu.2011.01.007
  • Chin, W. W. (2010). How to write up and report PLS analyses. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares (pp. 655–690). Berlin, Germany: Springer.
  • China Internet Network Information Centre (CNNIC). (2016). The 37th statistical report on China Internet development. Retrieved from http://cnnic.com.cn/IDR/ReportDownloads/201604/P020160419390562421055.pdf
  • Compeau, D. R., & Higgins, C. A. (1995). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(2), 118–143. doi: 10.1287/isre.6.2.118
  • Cox, S., & Graham, C. R. (2009). Diagramming TPACK in practice: Using an elaborated model of the TPACK framework to analyze and depict teacher knowledge. TechTrends, 53(5), 60–69. doi: 10.1007/s11528-009-0327-1
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quarterly, 13(3), 319–340. doi: 10.2307/249008
  • Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(1), 475–487. doi: 10.1006/imms.1993.1022
  • 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. doi: 10.1287/mnsc.35.8.982
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. doi: 10.1111/j.1559-1816.1992.tb00945.x
  • Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human-Computer Studies, 45(1), 19–45. doi: 10.1006/ijhc.1996.0040
  • Dong, J. (2016). The sociolinguistics of voice in globalising China. London, England: Routledge.
  • Dong, Y., Chai, C. S., Sang, G., Koh, J. H., & Tsai, C.-C. (2015). Exploring the profiles and interplays of pre-service and in-service teachers’ technological pedagogical content knowledge (TPACK) in China. Journal of Educational Technology & Society, 18(1), 158–169.
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior. Reading, MA: Addison-Wesley.
  • Fiske, A. P., Kitiyama, S., Markus, H. R., & Nisbett, R. E. (1998). The cultural matrix of social psychology. In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4th ed., pp. 915–981). New York, NY: Oxford University Press.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi: 10.1177/002224378101800104
  • Gialamas, V., & Nikolopoulou, K. (2010). In-service and pre-service early childhood teachers’ views and intentions about ICT use in early childhood settings: A comparative study. Computers & Education, 55(1), 333–341. doi: 10.1016/j.compedu.2010.01.019
  • Giannakos, M., Doukakis, S., Pappas, I., Adamopoulos, N., & Giannopoulou, P. (2015). Investigating teachers’ confidence on technological pedagogical and content knowledge: An initial validation of TPACK scales in K-12 computing education context. Journal of Computers in Education, 2(1), 43–59. doi: 10.1007/s40692-014-0024-8
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
  • Harris, J., Mishra, P., & Koehler, M. (2009). Teachers’ technological pedagogical content knowledge and learning activity types: Curriculum-based technology integration reframed. Journal of Research on Technology in Education, 41(4), 393–416. doi: 10.1080/15391523.2009.10782536
  • Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computers in Human Behavior, 39, 254–262. doi: 10.1016/j.chb.2014.07.020
  • Hu, L.-t., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. doi: 10.1037/1082-989X.3.4.424
  • IBM. (2012). Amos (Version 21.0) [Computer Program]. Chicago: IBM SPSS.
  • King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755. doi: 10.1016/j.im.2006.05.003
  • Kiraz, E., & Ozdemir, D. (2006). The relationship between educational ideologies and technology acceptance in pre-service teachers. Educational Technology & Society, 9(2), 152–165.
  • Kline, R. B. (2011). Principles and practice of structural equation modelling (3rd ed.). New York, NY: Guilford Press.
  • Koh, J. H., Chai, C. S., & Tsai, C.-C. (2013). Examining practicing teachers’ perceptions of technological pedagogical content knowledge (TPACK) pathways: A structural equation modeling approach. Instructional Science, 41(4), 793–809. doi: 10.1007/s11251-012-9249-y
  • Koh, J. H., & Sing, C. C. (2011). Modeling pre-service teachers’ technological pedagogical content knowledge (TPACK) perceptions: The influence of demographic factors and TPACK constructs. In G. Williams, P. Statham, N. Brown, & B. Cleland (Eds.), Changing demands, changing directions: Proceedings Ascilite Hobart 2011 (pp. 735–746). Hobart, Australia: ASCILITE.
  • Lai, C. (2015). Modeling teachers’ influence on learners’ self-directed use of technology for language learning outside the classroom. Computers & Education, 82, 74–83. doi: 10.1016/j.compedu.2014.11.005
  • Law, N., Pelgrum, W. J., & Plomp, T. ( Eds.). (2008). Pedagogy and ICT use in schools around the world: Findings from the IEA SITES 2006 study. Hong Kong: Springer.
  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. doi: 10.1016/S0378-7206(01)00143-4
  • Liaw, S.-S., & Huang, H.-M. (2003). An investigation of user attitudes toward search engines as an information retrieval tool. Computers in Human Behavior, 19(6), 751–765. doi: 10.1016/S0747-5632(03)00009-8
  • López-Bonilla, L. M., & López-Bonilla, J. M. (2011). The role of attitudes in the TAM: A theoretically unnecessary construct? British Journal of Educational Technology, 42(6), E160–E162. doi: 10.1111/j.1467-8535.2011.01232.x
  • Luan, W. S., & Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the Technology Acceptance Model (TAM). The Asia-Pacific Education Researcher, 18(2), 261–272. doi: 10.3860/taper.v18i2.1327
  • Ma, W. W.-k., Andersson, 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. doi: 10.1111/j.1365-2729.2005.00145.x
  • Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59–72. doi: 10.4018/joeuc.2004010104
  • Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. doi: 10.1007/s10209-014-0348-1
  • Mei, B., Brown, G. T. L., & Teo, T. (2018). Toward an understanding of preservice English as a Foreign Language teachers’ acceptance of computer-assisted language learning 2.0 in the People’s Republic of China. Journal of Educational Computing Research, 56(1), 74–104. doi:10.1177/0735633117700144
  • Mishra, P., & Koehler, M. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. doi: 10.1111/j.1467-9620.2006.00684.x
  • Montero Perez, M., Peters, E., & Desmet, P. (2014). Is less more? Effectiveness and perceived usefulness of keyword and full captioned video for L2 listening comprehension. ReCALL, 26(1), 21–43. doi: 10.1017/S0958344013000256
  • Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217–230. doi: 10.1016/S0378-7206(00)00061-6
  • Nelson, J., Christopher, A., & Mims, C. (2009). TPACK and Web 2.0: Transformation of teaching and learning. TechTrends, 53(5), 80–87. doi: 10.1007/s11528-009-0329-z
  • Ngai, E. W., Poon, J. K., & Chan, Y. H. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250–267. doi: 10.1016/j.compedu.2004.11.007
  • Nistor, N., & Heymann, J. O. (2010). Reconsidering the role of attitude in the TAM. British Journal of Educational Technology, 41(6), E142–E145. doi: 10.1111/j.1467-8535.2010.01109.x
  • Phuong-Mai, N., Terlouw, C., & Pilot, A. (2005). Cooperative learning vs confucian heritage culture’s collectivism: Confrontation to reveal some cultural conflicts and mismatch. Asia Europe Journal, 3(3), 403–419. doi: 10.1007/s10308-005-0008-4
  • Research Team of National Teacher Education Institution Surveys. (2014). Zhongguo gaodeng shifan yuanxiao shifansheng peiyang zhuangkang diaocha yu zhengce fenxi baogao [A national investigation report and policy analysis on the cultivation of pre-service teachers in China]. Retrieved from http://www.nies.net.cn/jyyj/jyyj_tbtj/201412/t20141211_317512.html
  • Sadaf, A., Newby, T. J., & Ertmer, P. A. (2016). An investigation of the factors that influence preservice teachers’ intentions and integration of Web 2.0 tools. Educational Technology Research and Development, 64(1), 37–64. doi: 10.1007/s11423-015-9410-9
  • Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information & Management, 45(6), 376–386. doi: 10.1016/j.im.2008.06.002
  • Sang, G., Tondeur, J., Chai, C. S., & Dong, Y. (2016). Validation and profile of Chinese pre-service teachers’ technological pedagogical content knowledge scale. Asia-Pacific Journal of Teacher Education, 44(1), 49–65. doi: 10.1080/1359866X.2014.960800
  • Sang, G., Valcke, M., van Braak, J., & Tondeur, J. (2010). Student teachers’ thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology. Computers & Education, 54(1), 103–112. doi: 10.1016/j.compedu.2009.07.010
  • Sang, G., Valcke, M., van Braak, J., Tondeur, J., & Zhu, C. (2011). Predicting ICT integration into classroom teaching in Chinese primary schools: Exploring the complex interplay of teacher-related variables. Journal of Computer Assisted Learning, 27(2), 160–172. doi: 10.1111/j.1365-2729.2010.00383.x
  • Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90–103. doi: 10.1016/j.im.2006.10.007
  • Schmidt, D. A., Baran, E., Thompson, A. D., Mishra, P., Koehler, M. J., & Shin, T. S. (2009). Technological pedagogical content knowledge (TPACK). Journal of Research on Technology in Education, 42(2), 123–149. doi: 10.1080/15391523.2009.10782544
  • Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14. doi: 10.3102/0013189X015002004
  • State Council. (2010). Guojia zhongchangqi jiaoyu gaige he fazhan guihua gangyao (2010–2020) [National outline for medium and long term educational reform and development (2010–2020)]. Retrieved from http://www.gov.cn/jrzg/2010-07/29/content_1667143.htm
  • Suh, E., Diener, E., Oishi, S., & Triandis, H. C. (1998). The shifting basis of life satisfaction judgments across cultures: Emotions versus norms. Journal of Personality and Social Psychology, 74(2), 482–493. doi: 10.1037/0022-3514.74.2.482
  • Šumak, B., Heričko, M., Pušnik, M., & Polančič, G. (2011). Factors affecting acceptance and use of Moodle: An empirical study based on TAM. Informatica, 35(1), 91–101.
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. doi: 10.1287/isre.6.2.144
  • Teo, T. (2009a). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302–312. doi: 10.1016/j.compedu.2008.08.006
  • Teo, T. (2009b). Is there an attitude problem? Reconsidering the role of attitude in the TAM. British Journal of Educational Technology, 40(6), 1139–1141. doi: 10.1111/j.1467-8535.2008.00913.x
  • Teo, T. (2011). Technology acceptance research in education. In T. Teo (Ed.), Technology acceptance in education: Research and issues (pp. 1–5). Rotterdam: Sense.
  • Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128–143. doi: 10.1111/j.1365-2729.2007.00247.x
  • Teo, T., Milutinović, V., & Zhou, M. (2016). Modelling Serbian pre-service teachers’ attitudes towards computer use: A SEM and MIMIC approach. Computers & Education, 94, 77–88. doi: 10.1016/j.compedu.2015.10.022
  • Teo, T., & van Schaik, P. (2009). Understanding technology acceptance in pre-service teachers: A structural-equation modeling approach. Asia-Pacific Education Researcher, 18(1), 47–66.
  • Teo, T., & Zhou, M. (2017). The influence of teachers’ conceptions of teaching and learning on their technology acceptance. Interactive Learning Environments, 25(4), 513–527. doi: 10.1080/10494820.2016.1143844
  • Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. Mis Quarterly, 15(1), 125–143. doi: 10.2307/249443
  • UNESCO. (2011). Transforming education: The power of ICT policies. Paris, France: Author.
  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. doi: 10.1287/isre.11.4.342.11872
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi: 10.1287/mnsc.46.2.186.11926
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Mis Quarterly, 27(3), 425–478. doi: 10.2307/30036540
  • Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431–449. doi: 10.1016/S1071-5819(03)00114-9
  • Yuen, A. H. K., & Ma, W. W. K. (2002). Gender differences in teacher computer acceptance. Journal of Technology and Teacher Education, 10(3), 365–382.
  • Zacharis, N. Z. (2012). Predicting college students’ acceptance of podcasting as a learning tool. Interactive Technology and Smart Education, 9(3), 171–183. doi: 10.1108/17415651211258281

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.