Does Knowing lead to doing in the case of learning platforms?

References

• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Banyard, P., Underwood, J., Kerlin, L., & Stiller, J. (2011). Virtual learning environments: Personalising learning or managing learners? In M. Thomas (Ed.), Digital education: Opportunities for social collaboration (pp. 123–142). London: Palgrave Macmillan.
   Google Scholar
• Barabási, A. L., Jeong, H., Nédaa, Z., Ravasza, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications, 311, 590–614.
   Web of Science ®Google Scholar
• BESA (2009). School learning platform review. London: British Educational Suppliers Association.
   Google Scholar
• Bryant, S. M., & Hunton, J. E. (2000). The use of technology in the delivery of instruction: Implications for accounting educators and education researchers. Issues in Accounting Education, 15, 129–163.
   Google Scholar
• Christensen, C. M. (1997). The innovator’s dilemma: When new technologies cause great firms to fail. Boston, MA: Harvard Business School Press.
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–339.
   Web of Science ®Google Scholar
• Demetriadis, S., Barbas, A., Molohides, A., Palaigeorgio, G., Psillos, D., Vlaahavas, L., Tsoukalas, I., & Pombortos, A. (2003). Cultures in negotiation: Teachers’ acceptance/resistance attitudes considering the infusion of technology into schools. Computers & Education, 41, 19–37.
   Web of Science ®Google Scholar
• Dwyer, C., Hiltz, R., & Widmeyer, G. (2008). Understanding development and usage of social networking sites: The social software performance model (1-10). Proceedings of the 41st Hawaii International Conference on System Sciences. Waikoloa: IEEE Computer Society.
   Google Scholar
• Ebner, M., Holzinger, A., Scerbakov, N., & Tsang, P. (2011). EduPunks and learning management systems – Conflict or chance? Lecture Notes in Computer Science, 6837, 224–238.
   Google Scholar
• Friedrich, M., Wolpers, M., Shen, R., Ullrich, C., Klamma, R., Renzel, D., Richert, A., & von der Heiden, B. (2011). Early results of experiments with responsive open learning environments. Journal of Universal Computer Science, 17, 451–471.
   Web of Science ®Google Scholar
• Gibson, K. (2008). Technology and teachnological knowledge: A challenge for school curricula. Teachers and Teaching: theory and practice, 14, 3–15.
   Google Scholar
• Goodfellow, R., & Lamy, M. N. (2011). Learning cultures in online education. London: Continuum IPC.
   Google Scholar
• Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19, 213–236.
   Web of Science ®Google Scholar
• Gretzel, U. (2001). Social network analysis: Introduction and resources. Retrieved November 19, 2011, from http://lrs.ed.uiuc.edu/tse-portal/analysis/social-network-analysis/
   Google Scholar
• JISC. (no date). MLEs and VLEs explained. Retrieved May 19, 2011, from http://www.jisc.ac.uk/uploaded_documents/bp1.pdf
   Google Scholar
• Kenny, R. F., & McDaniel, R. (2011). The role teachers’ expectations and value assessments of video games play in their adopting and integrating them into their classrooms. British Journal of Educational Technology, 42, 197–213.
   Web of Science ®Google Scholar
• Kirschenmann, U., Scheffel, M., Friedrich, M., Niemann, K., & Wolpers, M. (2010). Demands of modern PLEs and the Role approach. Lecture Notes in Computer Science, 6383, 167–182.
   Google Scholar
• Kumar, N., Rose, R. C., & D’Silva, J. L. (2008). Teachers” readiness to use technology in the classroom: An empirical study. European Journal of Scientific Research, 21, 603–616.
   Google Scholar
• Lin, C., Lai, S., Chu, P., Ma, J., & Hsu, Y. (2009). Could virtual learning communities of practice outpace tangible learning communities of practice in networked learning environments? International Journal on Digital Learning Technology, 1, 287–306.
   Google Scholar
• Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers & Education, 54, 600–610.
   Web of Science ®Google Scholar
• Liu, Y., & Szabo, Z. (2009). Teachers’ attitudes toward technology integration in schools: A four year-study. Teachers and Teaching: theory and practice, 15, 5–23.
   Web of Science ®Google Scholar
• Passey, D. (2011). Implementing learning platforms into schools: An architecture for wider involvement in learning. Learning, Media and Technology, 36, 367–397.
   Web of Science ®Google Scholar
• Pihlstrom, M., & Brush, G. J. (2008). Comparing the perceived value of information and entertainment mobile services. Psychology and Marketing, 25, 732–755.
   Web of Science ®Google Scholar
• Pombo, L., Smith, M., Abelha, M., Caixinha, H., & Costa, N. (2012). Evaluating an online e-module for Portuguese primary teachers: Trainees’ perceptions. Technology, Pedagogy and Education, 21, 21–36.
   Web of Science ®Google Scholar
• Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
   Google Scholar
• Sclater, N. (2010). eLearning in the cloud. International Journal of Virtual and Personal Learning Environments, 1, 10–19.
   Google Scholar
• Severance, C., Hardin, J., & Whyte, A. (2008). The coming functionality mash-up in personal learning environments. Interactive Learning Environments, 16, 47–62.
   Web of Science ®Google Scholar
• Smith, P., Rudd, P., & Coghlan, M. (2008). Harnessing technology: Schools survey 2008. Coventry: Becta. Retrieved May 19, 2011, from http://www.nfer.ac.uk/nfer/publications/TSV02/TSV02.pdf
   Google Scholar
• Stiller, J., & Hudson, M. (2005). Weak links and scene cliques within the small world of Shakespeare. Journal of Cultural and Evolutionary Psychology, 3, 57–73.
   Google Scholar
• Tay, L. Y., Lim, C. P., Lye, S. Y., Ng, K. J., & Lim, S. K. (2011). Open-source learning management system and Web 2.0 online social software applications as learning platforms for an elementary school in Singapore. Learning, Media and Technology, 36, 349–365.
   Web of Science ®Google Scholar
• Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & Education, 57, 1645–1653.
   Web of Science ®Google Scholar
• Underwood, J., Baguley, T., Banyard, P., Coyne, E., Farrington-Flint, L., & Selwyn, I. (2007). Impact 2007: Personalising learning with technology. Coventry: Becta.
   Google Scholar
• Underwood, J., Baguley, T., Banyard, P., Dillon, G., Farrington-Flint, L., Hayes, M., … Selwyn, I. (2010). Understanding the impact of technology: Learner and school level factors. Coventry: Becta. Retrieved March 12, 2012, from http://www.bee-it.co.uk/Guidance%20Docs/Becta%20Files/Reports%20and%20publications/03%20Understanding%20the%20Impact%20of%20Technology%20Learner%20and%20School%20level%20factors.pdf
   Google Scholar
• Underwood, J., & Okubayashi, T. (2011). How technology shapes orthography. International Journal of Cyber Behavior, Psychology and Learning, 1, 45–57.
   Google Scholar
• van Raaij, E. M., & Schepers, J. J. L. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50, 838–852.
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204.
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
   Web of Science ®Google Scholar
• Voogt, J., & Pelgrum, H. (2005). ICT and curriculum change. Human Technology, 1, 157–175.
   Google Scholar
• Vratulis, V., Clarke, T., Hoban, G., & Erickson, G. (2011). Additive and disruptive pedagogies: The use of slowmation as an example of digital technology implementation. Teachers and Teacher Education, 27, 1179–1188.
   Web of Science ®Google Scholar
• Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.
   Google Scholar
• Wells, P., De Lange, P., & Fieger, P. (2008). Integrating a virtual learning environment into a second-year accounting course: Determinants of overall student perception. Accounting & Finance, 48, 503–518.
   Web of Science ®Google Scholar
• Wilson, S., Liber, O., Johnson, M., Beauvoir, P., Sharples, P., & Milligan, C. (2006). Personal learning environments: Challenging the dominant design of educational systems. Proceedings of the First Joint International Workshop on Professional Learning, Competence Development and Knowledge Management - LOKMOL and L3NCD, Crete.
   Google Scholar
• Xu, Y. (2007). Relevance judgment in epistemic and hedonic information searches. Journal of the American Society for Information Science and Technology, 58, 179–189.
   Web of Science ®Google Scholar
• Youngman, M. B. (1979). Analysing social and educational research data. London: McGraw-Hill.
   Google Scholar
• Zimmermann, V. (2008). Corporate universities. In H. H. Aldersberger, J. M. Kinshuk, J. M. Pawlowski, & D. G. Sampson (Eds.), Handbook on information technologies for education and training (pp. 405–422). Berlin: Springer.
   Google Scholar