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Researching Information Technology in Education: Meeting the Challenges of an Ever-Changing Environment

  • Margaret J. CoxEmail author
Reference work entry
Part of the Springer International Handbooks of Education book series (SIHE)

Abstract

This chapter considers the challenges which need to be addressed by those researching IT in education. Evidence from the first Edition of the handbook and many meta and individual studies published since 2008 reveal changing methodological approaches to address the increasing diversity of IT in continuously changing educational contexts. These include research methods to take account of the new knowledge and knowledge representations which are accessible through dynamic, mobile, and diverse computing technologies. The discourse uses Entwistle’s evaluation framework to help researchers identify the range of factors which have an impact on the quality of learning consequent to the use of educational innovations in formal and informal settings. Evidence from this review shows a shift from research involving using IT resources in formal classroom settings to research across contexts between school and home, computer-based learning devices to learning with personalized mobile devices. Based on the roles and interactions among researchers, policy makers, and practitioners, the chapter concludes with considering the scalability and sustainability of research methods and outcomes through recommending strategies which will consolidate research outcomes and underpin future policy and research decisions.

Keywords

Researching IT Educational evaluation Informal learning Knowledge representations Research methods Research informed policy 

References

  1. Badri, M., Yang, G., Al Mazroui, K., Mohaidat, J., Al Rashedi, A., & Al Housani, N. (2017). Out-of-school experience categories influencing interest in biology of secondary school students by gender: Exploration on an Abu Dhabi sample. Journal of Biological Education, 51(2), 166–185.CrossRefGoogle Scholar
  2. Brinda, T., Mavengere, N., Haukijärvi, I., Lewin, C., & Passey, D. (Eds.). (2016). Stakeholders and Information Technology in Education: IFIP TC 3 International Conference, SaITE. Guimarães, Portugal, July 5–8, 2016, Revised selected papers (Vol. 493). Heidelberg: Springer/IFIP Advances in Information and Communication Technology 183 p.Google Scholar
  3. Christensen, R., & Knezek, G. (2008). Self-report measures and findings for information technology attitudes and competencies. In: J. Voogt, & G. Knezek. (Eds.) International Handbook of Information Technology in Primary and Secondary Education (pp. 349–366). Berlin, Heidelberg/New York: Springer.Google Scholar
  4. Cox, M. J. (Ed.) (2008). Section 10 – Methods for researching IT in education. In: J. Voogt, & G. Knezek. (Eds.) International handbook of information technology in primary and secondary education (pp. 947–964). Berlin/Heidelberg/New York: Springer.Google Scholar
  5. Cox, M. J. (2013a). What the research has to say: The impact of technology on teaching and learning. In Pachler, N., & Leask, M. (Eds.) Learning to teach using ICT in the secondary school: A companion to school experience (Learning to teach subjects in the secondary school series) (pp. 18–39) London: Routledge.Google Scholar
  6. Cox, M. J. (2013b). Formal to informal learning with IT: Research challenges and issues for e-learning. Journal of Computer Assisted Learning, 29(1), 85–105.CrossRefGoogle Scholar
  7. Cox, M. J., & Marshall, G. (2007). Effects of ICT: Do we know what we should know? Education and Information Technologies, 12, 59–70.CrossRefGoogle Scholar
  8. Cox, M. J., & Niederhauser, D. S. (2013). TWG7: Observatories for researching the impact of IT in education. Edusummit. 2013. Retrieved from http://www2.curtin.edu.au/edusummit/about/archive.cfmGoogle Scholar
  9. Cox, M. J., Niederhauser, D. S., Sakamoto, T., McDougall, A. N., Castillo, N., & Røsvik, S. (2013). Researching IT in education. Journal of Computer Assisted Learning, 29(5), 474–486.CrossRefGoogle Scholar
  10. Desforges, C. (1995). How does experience affect theoretical knowledge for teaching. Learning and Instruction, 5, 385–400.CrossRefGoogle Scholar
  11. Entwistle, N. J. (1987). A model of the teaching-learning process. In J. T. E. Richardson, M. W. Eysenck, & D. Warren-Piper (Eds.), Student learning: Research in education & cognitive psychology. Milton Keynes: Open University Press & SRHE.Google Scholar
  12. Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Gebhardt, E. (2014). Preparing for life in a digital age. The IEA international computer and literacy information study international report. Heidelberg: Springer Cham.Google Scholar
  13. Gardner, D. G., Dukes, R. L. Discenza, R. (1993). Computer use, self-confidence, and attitudes: a causal analysis. Computers in Human Behaviour. 9, 427–440.Google Scholar
  14. Hallam, S. (2004). Homework: the evidence. Bedford Way Papers. London: The Institute of Education. University of London.Google Scholar
  15. Haßler, B., Major, L., & Hennessy, S. (2016). Tablet use in schools: A critical review of the evidence for learning outcomes. Journal of Computer Assisted Learning, 32(2), 139–156.CrossRefGoogle Scholar
  16. Herodotou, C. (2018). Young children and tablets: A systematic review of effects on learning and development. Journal of Computer Assisted Learning, 34, 1–9.CrossRefGoogle Scholar
  17. Hindmarsh, J., Hyland, L., & Banerjee, A. (2014). Work to make simulation work: 'Realism', instructional correction and the body in training. Discourse Studies, 16(2), 247–269.CrossRefGoogle Scholar
  18. Huber, B., Tarasuik, J., Antoniou, M. N., Garrett, C., Bowe, S. J., Kaufman, J., & Team, B. (2016). Young children's transfer of learning from a touchscreen device. Computers in Human Behaviour, 56, 56–64.CrossRefGoogle Scholar
  19. Iten, N., & Petko, D. (2016). Learning with serious games: Is fun playing the game a predictor of learning success? BJET, 47(1), 151–163.CrossRefGoogle Scholar
  20. Journal of Computer Assisted Learning (2017) 33(6).Google Scholar
  21. Khenissi, M. A., Essalmi, F., Jemni, M., Kinshuk, K., Graf, S., & Nian-Shing, C. (2016). Relationship between learning styles and genres of games. Computers & Education, 101, 1–14.CrossRefGoogle Scholar
  22. Kozma, R. B. (Ed.). (2003). Technology, innovation and educational change: A global perspective. Eugene: ISTE.Google Scholar
  23. Lai, K.-W., Khaddage, F., & Knezek, G. (2013). Blending student technology experiences in formal and informal learning. Journal of Computer Assisted Learning, 29, 414–425.CrossRefGoogle Scholar
  24. Lai, K-W., Voogt, J., & Knezek, G. (2017). Rethinking learning in a digital age: Edusummit 2017 summary reports. Retrieved from http://unesco.unibit.bg/en/EDUsummIT17Google Scholar
  25. Law, N. (2008). Pedagogical innovations and teacher learning. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 421–516). Berlin/Heidelberg/New York: Springer.Google Scholar
  26. Law, N., Pelgrum, W. J., & Plomp, T. (2008). Pedagogy and ICT use in schools around the World. Findings from the IEA SITES 2006 Study. CERC Studies in comparative education. Comparative Education Research Centre, The University of Hong Kong, Hong Kong and Springer.Google Scholar
  27. Looi, C.-K., Seow, P., Zhang, B., So, H.-J., Chen, W., & Wong, L.-H. (2014a). Leveraging mobile technology for sustainable seamless learning: A research agenda. British Journal of Educational Technology, 41(2), 154–169.CrossRefGoogle Scholar
  28. Looi, C.-K., Sun, D., Wu, L., Seow, P., Chia, G., Wong, L.-H., Soloway, E., & Norris, C. (2014b). Implementing mobile learning curricula in a grade level: Empirical study of learning effectiveness at scale. Computers & Education, 77, 101–115.CrossRefGoogle Scholar
  29. Marshall, G., & Cox, M. J. (2008). Chapter 2: Research methods; their design, applicability and reliability. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 983–1002). Berlin/Heidelberg/New York: Springer.CrossRefGoogle Scholar
  30. Mehdipour, Y., & Zerehkafi, H. (2013). Mobile learning for education: Benefits and challenges. International Journal of Computational Engineering Research, 3(6), 93–101.Google Scholar
  31. Pachler, N., & Redondo, A. (2005). Linking school with home use. In M. Leask & N. Pachler (Eds.), Learning to teach using ICT in the secondary school: A companion to school. London: Routledge.Google Scholar
  32. Passey, D. (2015). Inclusive technologies and learning: Research, practice and policy. Social Inclusion, 3(6), 1–66.CrossRefGoogle Scholar
  33. Perkins, D. N., Schwartz, J. L., West, M. M., & Wiske, M. S. (1995). Software goes to school: Teaching for understanding with new technologies. New York/Oxford: Oxford University Press.Google Scholar
  34. Piotrowski, J. T., & Krcmar, M. (2017). Reading with hotspots: Young children’s responses to touch screen stories. Computers in Human Behavior, 70(2017), 328–334.CrossRefGoogle Scholar
  35. Plomp, T., Andersen, R., Law, N., & Quale, A. (2009). Cross-national information and communication technology: Policies and practices in education (2nd ed.). Charlotte: Information Age Publishing.Google Scholar
  36. Quinn, B. F., Cox, M.J., Shariari-Rad, A., Woolford, M., San Diego, J.P., Millar, B., Fordham, C., Wynne, L., Butchers, C., Homles, S. Hatzipanagos, S. & Layland, P. (2015). Developing and evaluating a virtual haptic simulator to teach injection procedures in dental education and other clinical skills programmes. Journal of Dental Research, 94(3), B. March 2015.Google Scholar
  37. Reeves, T. C. (2008). Section 10.5. Evaluation of the design and development of it tools in education. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 1037–1052). Berlin/Heidelberg/New York: Springer.CrossRefGoogle Scholar
  38. Romero-Hall, E., Watson, G. S., Adcock, A., Bliss, J., & Tufts, A. (2016). Simulated environments with animated agents: Effects on visual attention, emotion, performance and perception. Journal of Computer Assisted Learning, 32(4), 360–373.CrossRefGoogle Scholar
  39. Sakamoto, T. (2002). Educational reform based on e-learning of an international web-based learning community. Journal of Studies in International Education, 16(2), 15–17.Google Scholar
  40. San Diego, J., Cox, M. J., Quinn, B. F. A., Newton, J. T., Banerjee, A., & Woolford, M. (2012). Researching haptics in higher education: The complexity of developing haptics virtual learning systems and evaluating its impact on students’ learning. Computers & Education, 59, 156–166.CrossRefGoogle Scholar
  41. Sefton-Green, J. (2004). Report 7: A review of informal learning with technology outside school. London: Futurelab Series.Google Scholar
  42. Voogt, J. (2008). IT and curriculum processes: Dilemmas and challenges. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 115–212). Berlin/Heidelberg/New York: Springer.CrossRefGoogle Scholar
  43. Voogt, J., & Knezek, G. (Eds.). (2008). International handbook of information technology in primary and secondary education. Berlin: Springer.Google Scholar
  44. Wang, Y.-H. (2017). The effectiveness of integrating teaching strategies into IRS activities to facilitate learning. Journal of Computer Assisted Learning, 33, 35–50.CrossRefGoogle Scholar
  45. Webb, M., & Cox, M. J. (2004). A review of pedagogy related to ICT. Technology, Pedagogy and Education, 13(3), 235–228.CrossRefGoogle Scholar
  46. Webb, M., Tracey, M., Harwin, W., Tokatli, O., Hwang, F., Johnson, R., Barrett, N., & Jones, C. (2017). The potential for haptic-enabled interaction to support collaborative learning in school biology. In P. Resta & S. Smith (Eds.), Proceedings of society for information technology & teacher education international conference 2017 (pp. 927–935). Chesapeake: Association for the Advancement of Computing in Education (AACE).Google Scholar
  47. Woolnough, B. (1994). Why students choose physics, or reject it. Physics Education, 29, 368–374.CrossRefGoogle Scholar
  48. Wu, W.-H., Wu, Y.-C. J., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59, 817–827.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.King’s College LondonLondonUK

Section editors and affiliations

  • Margaret Cox
    • 1
  • Joke Voogt
    • 2
  1. 1.King's College LondonLondonUK
  2. 2.Department of Child Development and EducationUniversity of Amsterdam/ Windesheim University of Applied SciencesAmsterdamThe Netherlands

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