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Ready for digital learning? A mixed-methods exploration of surveyed technology competencies and authentic performance activity

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Abstract

The Digital Competency Profiler (DCP) is an online application for surveying the technology preferences and abilities of students in higher education. To explore the DCP as a digital-learning-readiness tool, a mixed-methods research design was developed for relating self-reported digital competencies and online-learning activity. To this end, three authentic scenarios, comprised of six tasks mapped to self-report items, were constructed. Having submitted their survey data, each of 15 participants visited the EILAB to complete a randomly-assigned scenario with a tablet. Both the performance activity and post-activity interviews were recorded digitally using a unique activity-station setup, and task artefacts were gathered as performance outcomes. Analysis was conducted in three phases. In Phase 1, both the audio-video performance data and activity artefacts were coded, assessed and scored. Exploratory correlational analyses showed a pattern of positive relationships at the task and scenario levels for two scenario groups, suggesting some predictive value for the DCP in this context. For the third group, a positive correlation was found at the scenario level, but negative correlations were found at the task level. In Phase 2, detailed case-studies were conducted, incorporating self-report data, coded performance timelines, and post-activity interviews. Several situational influencers related to problem-solving strategy, device comfort, task difficulty and motivation, beyond the purview of the DCP, were identified. In Phase 3, the findings were interpreted to position the DCP as a tool for identifying segments of students with members who, without support, will likely struggle to engage fully in technology-rich learning environments.

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Notes

  1. Time markers in this section are provided in minutes and seconds from the beginning of the synchronized audio-video recordings.

References

  • Ala-Mutka, K. (2011). Mapping digital competence: Towards a conceptual understanding. In Seville: Institute for Prospective Technological Studies (IPTS). European Commission: Joint Research Centre Retrieved from http://ftp.jrc.es/EURdoc/JRC67075_TN.pdf.

    Google Scholar 

  • Al-Araibi, A. A. M., Mahrin, M., & Mohd, R. C. (2016). A systematic literature review of technological factors for e-learning readiness in higher education. Journal of Theoretical and Applied Information Technology, 93(2), 500–521.

    Google Scholar 

  • Aparicio, M., Bacao, F., & Oliveira, T. (2016). An e-learning theoretical framework. Journal of Educational Technology & Society, 19(1), 292–307. http://www.jstor.org/stable/10.2307/jeductechsoci.19.1.292

  • Asselin, M., & Moayeri, M. (2010). New tools for new literacies research: An exploration of usability testing software. International Journal of Research & Method in Education, 33(1), 41–53. https://doi.org/10.1080/17437271003597923.

    Article  Google Scholar 

  • Aydın, C. H., & Tasci, D. (2005). Measuring readiness for e-learning: Reflections from an emerging country. Educational Technology and Society, 8(4), 244–257. http://www.jstor.org/stable/jeductechsoci.8.4.244

  • Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148. https://doi.org/10.1207/s15326985ep2802_3.

    Article  Google Scholar 

  • Beetham, H., & Sharpe, R. (2007). Rethinking pedagogy for a digital age: Designing for 21st century learning. New York: Routledge.

    Google Scholar 

  • Bertaux, D. (1981). From the life-history approach to the transformation of sociological practice. In D. Bertaux (Ed.), Biography and society: The life history approach in Social Sciences (pp. 29–45). London: Sage.

  • Bhatt, I., & de Roock, R. (2014). Capturing the sociomateriality of digital literacy events. Research in learning technology, 21, 21281. https://doi.org/10.3402/rlt.v21.21281.

    Article  Google Scholar 

  • Blayone, T., Mykhailenko, O., vanOostveen, R., Grebeshkov, O., Hrebeshkova, O., & Vostryakov, O. (2017a). Surveying digital competencies of university students and professors in Ukraine for fully online collaborative learning. Technology, Pedagogy and Education. https://doi.org/10.1080/1475939X.2017.1391871.

  • Blayone, T., vanOostveen, R., Barber, W., DiGiuseppe, M., & Childs, E. (2017b). Democratizing digital learning: Theorizing the fully online learning community model. International Journal of Educational Technology in Higher Education, 14(1), 13. https://doi.org/10.1186/s41239-017-0051-4.

    Article  Google Scholar 

  • Bradlow, E. T., Hoch, S. J., & Hutchinson, J. W. (2002). An assessment of basic computer proficiency among active internet users: Test construction, calibration, antecedents and consequences. Journal of Educational and Behavioral Statistics, 27(3), 237–253. https://doi.org/10.3102/10769986027003237.

    Article  Google Scholar 

  • Bui, T. X., Sankaran, S., & Sebastian, I. M. (2003). A framework for measuring national e-readiness. International Journal of Electronic Business, 1(1), 3–22. https://doi.org/10.1504/ijeb.2003.002162.

    Article  Google Scholar 

  • Crompton, H., Burke, D., Gregory, K. H., & Gräbe, C. (2016). The use of mobile learning in science: A systematic review. Journal of Science Education and Technology, 1–12. https://doi.org/10.1007/s10956-015-9597-x.

  • Deci, E. L., & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/s15327965pli1104_01.

    Article  Google Scholar 

  • Demir, Ö., & Yurdugül, H. (2015). The exploration of models regarding e-learning readiness: Reference model suggestions. International Journal of Progressive Education, 11(1), 173–194.

    Google Scholar 

  • Desjardins, F. J. (2005). Information and communication technology in education: A competency profile of francophone secondary school teachers in Ontario. Canadian Journal of Learning and Technology/La revue canadienne de l’apprentissage et de la technologie, 31(1), 1–14. https://doi.org/10.21432/T2PG69.

    MathSciNet  Google Scholar 

  • Desjardins, F. J., & Peters, M. (2007). Single-course approach versus a program approach to develop technological competencies in pre-service language teaching. In M.-A. Kassen, L. Lavine, K. Murphy-Judy, & M. Peters (Eds.), Preparing and developing technology proficient L2 teachers (pp. 3–21). Texas: Texas State University.

    Google Scholar 

  • Desjardins, F. J., & vanOostveen, R. (2015). Faculty and student use of digital technology in a "laptop" university. In S. Carliner, C. Fulford, & N. Ostashewski (Eds.), EdMedia: World Conference on Educational Media and Technology 2015 (pp. 990-996). Montreal: Association for the Advancement of Computing in Education (AACE).

  • Desjardins, F. J., Lacasse, R., & Belair, L. M. (2001). Toward a definition of four orders of competency for the use of information and communication technology (ICT) in education. Paper presented at the computers and advanced Technology in Education. Canada: Banff http://eilab.ca/wp-content/uploads/2013/04/2001CATE.pdf.

    Google Scholar 

  • Desjardins, F. J., vanOostveen, R., Bullock, S., DiGiuseppe, M., & Robertson, L. (2010). Exploring graduate student’s use of computer-based technologies for online learning. In J. Herrington & C. Montgomerie (Eds.), EdMedia: World Conference on Educational Media and Technology 2010 (pp. 440-444). Norfolk: Association for the Advancement of Computing in Education (AACE).

  • DiGiuseppe, M., Partosoedarso, E., vanOostveen, R., & Desjardins, F. J. (2013). Exploring competency development with mobile devices. In M. B. Nunes & M. McPherson (Eds.), International Association for Development of the information society (IADIS) international conference on e-learning (pp. 384–388). Prague: International Association for Development of the Information Society.

    Google Scholar 

  • Ding, R., & Ma, F. (2013). Assessment of university student web searching competency by a task-based online test: A case study at Wuhan University, China. The Electronic Library, 31(3), 359–375. https://doi.org/10.1108/EL-03-2011-0044.

    Article  Google Scholar 

  • Dray, B. J., Lowenthal, P. R., Miszkiewicz, M. J., Ruiz-Primo, M. A., & Marczynski, K. (2011). Developing an instrument to assess student readiness for online learning: A validation study. Distance Education, 32(1), 29–47. https://doi.org/10.1080/01587919.2011.565496.

    Article  Google Scholar 

  • Esbjörnsson, M., Brown, B., Juhlin, O., Normark, D., Östergren, M., & Laurier, E. (2006). Watching the cars go round and round: Designing for active spectating. In. In R. Grinter, T. Rodden, P. Aoki, E. Cutrell, R. Jeffries, & G. Olson (Eds.), Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1221–1224). New York: ACM.

    Google Scholar 

  • Eshet-Alkalai, Y., & Amichai-Hamburger, Y. (2004). Experiments in digital literacy. Cyberpsychology & Behavior, 7(4), 421–429.

    Article  Google Scholar 

  • Farid, A. (2014). Student online readiness assessment tools: A systematic review approach. Electronic Journal of e-Learning, 12(4), 375–382.

    Google Scholar 

  • Garrison, D. R., Cleveland-Innes, M., Koole, M., & Kappelman, J. (2006). Revisiting methodological issues in transcript analysis: Negotiated coding and reliability. The Internet and Higher Education, 9(1), 1–8. https://doi.org/10.1016/j.iheduc.2005.11.001.

    Article  Google Scholar 

  • Gay, G. (2016). An assessment of online instructor e-learning readiness before, during, and after course delivery. Journal of Computing in Higher Education, 28(2), 199–220. https://doi.org/10.1007/s12528-016-9115-z.

    Article  Google Scholar 

  • Greene, J. A., Seung, B. Y., & Copeland, D. Z. (2014). Measuring critical components of digital literacy and their relationships with learning. Computers & Education, 76, 55–69. https://doi.org/10.1016/j.compedu.2014.03.008.

    Article  Google Scholar 

  • Hargittai, E. (2002). Beyond logs and surveys: In-depth measures of people's web use skills. Journal of the American Society for Information Science and Technology, 53(14), 1239–1244. https://doi.org/10.1002/asi.10166.

    Article  Google Scholar 

  • Hargittai, E., & Shafer, S. (2006). Differences in actual and perceived online skills: The role of gender. Social Science Quarterly, 87(2), 432–448. https://doi.org/10.1111/j.1540-6237.2006.00389.x.

    Article  Google Scholar 

  • Herrington, J., Reeves, T. C., & Oliver, R. (2006). Authentic tasks online: A synergy among learner, task, and technology. Distance Education, 27(2), 233–247. https://doi.org/10.1080/01587910600789639.

    Article  Google Scholar 

  • Horzum, M. B., Kaymak, Z. D., & Gungoren, O. C. (2015). Structural equation modeling towards online learning readiness, academic motivations, and perceived learning. Educational Sciences: Theory and Practice, 15(3), 759–770. 10.12738/estp.2015.3.2410.

    Google Scholar 

  • Hung, M.-L. (2016). Teacher readiness for online learning: Scale development and teacher perceptions. Computers & Education, 94, 120–133. https://doi.org/10.1016/j.compedu.2015.11.012.

    Article  Google Scholar 

  • Hung, M.-L., Chou, C., & Chen, C.-H. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55(3), 1080–1090. https://doi.org/10.1016/j.compedu.2010.05.004.

    Article  Google Scholar 

  • IEEE. (1990). IEEE standard computer dictionary: A compilation of IEEE standard computer glossaries. In (pp. 218). New York: The Institute of Electrical and Electronics Engineers.

  • Jayroe, T. J., & Wolfram, D. (2012). Internet searching, tablet technology and older adults. Proceedings of the American Society for Information Science and Technology, 49(1), 1–3. https://doi.org/10.1002/meet.14504901236.

    Article  Google Scholar 

  • Knoblauch, H. (2012). Introduction to the special issue of qualitative research: Video-analysis and videography. Qualitative Research, 12(3), 251–254. https://doi.org/10.1177/1468794111436144.

    Article  Google Scholar 

  • Leigh, D., & Watkins, R. (2005). E-learner success: Validating a self-assessment of learner readiness for online training. In. In ASTD 2005 research-to-practice conference proceedings (pp. 121–131). Alexandria: ATD.

    Google Scholar 

  • Lin, H.-H., Lin, S., Yeh, C.-H., Wang, Y.-S., & Jansen, J. (2015). Measuring mobile learning readiness: Scale development and validation. Internet Research, 26(1), 265–287. https://doi.org/10.1108/IntR-10-2014-0241.

    Article  Google Scholar 

  • Litt, E. (2013). Measuring users’ internet skills: A review of past assessments and a look toward the future. New Media & Society, 15(4), 612–630. https://doi.org/10.1177/1461444813475424.

    Article  Google Scholar 

  • Mason, M. (2010). Sample size and saturation in PhD studies using qualitative interviews. Forum qualitative Sozialforschung/Forum: Qualitative Social Research, 11(3), 1–5.

    MathSciNet  Google Scholar 

  • Merriam, S. B. (1998). Qualitative research and case study applications in education. Revised and expanded from case study research in education. San Francisco: Josey-Bass Publishers.

    Google Scholar 

  • Mosa, A. A., Naz’ri bin Mahrin, M., & Ibrrahim, R. (2016). Technological aspects of e-learning readiness in higher education: A review of the literature. Computer and Information Science, 9(1), 113–127. https://doi.org/10.5539/cis.v9n1p113.

    Article  Google Scholar 

  • Parasuraman, A. (2000). Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001.

    Article  Google Scholar 

  • Park, Y. J. (2015). My whole world’s in my palm! The second-level divide of teenagers’ mobile use and skill. New Media & Society, 17(6), 977–995. https://doi.org/10.1177/1461444813520302.

    Article  Google Scholar 

  • Parkes, M., Stein, S., & Reading, C. (2015). Student preparedness for university e-learning environments. The Internet and Higher Education, 25, 1–10. https://doi.org/10.1016/j.iheduc.2014.10.002.

    Article  Google Scholar 

  • Rourke, L., & Anderson, T. (2004). Validity in quantitative content analysis. Educational Technology Research and Development, 52(1), 5–18. https://doi.org/10.1007/bf02504769.

    Article  Google Scholar 

  • Rourke, L., Anderson, T., Garrison, D. R., & Archer, W. (2001). Methodological issues in the content analysis of computer conference transcripts. International Journal of Artificial Intelligence in Education, 12, 8–22.

    Google Scholar 

  • Savin-Baden, M. (2000). Problem-based learning in higher education: Untold stories. Philadelphia: Open University Press.

    Google Scholar 

  • Siemens, G., Gašević, D., & Dawson, S. (2015). Preparing for the digital university: A review of the history and current state of distance, blended, and online Learning Retrieved from http://linkresearchlab.org/PreparingDigitalUniversity.pdf.

  • Sun, X., & May, A. (2013). A comparison of field-based and lab-based experiments to evaluate user experience of personalised mobile devices. Advances in Human-Computer Interaction, 2013, 2. https://doi.org/10.1155/2013/619767.

    Article  Google Scholar 

  • van Deursen, A. J. A. M. (2010). Internet skills: Vital assets in an information society. (Ph.D. Thesis), University of Twente, Enschede, the Netherlands. Retrieved from http://doc.utwente.nl/75133/1/thesis_van_Deursen.pdf.

  • van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2010). Measuring internet skills. International Journal of Human-Computer Interaction, 26(10), 891–916. https://doi.org/10.1080/10447318.2010.496338.

    Article  Google Scholar 

  • van Deursen, A. J. A. M., Helsper, E. J., & Eynon, R. (2015). Development and validation of the internet skills scale (ISS). Information, Communication & Society, 1–20. https://doi.org/10.1080/1369118X.2015.1078834.

  • vanOostveen, R., DiGiuseppe, M., Barber, W., Blayone, T., & Childs, E. (2016). New conceptions for digital technology sandboxes: Developing a fully online learning communities (FOLC) model. In G. Veletsianos (Ed.), EdMedia 2016: World conference on educational media and technology (pp. 665–673). Vancouver: Association for the Advancement of Computing in Education (AACE).

    Google Scholar 

  • Watkins, R., Leigh, D., & Triner, D. (2004). Assessing readiness for e-learning. Performance Improvement Quarterly, 17(4), 66–79. https://doi.org/10.1111/j.1937-8327.2004.tb00321.x.

    Article  Google Scholar 

  • Wilhelm, J. (2016). What is the minimum sample size to run Pearsons R? (Online Expert Database). Retrieved June 7, 2017, from ResearchGate: https://www.researchgate.net/post/What_is_the_minimum_sample_size_to_run_Pearsons_R.

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Correspondence to Todd J. B. Blayone.

Appendices

Appendix 1: DCP activity item list

Table 5 DCP activity items with scenario mappings and ranked average competency scores

Appendix 2: DCP reported competency, and performance score summaries with correlations by scenario2

Table 6 Scenario 1. Presentation preparation
Table 7 Scenario 2. Democracy data analysis
Table 8 Scenario 3. Conceptual model drawing

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Blayone, T.J.B., Mykhailenko, O., vanOostveen, R. et al. Ready for digital learning? A mixed-methods exploration of surveyed technology competencies and authentic performance activity. Educ Inf Technol 23, 1377–1402 (2018). https://doi.org/10.1007/s10639-017-9662-6

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