Skip to main content

Role of Digital Fluency and Spatial Ability in Student Experience of Online Learning Environments

Digital Readiness for Evolution of Educational Ecosystem

  • Conference paper
  • First Online:
Intelligent Computing (SAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 857))

Included in the following conference series:

Abstract

Online learning environments have become a standard support for most higher education courses, whether they are face to face, hybrid, or online. During their years of study, today’s students will need to navigate these online learning environments: from finding the syllabus to interacting with the faculty virtually. However, not all learners have equal facility when dealing with online environments. In this article we report results of two exploratory studies investigating cognitive characteristics involved in learning and personal pre-requisites that are important for a positive learner experience in an online learning environment. In particular, we examined the perceived easiness of use and perceived helpfulness of the OLE, as related to the user’s digital fluency and spatial ability. Logistic regression of scores in digital fluency (DF) tests on dichotomized survey responses demonstrated that senior undergraduate students with higher DF scores find online learning environments easy to use, and helpful, more often than their peers having lower DF scores. Comparison of mental rotation scores with the digital fluency scores, by means of linear regression analysis, demonstrated statistically significant association between spatial ability and digital fluency. As previous studies demonstrated that spatial ability can be trained, these results will facilitate digital readiness for the expansion of educational ecosystem and will help people to make better use of eLearning materials.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Oblinger, D., Oblinger, J.L., Lippincott, J.K.: Educating the net generation. EDUCAUSE, Boulder (2005)

    Google Scholar 

  2. Horrigan, J.B.: Lifelong Learning and Technology. Digital Readiness Gaps, PEW reports (2016)

    Google Scholar 

  3. Parker, K., Lenhart, A., Moore, K.: The Digital Revolution and Higher Education. Pew Research Center, Washington, D.C. (2011)

    Google Scholar 

  4. Dahlstrom, E.: ECAR EduCause Study of Undergraduate Students and Information Technology (2013)

    Google Scholar 

  5. Mueller, D., Strohmeier, S.: Design characteristics of online learning environments: state of research. Comput. Educ. 57(4), 2505–2516 (2011)

    Article  Google Scholar 

  6. Graf, S., Liu, T.C.: Analysis of learners’ navigational behaviour and their learning styles in an online course. J. Comput. Assist. Learn. 26(2), 116–131 (2010)

    Article  Google Scholar 

  7. Xu, D., Jaggars, S.S.: Online and hybrid course enrollment and performance in Washington state community and technical colleges. CCRC Working Paper No. 31. Community College Research Center, Columbia University (2011)

    Google Scholar 

  8. Eom, S.B., Wen, H.J., Ashill, N.: The determinants of students’ perceived learning outcomes and satisfaction in university online education: an empirical investigation*. Decis. Sci. J. Innovative Educ. 4(2), 215–235 (2006)

    Article  Google Scholar 

  9. Tchoubar, T.: Effective use of multimedia explanations in open e-learning environment fosters student success. IJIET 4(1), 63–66 (2014)

    Article  Google Scholar 

  10. Keller, J.M.: Development and use of the ARCS model of instructional design. J. Instr. Dev. 10(3), 2–10 (1987)

    Article  Google Scholar 

  11. Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84, 191–215 (1977)

    Article  Google Scholar 

  12. Hsieh, J.P.A., Rai, A., Keil, M.: Understanding digital inequality: comparing continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS Q., 97–126 (2008)

    Google Scholar 

  13. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q., 319–340 (1989)

    Article  Google Scholar 

  14. Saade, R., Bahli, B.: The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Inf. Manag. 42(2), 317–327 (2005)

    Article  Google Scholar 

  15. Johnson, S.B., Adams, M., Cummins, V., Estrada, A.Freeman, et al.: NMC Horizon Report: 2013 Higher Education Edition. The New Media Consortium, Austin (2013)

    Google Scholar 

  16. Raniery, M., Calvani, A., Fini, A.: Digital Competence. Theoretical Models, Assessment Tools and Empirical Research (real Digital Literacy tests, secondary education, in Italy (1056 respondents) and China (330)) (2011)

    Google Scholar 

  17. Margaryan, A., Littlejohn, A., Vojt, G.: Are digital natives a myth or reality? University students’ use of digital technologies. Comput. Educ. 56(2), 429–440 (2011)

    Article  Google Scholar 

  18. Ng, W.: Can we teach digital natives digital literacy? Comput. Educ. 59(3), 1065–1078 (2012)

    Article  Google Scholar 

  19. Weasenforth, D., Meloni, C., Biesenbach-Lucas, S.: Learner autonomy and course management software. Distance Educ. Lang. Evol. Change, 195–211 (2005)

    Google Scholar 

  20. National research council: Learning to think spatially: GIS as a support system in K-12 education (2006)

    Google Scholar 

  21. Just, M.A., Carpenter, P.A.: Cognitive coordinate systems: accounts of mental rotation and individual differences in spatial ability. Psychol. Rev. 92(2), 137 (1985)

    Article  Google Scholar 

  22. Gallagher, S.A.: Predictors of SAT mathematics scores of gifted male and gifted female adolescents. Psychol. Women Q. 13(2), 191–203 (1989)

    Article  Google Scholar 

  23. Gimmestad, B.B, Sorby, S.A.: Making connections: spatial skills and engineering drawing. Math. Teachers 89, 348–353 (1996)

    Google Scholar 

  24. Ferguson, E.S.: The mind’s eye: non-verbal thought in technology. Science, 827–836 (1977)

    Article  Google Scholar 

  25. Pribyl, J.R., Bodner, G.M.: Spatial ability and its role in organic chemistry: a study of four organic courses. J. Res. Sci. Teach. 24(3), 229–240 (1987)

    Article  Google Scholar 

  26. Lord, T.R.: Enhancing learning in the life sciences through spatial perception. Innov. High. Educ. 15(1), 5–16 (1990)

    Article  Google Scholar 

  27. Wai, J., Lubinski, D., Benbow, C.P.: Spatial ability for STEM domains: aligning over 50 years of cumulative psychological knowledge solidifies its importance. J. Educ. Psychol. 101(4), 817 (2009). A stratified randomized longitudinal study of 400,000 US high school students

    Article  Google Scholar 

  28. Downing, R.E., Moore, J.L., Brown, S.W.: The effects and interaction of spatial visualization and domain expertise on information seeking. Comput. Hum. Behav. 21(2), 195–209 (2005)

    Article  Google Scholar 

  29. Höffler, T.N.: Spatial ability: Its influence on learning with visualizations—a meta-analytic review. Educ. Psychol. Rev. 22(3), 245–269 (2010)

    Article  Google Scholar 

  30. Akinlofa, O.R., Holt, P.O.B., Elyan, E.: The cognitive benefits of dynamic representations in the acquisition of spatial navigation skills. Comput. Hum. Behav. 30, 238–248 (2014)

    Article  Google Scholar 

  31. Rouet, J., Voros, Z., Pleh, C.: Incidental learning of links during navigation: the role of visuo-spatial capacity. Behav. Inf. Technol. 31(1), 71–81 (2012)

    Article  Google Scholar 

  32. Ala-Mutka, K.: Mapping digital competence: towards a conceptual understanding. Institute for Prospective Technological Studies. European Commission (2011)

    Google Scholar 

  33. Covello, S., Lei, J.: A review of digital literacy assessment instruments. Syracuse University (2010)

    Google Scholar 

  34. Robins, C., Shepard, R.N.: Spatio-temporal probing of apparent rotational movement. Atten. Percept. Psychophys. 22(1), 12–18 (1977)

    Article  Google Scholar 

  35. Saade, R., Nebebe, F., Mak, T.: Knowledge management systems development: theory and practice. Interdiscip. J. Inf. Knowl. Manag. 6, 35–72 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tatiana Tchoubar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tchoubar, T., Sexton, T.R., Scarlatos, L.L. (2019). Role of Digital Fluency and Spatial Ability in Student Experience of Online Learning Environments. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 857. Springer, Cham. https://doi.org/10.1007/978-3-030-01177-2_18

Download citation

Publish with us

Policies and ethics