Abstract
This article reports a study of eLearning in 21 courses in Hong Kong universities that had a blended design of face-to-face classes combined with online learning. The main focus of the study was to examine possible relationships between features of online learning designs and student learning outcomes. Data-collection strategies included expert reviews of the learning designs, student surveys of perceptions of the web environment and their own learning outcomes, and a SOLO (structure of observed learning outcomes) analysis of assessment evidence of student learning outcomes. The findings of this correlational study indicate mild relationships between features of learning design and student perceptions of their learning outcomes. Both the provision of learning resources and the engagement of students in online communication relate to aspects of learning (acquisition of knowledge and skills, and enhancement of learning motivation). Also, the relationship was stronger when eLearning strategies were more extensively used. However, no relationship was found between learning design and the student performance in assessment tasks, possibly because of the limited assessment data that was examined.
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Agostinho, S., Oliver, R., Harper, B., Hedberg, J., & Wills, S. (2002). A tool to evaluate the potential for an ICT-based learning design to foster ‘high-quality learning’. In A. Williamson, C. Gunn, A. Young, & T. Clear (Eds.), Winds of change in the sea of learning (pp. 29–38). Proceedings of the 19th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education (ASCILITE 2002), Auckland New Zealand. Retrieved December 28, 2010, from http://www.ascilite.org.au/conferences/auckland02/proceedings/papers/164.pdf.
Bennett, N., Dunne, E., & Carre, C. (1999). Patterns of core and generic skill provision in higher education. Higher Education, 37(1), 71–93.
Biggs, J. (1987). Student approaches to learning and studying. Melbourne: Australian Council for Educational Research.
Biggs, J. B., & Collis, K. F. (1982). Evaluating the quality of learning: The SOLO taxonomy. New York: Academic Press.
Davies, J., & Graff, M. (2005). Performance in e-learning: On-line participation and student grades. British Journal of Educational Technology, 36, 657–663.
Ginns, P., & Ellis, R. (2007). Quality in blended learning: Exploring the relationships between on-line and face-to-face teaching and learning. Internet and Higher Education, 10, 53–64.
Hannafin, M. J., Hannafin, K. M., Hooper, S. R., Rieber, L. R., & Kini, A. S. (1996). Research on and research with emerging technologies. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 378–402). New York: Simon & Schuster Macmillan.
Johnson, S. D., Aragon, S. R., Shaik, N., & Palma-Rivas, N. (2000). Comparative analysis of learner satisfaction and learning outcomes in online and face-to-face-learning environments. Journal of Interactive Learning research, 11(1), 29–49.
Kember, D., McNaught, C., Chong, F. C. Y., Lam, P., & Cheng, K. F. (2010). Understanding the ways in which design features of educational websites impact upon student learning outcomes in blended learning environments. Computers & Education, 55, 1183–1192.
Levin, J., Fox, J. A., & Forde, D. R. (2010). Elementary statistics in social research (11th ed.). Boston: Allyn & Bacon Pearson.
Lim, D. H., Morris, M. L., & Kupritz, V. W. (2007). Online vs. blended learning: Differences in instructional outcomes and learner satisfaction. Journal of Asynchronous Learning Networks, 11(2), 27–42.
Lam, C., Lo, J., Yeung, A., & McNaught, C. (2010). Examining diffusion and sustainability of e-learning strategies through weblog data. International Journal of E-Adoption, 2(3), 39–52.
Lockyer, L., Bennett, S., Agostinho, S., & Harper, B. (Eds.). (2009). Handbook of research on learning design and learning objects: Issues, applications and technologies. Hershey, PA: Information Science Publishing.
Macdonald, J. (2003). Assessing online collaborative learning: Process and product. Computers & Education, 40, 377–391.
McConnell, D. (2002). The experience of collaborative assessment in e-learning. Studies in Continuing Education, 24(1), 73–92.
McNaught, C. (2011). The best of both worlds: Effective hybrid learning designs in higher education in Hong Kong. In R. Kwan, E. Young, & B. White (Eds.). ICHL 2011, LNCS 6837 (pp. 1–9). Heidelberg: Springer. Publication of Keynote address at the International Conference on Hybrid Learning 2011. 10–12 August 2011, Hong Kong.
McNaught, C., Lam, P., & Cheng, K. F. (2009). Using expert reviews to enhance learning designs. In L. Lockyer, S. Bennett, S. Agostinho, & B. Harper (Eds.), Handbook of research on learning design and learning objects: Issues, applications and technologies (pp. 243–262). Hershey, PA: Information Science Publishing.
McNaught, C., Lam, P., Chan, E., Yuen, S., & Ho, E. (in press). Cultural aspects of adoption of innovation: A case study with implementing a lecture-recording system in a university in Hong Kong. Journal of the NUS Teaching Academy (JNUSTA).
Nightingale, P., Te Wiata, I., Toohey, S., Ryan, G., Hughes, C., & Magin, D. (1996). Assessing learning in universities. Sydney: Professional Development Centre, University of New South Wales.
Oliver, R., Harper, B., Hedberg, J., Wills, S., & Agostinho, S. (2002). Formalising the description of learning designs. In A. Goody, J. Herrington, & M. Northcote (Eds.), Quality conversations: Research and Development in Higher Education (Vol. 25, pp. 496–504). Jamison, ACT: HERDSA.
Oliver, R., & McLoughlin, C. (2001). Exploring the practice and development of generic skills through web-based learning. Journal of Educational Multimedia and Hypermedia, 10(3), 207–225.
McNaught, C., Phillips, P., Rossiter, D., & Winn, J. (2000). Developing a framework for a usable and useful inventory of computer-facilitated learning and support materials in Australian universities. Evaluations and Investigations Program report 99/11. Canberra: Higher Education Division Department of Employment, Education, Training and Youth Affairs, Australia. Retrieved August 2, 2011, from http://www.dest.gov.au/highered/eippubs1999.htm.
Reeves, T. C. (1999). A model to guide the integration of the WWW as a cognitive tool in K-12 education. American Educational Research Association (AERA) annual meeting. Montreal, 19–23 April 1999. Retrieved August 2, 2011, from http://it.coe.uga.edu/~treeves/AERA99Web.pdf.
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.
Acknowledgements
The work described in this article was partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project no. CUHK4105.04H). The collegial support of teachers and students in the 21 courses involved in the project is warmly acknowledged.
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McNaught, C., Lam, P. & Cheng, K.F. Investigating relationships between features of learning designs and student learning outcomes. Education Tech Research Dev 60, 271–286 (2012). https://doi.org/10.1007/s11423-011-9226-1
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DOI: https://doi.org/10.1007/s11423-011-9226-1