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Quantitative influence of HCI characteristics in a blended learning system

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Abstract

Of late blended learning is a popular choice of training in India. To assess the effectiveness of Human Compute Interaction (HCI) in blended mode, evaluation by trainee group was undertaken. The trainees with a background in commerce evaluated the blended learning system using a Likert type evaluation form. Due to the non-parametrical nature of data, we adopt RIDIT method to analyze data. The novel approach in this paper is the use of RIDIT method to analyze qualitative HCI features quantitatively. The trainee feedback has provided an understanding of the extent to which blended learning is acceptable. The evaluation provides insight into level of preference given among human-human, human-computer and technology aspect by trainees. This evaluation looks promising and provides opportunity for further developments in blending HCI features into blended learning environment to provide worthwhile and relevant learning opportunities.

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Abbreviations

HCI:

Human computer interface/interaction

References

  • Agresti, A. (1984). Analysis of ordinal categorical data. NY: John Wiley and Sons.

    MATH  Google Scholar 

  • Axmann, M. (2006). Facilitating quality discussions through student-centered-discussion in the online environment. Melbourne: Workshop Materials, Open University Australia.

    Google Scholar 

  • Berge, Z. L., & Yi-Ping, H. (2004). A model for sustainable student retention: a holistic perspective on the student dropout problem with specific attention to E-learning. DEOSNEWS, 13(5), 1–26.

    Google Scholar 

  • Bross, I. (1958). How to use RIDIT analysis. Biometrics, 14(1), 18–38.

    Article  Google Scholar 

  • Chapanis, A. (1965). Man machine engineering. Belmont: Wadsworth publishing company.

    Google Scholar 

  • Chien-Ho, Wu. (2007). On the application of grey relational analysis and RIDIT analysis to Likert scale surveys. International Mathematical Forum, 2(14), 675–687.

    MathSciNet  MATH  Google Scholar 

  • Clason, D., & Dormody, T. (1994). Analyzing data measured by individual Likert-type items. Journal of Agricultural Education, 35(4), 31–35.

    Article  Google Scholar 

  • Creswell, J. W. (1994). Research design-qualitative and quantitative approaches. London: Sage Publication.

    Google Scholar 

  • Anderson & Elloumi (2008). Theory and practice of online learning. 2nd Ed. Athabasca University.

  • Graham, C. R. (2005). The handbook of blended learning-global perspectives, local designs. San Francisco: Pfeiffer publishing.

    Google Scholar 

  • Kitamura, R., Nishii, K., & Goulias, K., (1988). Trip chaining behaviour by central city commuters: a causal analysis of time-space constraints. Paper presented at the Oxford Conference on Travel and Transportation.

  • Lankford, S. V. (1994). Attitudes and perceptions towards tourism and rural regional development. Journal of Travel Research, 32(3), 35–43.

    Article  Google Scholar 

  • Likert, R. (1967). The method of constructing an attitude scale. In M. Fishbein (Ed.), Readings in attitude theory and measurement (pp. 90–95). New York: John Wiley & Sons.

    Google Scholar 

  • Litwin, M. (1995). How to measure survey reliability and validity. London: Sage Publication.

    Google Scholar 

  • Lucas, H. C. (1975). Performance and the use of an information system. Management Science, 21(8), 908–919.

    Article  Google Scholar 

  • Mc Kay, E. (2008). The human dimensions of human-computer interaction: balancing the HCI equation. Netherlands: Ios Press.

    Google Scholar 

  • McKay, & Martin. (2007). Multi-disciplinary collaboration to unravel expert knowledge: designing for effective human-computer interaction. In M. J. Keppel (Ed.), Instructional design: case studies in communities of practice (pp. 309–329). Hershey: Information science publication.

    Chapter  Google Scholar 

  • Norman, D. (1986). Cognitive engineering. In D. Norman & S. Draper (Eds.), User centered design: new perspective on human-computer interaction. Hillsdale: Lawrence Erlbaum.

    Google Scholar 

  • Picard, R. W. (1997). Affective computing. Cambridge: MIT Press.

    Google Scholar 

  • Ramachander, P. (2004). Towards the responsible management of socio-cultural impact of township tourism. PhD Dissertation: University of Pretoria.

    Google Scholar 

  • Shneiderman, B., & Plaisant, C. (2004). Designing the user interface: strategies for effective human-computer interaction (4th ed.). Boston: Pearson/Addison-Wesley.

    Google Scholar 

  • Timmermans, H., Arentze, T., & Hyeon, J. C. (2002). Analyzing space-time behaviour: new approaches to old problems. Progress in Human Geography, 26(2), 175–190.

    Article  Google Scholar 

  • Veal, A. J. (2005). Research methods for leisure and tourism: a practical guide (3rd ed.). Harlow: FT Prentice-Hall.

    Google Scholar 

  • Williams, B. (2007). Students’ perceptions of prehospital web-based examinations. International Journal of Education and Development Using Information and Communication Technology, 3(1), 54–63.

    Google Scholar 

  • Zhang, P., Galletta, D., Li, N., & Sun, H. (2008). Human-computer interaction. In W. Huang (Ed.), Management information systems. Beijing China: Tsinghua University Press.

    Google Scholar 

Download references

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Correspondence to Poornima Nataraja.

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Nataraja, P., Raju, G.T. Quantitative influence of HCI characteristics in a blended learning system. Educ Inf Technol 18, 687–699 (2013). https://doi.org/10.1007/s10639-012-9191-2

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