Advertisement

Evaluating System Functionality in Social Personalized Adaptive E-Learning Systems

  • Lei Shi
  • Malik Shahzad K. Awan
  • Alexandra I. Cristea
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8095)

Abstract

Along with the theoretical and practical research on introducing a social dimension to adaptive educational hypermedia, the evaluation of such systems becomes more important. Existing evaluation methods are mostly based on statistical and qualitative analysis, in which researcher bias is built in and unavoidable. Moreover, they adopt either a traditional “as a whole” approach making it difficult to evaluate a system from different perspectives, or a “goal specified” approach, which only covers a specific aspect. Therefore, this study proposes a generic method for evaluating system functionality.

Keywords

adaptive educational hypermedia system evaluation framework 

References

  1. 1.
    Ozkan, S., Koseler, R.: Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education 53(4), 1285–1296 (2009)CrossRefGoogle Scholar
  2. 2.
    Chao, R.J., Chen, Y.H.: Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations. Expert Systems with Applications 36(7), 10657–10662 (2009)CrossRefGoogle Scholar
  3. 3.
    Paechter, M., Maier, B., Macher, D.: Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education 54(1), 222–229 (2010)CrossRefGoogle Scholar
  4. 4.
    Shi, L., Al Qudah, D., Qaffas, A., Cristea, A.I.: Topolor: A Social Personalized Adaptive E-Learning System. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds.) UMAP 2013. LNCS, vol. 7899, pp. 338–340. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  5. 5.
    Shi, L., et al.: Evaluation of Social Interaction Features in Topolor - A Social Personalized Adaptive E-Learning System. In: The 13th IEEE International Conference on Advanced Learning Technologies (2013)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lei Shi
    • 1
  • Malik Shahzad K. Awan
    • 1
  • Alexandra I. Cristea
    • 1
  1. 1.Department of Computer ScienceUniversity of WarwickUK

Personalised recommendations