Evaluating System Functionality in Social Personalized Adaptive E-Learning Systems

نویسندگان

  • Lei Shi
  • Malik Shahzad Kaleem Awan
  • Alexandra I. Cristea
چکیده

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.

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تاریخ انتشار 2013