Evaluating the Usability of Adaptive Recommendations

Presentation by Stephan Weibelzahl (National College of Irland) at Lernen, Wissen, Adaptivität (LWA 2008), University of Würzburg, 6.-8. October 2008. Track: ABIS.

Stephan Weibelzahl developed HTML-Tutor, an interactive learning environment which offers an introduction to HTML and publishing on the Web.

Most system in academia remain at the prototype level with poor usability. This is acceptable as prototypes are vehicles to provide proof of concepts of an approach. However, in the long run scientists need to demonstrate the effects and impact of adaptive systems. Consequently, we need to start taking usability criteria into account when developing and evaluating scientific software. The authors aim at analysing the effects of usability on adaptation.

An adaptive peer finder is presented. The system is based on the adaptive learning system AHA! by de Bra and Calvi.

Further Readings:

2 Responses to “Evaluating the Usability of Adaptive Recommendations”

  1. [...] Prospect: Improve adaptation; reducing human efforts to ensure quality and up-to-dateness of model data; semi-automatic pattern recognition, classification and evaluation at run-time; predication of behaviour based on correlations; integration of CI approaches into popular learning environment (Sakai; see also Stephan Weibelzahl) [...]

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