Abstract
This poster will present the results of a pilot study that examined the efficacy of a computational model to support users in determining quality in educational digital libraries. The subsequent research design of a larger follow-on project will also be presented. It is anticipated that the conceptual and computational models that will be created for scaffolding quality judgments about library resources can be empirically validated, and ultimately integrated into digital library tools and services. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Sumner, T., Marlino, M., & Custard, M. (2005). Developing a computational model of “quality” for educational digital libraries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3652 LNCS, pp. 541–542). https://doi.org/10.1007/11551362_73
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