There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

New ways of using factor analysis in research designs are suggested in this paper that would allow research to move in new directions that are being suggested for educational technology. A brief simplified overview of factor-analytic techniques is given, followed by a description of some recent developments in factor-analytic techniques which make…

This report on Phase IV, of a four-phase study, provided for the development of evaluation templates and instruments to be used by the California Department of Education to facilitate systematic assessment of state funded educational technology programs and projects. These assessment documents comprised the major data collection sources for the…