Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

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.…

This study examines the effectiveness of multiple methods of soliciting attributions. The Attributional Style Questionnaire, specific attributions, and causal dimensions are used to predict the grades and feelings of frustration of college algebra students. The results show that, contrary to current theoretical work, both specific attributions and…