Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…

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.…

There are a limited number of studies about the use of interactive whiteboards (IWBs) in higher education, specifically in teacher education. This study investigated pre-service teachers' perceptions of IWBs. The pre-service teachers involved in the study were studying in nine different teacher training programs. To achieve this goal, a…