Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…

In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…

The aim of this study is to examine how parents' support for their children's science homework and the goal orientation of students in science homework predict their deep learning and management strategies that students use when doing homework. For this purpose, among quantitative research approaches, correlational method was used in the study.…

This booklet focuses on aspects of effective education that appear to be universal in formal schooling. The practices, which are generally for use in elementary and secondary classrooms, show large, positive learning effects for students in widely varying conditions. Information in the booklet is based on research spanning half a century. Each…