Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…

Evaluating major post-secondary education improvement projects involves multiple perspectives, including students' perceptions of their experiences. In the final year of a seven-year department-wide science education initiative, we asked students in 48 courses to rate the extent to which each of 39 teaching or learning strategies helped them learn…

This paper reports on a study which investigated the effectiveness of an explicit instruction approach in a Japanese university setting with third-year science and technology students in an English for Specific Purposes (ESP) course. The two aims of this study were: 1) to explore changes in students' attitudes and understanding of summary writing,…

We apply a "tutorial design process", which has proven to be successful for a number of physics topics, to design curricular materials or "tutorials" aimed at improving student understanding of important concepts in a university-level introductory materials science and engineering course. The process involves the identification…