Machine learning (ML) has become commonplace in educational research and science education research, especially to support assessment efforts. Such applications of machine learning have shown their promise in replicating and scaling human-driven codes of students' work. Despite this promise, we and other scholars argue that machine learning has…

Identifies and describes the differences in the problem-solving methods used by faculty teaching introductory chemistry and students enrolled in an introductory chemistry course. Results indicate that students correctly solve algorithmic-mode problems more frequently. Contains 33 references. (DDR)

Reports on a study in which two spatial tests were given to science and engineering majors and to students in nursing and agriculture at Purdue University (Indiana). Scores from the tests consistently contributed a small but significant amount of success on measures of performance in chemistry. (TW)

Reports on a study which examined the relationship between spatial ability and performance in organic chemistry. Results indicated that students with high spatial scores did significantly better on questions requiring problem solving skills, as well as on those requiring the mental manipulation of two-dimensional representations of a molecule. (TW)

Examines the hypothesis that there are preliminary stages in problem solving that are often neglected in teaching chemistry. Discusses correlations calculated between the student's ability to handle disembedding and cognitive restructuring tasks in the spatial domain and ability to solve chemistry problems. (TW)

Describes a study that explores the instructional influence of presenting pictures at the molecular level when introducing chemistry concepts and solving chemistry problems. Explores the effect of the pictures on students' conceptions and problem-solving abilities. Contains 59 references. (DDR)