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B ackground In engineering education, a considerable amount of research effort has been dedicated to study the impacts of student characteristics on their college enrollment, major selection, and college retention. However, there is no standardized categorical classification system of engineering student characteristics in the current literature. Different researchers tend to focus on specific characteristics within the scope of their research interests. This study provides a comprehensive review and analysis of the existing research on the measurement of the characteristics of engineering students. P urpose The study addressed the three questions: (1) what engineering student characteristics have been measured; (2) how do engineering student characteristics impact their educational outcomes; and (3) what measurement and analysis methods have been applied in current studies? A standardized classification system for engineering student characteristics involving external, cognitive, affective, and demographic categories is also proposed. S cope /M ethod The study focused on engineering education. Representative research regarding common characteristics of students from majors of science, technology, engineering, and mathematics were also included. The review covers major academic journals, research books, conference proceedings, and government reports in the areas of science and engineering education for the past two decades. C onclusions The review analysis indicated that students with certain characteristics are more likely to choose engineering as a profession and that those characteristics are either correlated or causally related with one another. However, many research conclusions based on basic statistical analyses fail to model the interaction effects. More advanced measurement techniques are needed that can model the characteristics interactively and concurrently in a complete framework.
Li et al. (Thu,) studied this question.