Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…

The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…

State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…

Science instructors are increasingly incorporating teaching techniques that help students develop core competencies such as critical-thinking and communication skills. These core competencies are pillars of career readiness that prepare undergraduate students to successfully transition to continuing education or the workplace, whatever the field.…

The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…

This study examines factors affecting students' performances in an Introductory Sociology course over five semesters. Employing simple and ordered logit regression models, the author explains final grades by focusing on individual demographic and educational characteristics that students bring into the classroom. The results show that a student's…

The authors investigated the results of the Educational Testing Service Major Field Test (ETS-MFT) administered to business majors at a U.S. state university. Longitudinal trends and cross-sectional differences are documented, including significant performance differences among students of different majors. Findings suggest that a cohort affect…

Data from the National Education Longitudinal Study of 1988-2000 (NELS: 88) were used to examine the characteristics of students who see their school counselor about general, academic, career, and academic issues. Study results indicated that overall, school counselors were more likely to have contact with students who are identified as at-risk…

The study examined the role of classroom assessment and its relationships to student characteristics and mathematics performance by comparing the USA, Canada and Finland using Program of International Student Assessment (PISA) 2003 data. The results indicated that student individual characteristics such as gender, family social-cultural status,…

This article discusses how the Adequate Yearly Progress (AYP) accountability mechanism of No Child Left Behind makes use of supposedly objective standardized test scores to describe schools in a certain way when the very same results could serve to draw very different conclusions. Examining the proficiency scores of students from a specific middle…

Education professionals and policy makers have been working to "close the achievement gap" for some time. Differences in school performance for children from diverse and different family backgrounds have been at the core of past and present social, political, and education reform initiatives and practices. Previous research suggests that…

Chicago's Renaissance 2010 seeks to create 100 new and autonomous schools by 2010. These new schools are expected to increase choice for parents and students, enact innovative practices, and help create a portfolio of schools designed to make the Chicago Public Schools (CPS) more diversified, responsive, and effective. Renaissance Schools Fund…

We use data from the 1990/1994 Beginning Post-Secondary Survey to determine whether the factors associated with long-term attrition from higher education differ for students who initially enrolled part-time as compared to for students who initially enrolled full-time. Using a two-stage sequential decision model to analyze the initial enrollment…

One hundred thirteen elementary students were tested using four standardized instruments; their teachers rated each student on eight bipolar constructs and predicted scores. Results indicate that students who are perceived positively receive higher score predictions, even when academic competence is controlled. Boys seemed to be especially subject…