This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…

Accuracy on assessments is commonly studied in education research but response time (RT) is relatively less investigated even though decades of research in cognitive sciences indicate that time can be an important dimension for understanding student learning. To better understand RT and the potentially important relations between accuracy and RT…

The purpose of this study is to measure the appropriateness of the existing admissions requirements as related to the likelihood of graduation. We employ a five-year sample of students admitted into the graduate program and selected a cutoff date to allow sufficient time for most of each cohort to complete their studies. Following the general…

Because of their open enrollment policies, community colleges serve large numbers of students whose K-12 education has left them unready to succeed in college-level courses. Colleges typically use test scores such as the ACT to place students into appropriate course levels. However, the use of test-based measures alone has been criticized as being…

This study investigated the value of ACT Composite scores and high school GPA (HSGPA) in predicting first-year college GPA (FYGPA) and degree completion of students with disabilities who took the ACT with accommodations and enrolled at a two-year or four-year public institution in a single state in the southern US. Descriptive analyses found that…