Digital administration of assessments allows for the collection of process data indices, such as response time, which can serve as indicators of rapid-guessing and examinee test-taking effort. Setting a time threshold is essential to distinguish effortful from effortless behavior using item response times. Threshold identification methods may…

The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…