This study proposes a software system for determining gaze patterns in on-screen testing. The system applies machine learning techniques to eye-movement data obtained from an eye-tracking device to categorize students according to their gaze behavior pattern while solving an on-screen test. These patterns are determined by converting eye movement…

Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…

Within the field of education, there has been an increasing recognition of the importance of formative assessment and of structural knowledge. In an effort to fill needs in each of these areas, this article describes an innovative feedback strategy intended to improve students' structural knowledge. Twenty-four high school physics students were…

This study explores the efforts at Brigham Young University to improve preservice candidates' technology integration using the Teacher Work Sample (TWS) as an assessment tool. Baseline data that was analyzed from 95 TWSs indicated that students were predominantly using technology for productivity and information presentation purposes even though…

This proof-of-concept investigation describes a computer-based approach for deriving the knowledge structure of individuals and of groups from their written essays, and considers the convergent criterion-related validity of the computer-based scores relative to human rater essay scores and multiple-choice test scores. After completing a…