Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…

This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…

Problem: Practitioners working with multiple-choice tests have long utilized Item Response Theory (IRT) models to evaluate the performance of test items for quality assurance. The use of similar applications for performance tests, however, is often encumbered due to the challenges encountered in working with complicated data sets in which local…

The purpose of this quantitative study is to compare a new assessment tool, the SkillsUSA Connect Assessment with the NOCTI assessment to determine which test results in more students achieving success. A quantitative study, designed to compare test scores of students taking the NOCTI assessment and new assessments from SkillsUSA, called the…

Stereotype threat research has demonstrated how presenting situational cues in a testing environment, such as raising the salience of negative stereotypes, can adversely affect test performance (Perry, Steele, & Hilliard, 2003; Steele & Aronson, 1995) and expectancy (Cadinu, Maass, Frigerio, Impagliazzo, & Latinotti, 2003; Stangor,…

This study compares physician performance on the Computer-Aided Simulation of the Clinical Encounter with peer ratings and performance on multiple choice questions and patient management problems. Results indicate that all formats are equally valid, although multiple choice is the most reliable method of assessment per unit of testing time.…