Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…

The aim of this quasi-experimental study was to incorporate a cardiac simulation into a computer exam for Level 4 nursing students to determine if it would affect their anxiety levels and overall scores. Nursing education must constantly improve as technology and evidence-based practice evolves the world of healthcare. Literature regarding…

School psychologists often administer evidence-based academic interventions such as Explicit Timing in order to increase math fact fluency. However, little is known about the efficacy of adapting Explicit Timing interventions to be used in a virtual format. This dissertation examines the use of virtually delivered Explicit Timing interventions as…

The purpose of this quantitative, quasi-experimental study was to determine if, and to extent, there is a statistically significant difference between pre and posttest critical thinking scores of U.S. Navy Operations Specialist A-school participants in an adaptive technology training environment and those in the traditional learning environment.…

This dissertation investigates the complexities associated with developing expertise in physics problem-solving and the methods for measuring and assessing the skills involved. Problem-solving skills are critical in today's rapidly changing world, and thus, it is important to emphasize them in education. However, lacking precise methods for…

The growth of computer-based testing over the last two decades has motivated the creation of innovative item formats. It is often argued that technology-enhanced items (TEIs) provide better measurement of test-takers' knowledge, skills, and abilities by increasing the authenticity of tasks presented to test-takers (Sireci & Zenisky, 2006).…

Pressures associated with accountability testing have resulted in a narrowing of both the curriculum and pedagogy that does not meet the needs of high ability learners. This study proposed that either a different measurement (an above-level computer adaptive assessment) or a different model (Tobit model) should be used to more accurately…

In educational tests, a group of questions related to a shared stimulus is called a testlet (e.g., a reading passage with multiple related questions). Use of testlets is very common in educational tests. Additionally, computerized adaptive testing (CAT) is a mode of testing where the test forms are created in real time tailoring to the test…

The purpose of the research was to examine the impact of administrators' instructional technology leadership development on teacher efficacy for preparing students for high-stake online testing. The ten Texas administrators were interviewed two times in this multiple case study to determine if their capacity for instructional technology leadership…

McMillan-Dorman, Stephanie Michelle. Examining the Relationship Between Middle School Students' Participation on i-Ready Computer Adaptive Tests and Math Achievement Scores (Under the direction of Theodore Kaniuka, Ed.D.) Despite over 50 years of effort, educators have witnessed a multiplicity of educational reforms make little to no effect on…

Instructor feedback strategies play a key role in the learning acquisition process, especially in online environments. In addition, educational improvement and reform cannot occur without timely and effective assessment approaches. This study, grounded on Bandura's 1967 "self-efficacy and social cognitive theory," focused on identifying…

This study analyzes the effect of the i-Ready program on Yorkship Family School kindergarteners and focuses on educating kindergarteners on computer-use, to tackle the i-Ready program. The i-Ready program makes it easier for the teachers to specialize in their instructions to each student and enhance effectiveness (Fokides & Zachristou, 2020).…

Twenty-three college students participated in two studies evaluating an application designed to measure stimulus overselectivity in pictures depicting facial affect. We analyzed whether this application worked as designed by evaluating whether it could provide a robust analysis of the types of errors users make (e.g., by matching by the top…

The purpose of this narrative study was to explore primary teachers' perceptions about computer-based reading comprehension assessments to understand their adoption practices and any associated hesitancy around implementing computer-based assessments. As such, this study sought understand how primary teachers explain their experiences, challenges,…

This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…