Technological advancements, particularly in artificial intelligence, significantly transform our society and work practices. Computational thinking (CT) has emerged as a crucial 21st-century skill, enabling individuals to solve problems more effectively through an automation-oriented perspective and fundamental concepts of computer science. To…

The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…

This study investigates the effectiveness of the PACE approach (Adair-Hauck & Donato, 2002) for grammar teaching in beginning (novice mid/high) second language (L2) Spanish classes. Even though research has reported instructional benefits for PACE in L2 French (Groenveld, 2011), Alutiiq (Branson, 2015), and ESL (Harris, 2017; Ngo, 2018), to…

The purpose of the study was to develop mathematical instructional card game titled "algebrameter" and determine its efficacy in remediating junior secondary school (JSS) students' learning difficulties in algebra and geometry. The study employed research and development design. A sample of 120 JSS II students drawn from a population of…

The United States history survey course is a standard high school history class in the state of New York. The academic goal is for students to understand key people and developments that molded the United States into its modern identity as a progressive, democratic nation-state. This research examined one manifestation of this course in New York…

Multiple-choice quizzes (MCQs) are a popular form of assessment. A rapid shift to online assessment during the COVID-19 pandemic in 2020, drove the uptake of MCQs, yet limited invigilation and wide access to material on the internet allow students to solve the questions via internet search. ChatGPT, an artificial intelligence (AI) agent trained on…

Organic chemistry is a class well known to be difficult and necessary for many careers in the sciences, and as a result, has garnered interest in researching ways to improve student learning and comprehension. One potential way involves using eye tracking techniques to understand how students visually examine questions. Organic chemistry involves…

The Korean College Scholastic Ability Test (CSAT) aims to assess Korean high school students' scholastic ability required for college readiness. As a high-stakes test, the examination serves as a pivotal hurdle for university admission and exerts a strong washback effect on the educational system in Korea. The present study set out to investigate…

The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the…

Multiple choice questions (MCQs) are commonly used for assessing students, but medical teachers may lack training in writing them. MCQs often have imperfections called item-writing flaws (IWFs) that can affect students' results and impede objective evaluation of their knowledge. This study aimed to evaluate a guideline-based faculty development…

Answering the call for response process-based validation, this study shows how researchers can evaluate validity evidence of test scores based on the mental "processes" test-takers use, rather than based on correlations with other "outcome" measures. The proposed methods for process-based validation studies are demonstrated…

This study addresses equating issues with varying sample sizes using the Rasch model by examining how sample size affects the stability of item calibrations and person ability estimates. A resampling design was used to create 9 sample size conditions (200, 100, 50, 45, 40, 35, 30, 25, and 20), each replicated 10 times. Items were recalibrated…

Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed the analysis of large datasets called modified…

Three-dimensional (3D) digital anatomical models show potential to demonstrate complex anatomical relationships; however, the literature is inconsistent as to whether they are effective in improving the anatomy performance, particularly for students with low spatial visualization ability (Vz). This study investigated the educational effectiveness…

The structure of many science programs at the college level assumes that students are able to draw on and integrate ideas from multiple disciplinary contexts. However, most assessment tools focus on learning in the context of a single discipline. We describe the development and validation of an instrument to measure how well students are able to…