In mathematics education, assessment is increasingly conducted using computer- or tablet-based technologies as alternatives to the traditional paper-and-pencil format. Several studies have examined the impact of test mode (computer vs. paper) on test performance in mathematics, but these studies have produced mixed results and few studies…

Objective: To examine whether student use of AHIMA VLab™ in their academic programs impacts the pass/fail outcomes on their first-attempt national certification exams. This is a four-year longitudinal study, spanning 2017-2020. Methods: Data were extracted from two separate databases: the AHIMA association management system (AMS) known as Aptify…

This study investigates the relationship between text-to-speech (TTS) usage and item-by-item performance in the 2017 eighth-grade National Assessment of Educational Progress (NAEP) math assessment, focusing on students with disabilities (SWDs), English language learners (ELLs), and their general education (GE) peers. Results indicate that all…

Few studies have examined the psychometric properties of the test-related items from the Achievement Emotions Questionnaire (AEQ). Using a sample of 955 university students, we examined the factor structure of 12 emotion items measuring test-related anger, boredom, enjoyment, and pride. Results indicated the four emotions were distinct, allowing…

Purpose: The objective of this study was to compare three distinct methods of test monitoring in the context of distance education--non-proctored remote or online tests, traditional face-to-face proctored tests and remotely proctored tests using software--to analyze if the method in which tests are monitored influences the obtained grades.…

This paper deals with the results of students during the preparing courses of mathematics for entrance exams at an university. These courses take place every year and since the Covid-19 period, they are not only face-to-face, but also online. The study involves students of secondary schools who apply to the university of economics. This report…

An important course in the computer science discipline is 'Data Structures and Algorithms' (DSA). "The coursework" lays emphasis on experiential learning for building students' programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic…

Purpose: The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian…

Questionnaire designers use readability measures to ensure that questions can be understood by the target population. The most common measure is the Flesch-Kincaid Grade level, but other formulas exist. This article compares six different readability measures across 150 questions in a self-administered questionnaire, finding notable variation in…

Computer-based test has been administered in e-learning environments as part of ICT integration in education. Recently, online test is gaining attention in both regular and distance education institutions, and students' preference or perception of an online test versus paper-based test is crucial in successful adoption or implementation of either…

Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

In higher education, the entry-level, not-for-credit courses in Developmental Education play a pivotal role for incoming degree-seeking students. Focusing specifically on Developmental Writing, at two- and four-year public and private institutions across the country, a common requirement to pass the course is a summative argumentative essay that…

Automatic Item Generation (AIG) refers to the process of using cognitive models to generate test items using computer modules. It is a new but rapidly evolving research area where cognitive and psychometric theory are combined into digital framework. However, assessment of the item quality, usability and validity of AIG relative to traditional…

This study introduced dynamic multistage testing (dy-MST) as an improvement to existing adaptive testing methods. dy-MST combines the advantages of computerized adaptive testing (CAT) and computerized adaptive multistage testing (ca-MST) to create a highly efficient and regulated adaptive testing method. In the test construction phase, multistage…

A decision of whether to move from paper-and-pencil to computer-based tests is based largely on a careful weighing of the potential benefits of a change against its costs, disadvantages, and challenges. This paper briefly discusses the trade-offs involved in making such a transition, and then focuses on a relatively unexplored benefit of…