Computer Based Testing has become a prominent method in student assessment in Nigeria and student perception on this testing technique is paramount. This study examined the perception of undergraduate students towards computer based testing by comparing several modules studied by Undergraduate students in Nigeria which constitutes a major gap in…

This is a descriptive study to investigate one of the most critical issues faced by teachers in evaluating their students' performance at the university level during COVID-19. It aimed to specify the exams' problems faced by the Jordanian universities' teaching staff members, and the strategies they used to face cheating by their students in…

High-stakes testing is meant to create a positive washback effect on student learning. Performance funding can raise stakes. However, it is not often used, and its washback is uncertain. The purpose of this paper is to examine performance-funding programs based on students' exam results. We study principals' perceptions and interpretations of how…

Technology is increasingly being used to foster engagement, enhance classroom dynamics, promote autonomy and improve the student learning experience in language learning environments. Many teachers have begun to employ digital apps and tools (e.g. Mentimeter and GoSoapBox) as a more interactive alternative to traditional activities. One product…

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…

Item preknowledge refers to the phenomenon in which some examinees have access to live items before taking a test. It is one of the most common and significant concerns within the testing industry. Thus, various statistical methods have been proposed to detect item preknowledge in computerized linear or adaptive testing. However, the success of…

Postsecondary institutions, especially selective ones, use standardized tests such as SAT and ACT as important indicators to measure applicants' academic abilities. However, many studies have found that the test scores correlate to applicants' racial/ethnic backgrounds. Selective institutions work hard to secure their diverse classes. Hence, more…

Since 2018, colleagues from two research centers at Dublin City University have been collaborating to develop a measurement scale to assess individuals' ability to identify workplace bullying. Having agreed on an operational definition of the construct, an item pool of 26 workplace bullying scenarios, that is, short descriptions of…

With the introduction of a new initiative in a teaching and learning environment there is an ethical responsibility to consider whether the impact of the introduction has met its intended goals, and whether it has harmed those who are influenced by it. Technology and infrastructure developments have encouraged a continued growth in the development…

Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

Computer-based curriculum-based measurement (CBM) is a relatively common practice, but surprisingly few studies have examined the reliability of computer-based CBM. This study sought to examine the reliability of CBM administered via paper/pencil versus the computer. Twenty-one of 25 students in two third-grade classes (N = 21) participated in two…

Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…

The COVID-19 pandemic forced Higher Education Institutes (HEIs) to adopt alternative approaches to the delivery of their learning activities, including examinations. Many HEIs choose Remote Electronic Examinations (REEs) as a one-way solution due to physical presence restriction measures imposed by governments around the world. The present study…

From the beginning of the twentieth century to the present, the development of the history of education in China can be divided into four stages: a budding period, one of tortuous development, a recovery stage and finally one of stable growth influenced by various ideas and themes from other countries. Abundant academic areas and topics as well as…

Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…