During the coronavirus disease-2019 (COVID-19) pandemic, many universities have adopted online exam proctoring technologies to monitor and control an increasing number of student cheating incidents. Although it looks like a natural and effective solution for a fair assessment of student online learning performance, the authors argue that…

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…

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…

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…

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…

During the COVID-19 pandemic, academic institutions were forced to pivot toward online education. With the switch to online learning, e-proctoring became a popular choice to continue proctored exam assessments. Many concerns arose from this technology, including privacy, psychological, and performance concerns. With the resumption of in-person…

Online teaching and learning focus on the dissemination of knowledge and information to students who reside in different geographical locations. After the COVID-19 pandemic, online teaching and learning became a popular strategy in all higher learning institutions around the world to continue the interrupted teaching and learning process while…

Multidimensional forced-choice (FC) questionnaires have been consistently found to reduce the effects of socially desirable responding and faking in noncognitive assessments. Although FC has been considered problematic for providing ipsative scores under the classical test theory, item response theory (IRT) models enable the estimation of…

The application of electronic assessments (e-assessment) has become inevitable with the expansion of distance education, and learners' perceptions should be considered when designers improve the system to meet their needs and facilitate their acceptance of the system. This mixed descriptive study investigated university students' perceptions about…

This study proposes an online practicum model supported by Wireless Sensor Network (WSN) to implement a physics practicum after the COVID-19 Pandemic. This system is guided by exploratory inquiry questions to help structure students' mindsets in answering investigative questions. Online practicum is also integrated with video conferencing, chat,…