Traditional static tests of reading and reading-related skills offer some ability to predict future reading performance, though such screeners may misclassify children with or at risk of reading disorder (RD). Dynamic assessment (DA) is an alternative approach that measures learning potential and may be less dependent on learning background. A…

This applied dissertation examined the use of technological tools in formative assessment activities. These phenomena have left teachers searching for timely methods to perform formative assessment or assessment for learning activities. The problem addressed by this study was that standardized testing, large class size, and increasing distance…

In the wake of the COVID-19 boom in remote administration of language tests, it appears likely that remote administration will be a permanent fixture in the language testing landscape. Accordingly, language test providers, stakeholders, and researchers must grapple with the implications of remote proctoring on valid, fair, and just uses of tests.…

Background: Current UK measures of early spoken language comprehension require manipulation of toys and/or verbal responses and are not accessible to children with severe motor impairments. The Computer-Based Instrument for Low motor Language Testing (C-BiLLT) (originally validated in Dutch) is a computerized test of spoken language comprehension…

Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…

The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…

In support of new local and state discussions about how to most effectively utilize technology in the classroom, Project Tomorrow, in collaboration with Spectrum Business®, is publishing a new series of reports that examine each of the three digital divides (the access, design and use divides) through the lens of the Speak Up Research findings.…

Certainty-based marking (CBM) requires students to indicate their certainty levels alongside their answers. CBM has been shown to enhance self-assessment and metacognitive awareness. This study aimed to explore the implementation of CBM in multiple-choice assessments in physiology. The CBM assessment tool was developed with an artificial…

Background/purpose: Generative artificial intelligence (GenAI) is often promoted as a transformative tool for assessment, yet evidence of its validity compared to human raters remains limited. This study examined whether an AI-based rater could be used interchangeably with trained faculty in scoring complex coursework. Materials/methods:…

This study reports on the experiences students registered for a first-year, undergraduate English Studies module and English Studies lecturers had with the Invigilator app during an online examination in the first semester of 2023. Current research indicates that e-proctoring induces anxiety and uncertainty in students when they write online…

Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…

E-learning has taken the lead over face-to-face instruction in higher education as a response to the COVID-19 pandemic. This shift forced faculty members to adapt to new roles and responsibilities to design and apply online instruction and assessments that require specific skills. This research aims to examine faculty experiences with online…

Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…

Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…

Online assessment is not new to teachers, students and educators worldwide as internet and personal computers have dominated the globe in late 20th and early 21st. centuries. Nonetheless, it was during COVID-19 pandemic that accelerated the development of online assessment as an alternative method to the traditional assessment. This study aims at…