Designing and constructing pedagogical tests that contain items (i.e. questions) which measure various types of skills for different levels of students equitably is a challenging task. Teachers and item writers alike need to ensure that the quality of assessment materials is consistent, if student evaluations are to be objective and effective.…

Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…

This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…

Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has…

Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…

Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…

The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…

Reviews studies that have explored interrelationships among linguistic components in children with language disorders and describes the controversy over the interpretation of these linguistic interrelationships. Explanations for the occurrence or absence of linguistic trade-offs, including limited capacity processing models, and the implications…

This article focuses on development, elaboration, and measurement of word repertoire from world knowledge, as well as factors affecting the word-learning process and vocabulary assessment and remediation methods such as definition and association tasks. Several alternatives for vocabulary expansion based on world knowledge principles are also…

This article relates the ability to understand individual sentences both in and out of context by normal and developmentally delayed children at various developmental stages to the concept of world knowledge. Implications for assessment and treatment of sentence comprehension deficits among language-disordered students are discussed. (PB)

The report and review of literature discusses instructional and assessment practices associated with limited-English-proficient (LEP) adults, and recommends that literacy providers use alternative forms of instruction and assessment for this population that are based on: (1) an explicit emphasis on writing; (2) use of the learner's own cultural…