This study aimed to understand the effects of a custom-developed, artificial intelligence-based, asynchronous remote invigilation system on the student user experience. The study was conducted over 3 years at a large Australian university, and findings demonstrate that familiarity with the system over time improved student attitudes towards remote…

This study investigates grade inflation in 127 language, linguistics, translation, education, and computer courses taught at some Saudi universities before, during and after the Pandemic. Grades obtained from some instructors for courses taught over 8 semesters were analyzed. It was found that between 20% 65% chose a pass/no-grade results, the…

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…

Every decision made in the classroom has the potential to either help or hurt a student's development as a learner. When students' mental and emotional well-being are taken into account, effective instruction and assessment are possible, despite the importance of learners' engagement in assessment (LEA), test-taking skills (TTS), self-assessment…

Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…

Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…

ChatGPT, a sophisticated online chatbot, sent shockwaves through many sectors once reports filtered through that it could pass exams. In higher education, it has raised many questions about the authenticity of assessment and challenges in detecting plagiarism. Amongst the resulting frenetic hubbub, hints of potential opportunities in how ChatGPT…

Research has shown that novel words can be learned through the mechanism of statistical or cross-situational word learning (CSWL). So far, CSWL studies using adult populations have focused on the presentation of spoken words. However, words can also be learned through their written form. This study compared auditory and orthographic presentations…

Purpose: With the current COVID-19 outbreak, the majority of the higher educational institutes (HEI) are conducting online examinations to assess their students, where both teachers and students are facing various constraints. Under these circumstances, it is very important to understand the perspectives of teachers and students towards online…

Tablet-based technology has become a conduit for the administration of curriculum-based measurement (CBM) tools. Using tablets to administer CBM probes has many advantages; however, little is known about how students perform on CBMs when administered via a tablet. The current investigation compared digits correct per minute obtained from 44…

Background: The emergence of the COVID-19 and the resulting global pandemic has ushered in far-reaching changes for countries across the world, not least of which are changes to their education systems. With traditional location-based exams no longer possible at universities, the uptake of online proctored exams (OPE) has occurred at a pace not…

With the immense interest in ChatGPT worldwide, education has seen a mix of both excitement and skepticism. To properly evaluate its impact on education, it is crucial to understand how far it can help students without prior knowledge answer assessment questions. This study aims to address this question as well as the impact of the question type.…

The current study aimed to investigate the effectiveness of an online dynamic test in reading and writing, differentiating in typically developing children (n = 47) and children diagnosed with dyslexia (n = 30) aged between nine and twelve years. In doing so, it was analysed whether visual working memory, auditory working memory, inhibition,…

The implementation of online teaching and assessments was prompted by the current COVID-19 pandemic. Therefore, all universities had to adopt the distance-learning method as the only choice to continue education delivery. This study's main objective is to understand the effectiveness of assessment techniques followed through distance learning in…

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…