To address needs in one US state to provide a professional development micro-credential for tens of thousands of educators, we automated an assignment scoring workflow in an online course by developing and refining an AI model to scan submitted assignments and score them against a rubric. This article outlines the AI model development process and…

A significant number of students experience anxiety when asked to speak in English. This unease, often rooted in factors such as shyness, lack of confidence, uncertainty, and a lack of motivation, can hinder their active participation during English oral exams. One of the most important goals that every English language teacher should strive to…

In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…

The shift to distance education during the COVID-19 pandemic highlighted the potential and preference of online learners for remote assessment. Yet, concerns about academic integrity, especially with tools like ChatGPT, prompted a reevaluation of remote evaluation methods. Universities responded by returning to on-campus exams or relying on…

Computer-based assessment (CBA) is a top-rated tool for conducting assessments, mapping learning outcomes, and selecting new candidates. Research that examines the development and use of CBA is also increasing from year to year, so without bibliometric analysis, it would be quite challenging to keep up with all of these studies. This study aims to…

The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…

In this paper, we investigated the impact of an online classroom-based reading assessment on implementing practices in reading instruction among 30 EFL learners in an intermediate reading course at a public university in East Java, Indonesia. Our study aimed to develop an online classroom-based reading assessment and evaluate its efficacy in…

This study explored learners' experience in an online problem-based learning (PBL) Moodle class. Additionally, an assessment of the PBL approach in enhancing collaborative learning was done to evaluate its effectiveness in eLearning. Lastly, the researchers make recommendations for an effective adoption of PBL in Moodle. To achieve this, an…

The advent of online learning in contemporary educational landscapes has established online examinations as key evaluative instruments. Despite their growing use, there remains a lack of scholarly inquiry into online examinations, academic integrity, and preventative measures against dishonesty. This research aims to explore the perceptions of 153…

Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…

Purpose: The evaluation of spelling performance in aphasia reveals deficits in written language and can facilitate the design of targeted writing treatments. Nevertheless, manual scoring of spelling performance is time-consuming, laborious, and error prone. We propose a novel method based on the use of distance metrics to automatically score…

Background: Current demand for multiple-choice questions (MCQs) in medical assessment is greater than the supply. Consequently, an urgency for new item development methods arises. Automatic Item Generation (AIG) promises to overcome this burden, generating calibrated items based on the work of computer algorithms. Despite the promising scenario,…

Learning gains associated with multiple-choice testing formats that provide immediate feedback (e.g., IFAT®) are often greater than those for typical single-choice delayed feedback formats (e.g. Scantron®). Immediate feedback formats also typically permit part marks unlike delayed feedback formats. The present study contrasted IFAT® with a new…

Owing to the COVID-19 pandemic, paper-based delivery of the National Benchmark Tests (NBTs) was not possible during the 2020 testing cycle. The NBTs, being a large-scale national assessment project, did not have alternative options, other than to offer the tests online. Moving these high-stakes tests online meant that certain considerations had to…

It remains unclear whether pragmatic language skills and core language skills (grammar and vocabulary) are distinct language domains. The present work aimed to tease apart these domains using a novel online assessment battery administered to almost 400 children aged 7 to 13 years. Confirmatory factor analysis indicated that pragmatic and core…