This convergent mixed-methods study investigated Australian teachers' perspectives on the computing competencies required for online National Assessment Program -- Literacy and Numeracy (NAPLAN). A total of 107 teachers completed surveys examining how socio-educational backgrounds and classroom practices shape students' readiness for high-stakes…

This research explored the effect of incentives to complete online quizzes during a course. When a 1% weighting incentive per quiz was removed, student engagement dropped dramatically. There is also evidence that students who continued to complete quizzes did so with less vigour, spending less time on each quiz, starting them later in the week and…

In this study, we applied natural language processing (NLP) techniques, within an educational environment, to evaluate their usefulness for automated assessment of students' conceptual understanding from their short answer responses. Assessing understanding provides insight into and feedback on students' conceptual understanding, which is often…

Purpose: The purpose of this case study is to share the authors' involvement and observation in adopting online exam as an evaluation tool, in the hope that others may too be able to adapt and circumvent this lockdown period while bringing a more reliable methodological approach in an online exam. Design/methodology/approach: This is a case study…

Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…

An essential question when computing test--retest and alternate forms reliability coefficients is how many days there should be between tests. This article uses data from reading and math computerized adaptive tests to explore how the number of days between tests impacts alternate forms reliability coefficients. Results suggest that the highest…

In automated essay scoring (AES), scores are automatically assigned to essays as an alternative to grading by humans. Traditional AES typically relies on handcrafted features, whereas recent studies have proposed AES models based on deep neural networks to obviate the need for feature engineering. Those AES models generally require training on a…

In modern times, the importance of education cannot be overstated. Beyond the acquisition of knowledge, perhaps the most important aim of education may be the development of character in individuals, including vitality, courage, sensitiveness, and intelligence, from which our society may experience increased prosperity, peace, and freedom. In this…

In recent years, growing interest is shown in Technology-aided formative assessment (TAFA) and language learning. Research has shed light on the experimentation and effectiveness of various TAFA tools, focusing on their pedagogical advantages in assisting the teaching of particular linguistic skills (reading, writing, spelling, etc.). Taking an…

The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…

Flipped blended learning (FBL) has become popular in translator training, requiring teachers to adapt their beliefs and attitudes towards blended learning to design and implement professional training programmes. This study investigates the effects of FBL on competence improvement in translation technology education. Using an action research…

To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…

This paper aims to address Digital Readiness in Higher Education Institutions from the perspective of data-informed and evidence-based assessment of Digital Readiness. Related research suggests that existing instruments for assessing digitalization aspects are limited to self-assessment, and there is a need for data-informed frameworks that will…

Assessment of attitudes towards statistics [ATS] is needed to support the success of statistics education in tertiary institutions, so measuring instruments with high accuracy is required. However, existing instruments to measure ATS have not considered the use of technology as an essential variable affecting success in statistics education. The…

This study compared traditional methods of college-level instruction, including lecture and class discussion followed by assessment via course content exams, with a variety of other instructional techniques. The intent was to evaluate whether more contemporary instructional techniques are significantly correlated with improved average exam scores…