To investigate the impact of universal testing accommodations on a computer-based reading comprehension test, accessibility, reliability, and validity were evaluated. Tests with and without accommodations were administered to 131 twelfth-grade students in three U.S. schools. Scores on Curriculum-Based Measurement probes determined groups of…

Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…

This action research aimed to enhance fluency thinking in the Year 9 Science and Technology course on Genetics by integrating bell ringer exams with inquiry-based learning. The study's objectives were to achieve an 80% pass rate in fluency thinking and to assess student satisfaction with this pedagogical approach. The sample comprised 20 Year 9…

This paper reports on a participatory case study investigating the total shift to an electronic assessment and electronic proctoring modality in a traditional higher education academic institution in Lebanon due to the COVID-19 pandemic. It describes the novel real-time electronic assessment and proctoring system developed by the University of…

Also known as The Nation's Report Card, the National Assessment of Educational Progress (NAEP) is the largest nationally representative and continuing assessment of student achievement and their learning experiences in various subjects for the nation, states, and 27 urban districts. The National Center for Education Statistics (NCES) is currently…

In this third and final manuscript from the Human Anatomy and Physiology Society (HAPS) 2022 Lab Survey we document the efforts of Human Anatomy and Physiology (A&P) educators in response to the COVID-19 global pandemic. Institutional, instructional, and student demographics, and laboratory activities and learning outcomes were the focus of…

The use of computers in educational assessment is a widely explored territory. Several studies have been performed to show the effectiveness of computer-assisted assessment (CAA) and it has been accepted in various education sectors. However, due to the lack of sufficient infrastructure and other issues, the paper-based examination is still being…

During this digital era, France, like many other countries, is undergoing a transition from paper-based assessments to digital assessments in education. There is a rising interest in technology-enhanced items which offer innovative ways to assess traditional competencies, as well as addressing problem solving skills, specifically in mathematics.…

The standard error (SE) stopping rule, which terminates a computer adaptive test (CAT) when the "SE" is less than a threshold, is effective when there are informative questions for all trait levels. However, in domains such as patient-reported outcomes, the items in a bank might all target one end of the trait continuum (e.g., negative…

Attitudes to sign languages or language policies are often not overtly discussed or recorded but they influence deaf young people's educational opportunities and outcomes. Two qualitative studies from Scotland investigate the provision of British Sign Language as accommodation in public examinations. The first explores the views of deaf pupils and…

So far, modeling approaches for not-reached items have considered one single underlying process. However, missing values at the end of a test can occur for a variety of reasons. On the one hand, examinees may not reach the end of a test due to time limits and lack of working speed. On the other hand, examinees may not attempt all items and quit…

In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…

While automated essay scoring (AES) can reliably grade essays at scale, automated writing evaluation (AWE) additionally provides formative feedback to guide essay revision. However, a neural AES typically does not provide useful feature representations for supporting AWE. This paper presents a method for linking AWE and neural AES, by extracting…

Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little…

Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…