The National Assessment of Education Progress (NAEP) is the largest continuing and nationally representative assessment of what students know and can do in various subjects. NAEP serves a different role than state assessments. States have their own assessments that are designed to provide individual student data about achievement on different…

This study compares the four existing procedures handling the item selection in severely constrained computerized adaptive tests (CAT). These procedures include weighted deviation model (WDM), weighted penalty model (WPM), maximum priority index (MPI), and shadow test approach (STA). Severely constrained CAT refer to those adaptive tests seeking…

Drawing on duoethnography, the teacher researchers in the present study interacted with the relevant literature, engaged in dialogs, and shared artifacts to examine their knowledge, beliefs, and practices regarding fairness and justice considerations in technology-enhanced language classroom assessment. Under the domain of knowledge, they…

IELTS is used as a screening gatekeeper and plays a crucial role in Omani students to meet job requirements. This paper reports on Omani English-major undergraduate students' reflections on their experience of the reading section of Academic IELTS. The main aim of the study was to elucidate their difficulties and coping strategies to inform…

This paper provides a critical overview of the theoretical and practical questions that prevail in the teaching, learning, and assessment of learners from diverse linguistic backgrounds in Lesotho. It investigates how far exclusion of minority languages affects both assessment and/or educational development of learners whose mother tongue is not…

Scholars debate whether musical and linguistic abilities are associated or independent. In the present study, we examined whether musical rhythm skills predict receptive grammar proficiency in childhood. In Experiment 1, 7- to 17-year-old children (N = 68) were tested on their grammar and rhythm abilities. In the grammar-comprehension task,…

There is a need for developmentally appropriate Computational Thinking (CT) assessments that can be implemented in early childhood classrooms. We developed a new instrument called "TechCheck" for assessing CT skills in young children that does not require prior knowledge of computer programming. "TechCheck" is based on…

We conducted conceptual replications for an online-administered general outcome measure known as critical content monitoring in science. Totally, 547 Grades 4 to 6 students from a rural Louisiana school district participated. Research questions addressed criterion validity, diagnostic accuracy, growth, and social validity concerns. Criterion…

To increase individual and communal environmental health awareness through an experiential-education project. A computer-based pre- and postintervention quiz; an educational poster; an interactive board game; and a take-home information leaflet were utilized for a school learners-centered health promotion exhibit at a National Science Festival in…

IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…

As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…

At Saudi universities, there was a sudden shift from face-to-face instruction to distance learning and assessment in March 2020 due to the COVID-19 Pandemic. This study explored the status of online exams in language, linguistics, and translation courses in the first two semesters of the Pandemic (Spring 2020 and Fall 2020). Analysis of faculty…

The authors examined the big-fish-little-pond effect (BFLPE) on academic self-concept (ASC) using different indicators of academic ability (i.e., achievement test, cognitive ability test, grades corrected for grading-on-a-curve effects, uncorrected grades). They investigated under what circumstances grades are suitable indicators of academic…

A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…

Background: Student engagement is a cognitively complex domain that is often oversimplified in theory and practice. Reliance on a single model overlooks the sophisticated nature of student engagement and can lead to misconceptions and limited understandings that hinder teachers' ability to engage all of their students. Assessing varied models…