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Ling, Guangming; Williams, Jean; O'Brien, Sue; Cavalie, Carlos F. – ETS Research Report Series, 2022
Recognizing the appealing features of a tablet (e.g., an iPad), including size, mobility, touch screen display, and virtual keyboard, more educational professionals are moving away from larger laptop and desktop computers and turning to the iPad for their daily work, such as reading and writing. Following the results of a recent survey of…
Descriptors: Tablet Computers, Computers, Essays, Scoring
Tsirgiotis, Joanna M.; Young, Robyn L.; Weber, Nathan – Journal of Autism and Developmental Disorders, 2022
Growing evidence suggests that autistic females are more likely to be diagnostically overlooked than males, perhaps due to differences in ASD presentations (van Wijngaarden-Cremers in JAMA 44:627-635, 2014). To investigate specific behaviours in which differences lie, we analysed profiles of 777 children using the Childhood Autism Rating Scale…
Descriptors: Gender Differences, Autism, Pervasive Developmental Disorders, Rating Scales
Guerreiro, Meg; Barker, Elizabeth; Johnson, Janice – Practical Assessment, Research & Evaluation, 2022
Reading comprehension is measured differently between classroom and more formal approaches to assessment. Traditional reading comprehension assessments often prompt students to read a multi-paragraph passage prior to displaying a set of questions that are related to the passage; however, this approach is not utilized during classroom practices.…
Descriptors: Reading Comprehension, Accuracy, Reading Tests, Measurement
Heckman, James J.; Zhou, Jin – National Bureau of Economic Research, 2022
Empirical studies in the economics of education, the measurement of skill gaps, the impacts of interventions on skill formation, and the value-added literature rely on psychometrically validated test scores. Test scores are taken as measures of an invariant scale of human capital compared over time and people. We examine if conventional skill…
Descriptors: Scores, Mastery Learning, Measures (Individuals), Testing
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Grantee Submission, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Annals of Dyslexia, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
Sarah Stopforth; Vernon Gayle – British Journal of Sociology of Education, 2025
This study investigates the relationship between parental social class and young people's school examinations in England. This study uses a specialist data resource from the UK Household Longitudinal Study (Understanding Society) and linked administrative data from the National Pupil Database. The main aims are to better understand the effects of…
Descriptors: Foreign Countries, Parent Background, Exit Examinations, Elementary School Students
Kelsey Medeiros; David H. Cropley; Rebecca L. Marrone; Roni Reiter-Palmon – Journal of Creative Behavior, 2025
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…
Descriptors: Man Machine Systems, Creativity, Artificial Intelligence, Models
Nils Myszkowski; Martin Storme – Journal of Creative Behavior, 2025
In the PISA 2022 creative thinking test, students provide a response to a prompt, which is then coded by human raters as no credit, partial credit, or full credit. Like many large-scale educational testing frameworks, PISA uses the generalized partial credit model (GPCM) as a response model for these ordinal ratings. In this paper, we show that…
Descriptors: Creative Thinking, Creativity Tests, Scores, Prompting
Paul T. Sowden; Frances Warren; Marnie Seymour; Clare Martin; Anna Kauer; Ellen Spencer; Sandra Mansfield; Judy Waite – Journal of Creative Behavior, 2025
While creativity has traditionally been linked to arts education, the importance of developing the ability to think creatively across the school curriculum has grown in prominence (James et al. 2019), reflected by its inclusion in OECD PISA 2022 for the first time (OECD, 2024). Creativity enables learners to thrive in a rapidly evolving workplace,…
Descriptors: Creativity, Teaching Methods, Creative Thinking, Metacognition
Tong Wu; Stella Y. Kim; Carl Westine; Michelle Boyer – Journal of Educational Measurement, 2025
While significant attention has been given to test equating to ensure score comparability, limited research has explored equating methods for rater-mediated assessments, where human raters inherently introduce error. If not properly addressed, these errors can undermine score interchangeability and test validity. This study proposes an equating…
Descriptors: Item Response Theory, Evaluators, Error of Measurement, Test Validity
Joshua Anbar; Maurice Metoyer; Christopher J. Smith; Nicole L. Matthews – Journal of Autism and Developmental Disorders, 2025
Purpose: Most assessment tools used to diagnose and characterize autism spectrum disorder (ASD) were developed for in-person administration. The coronavirus disease 2019 (COVID-19) pandemic resulted in the need to adapt traditional assessment tools for online administration with only minimal evidence to support validity of such practices. Methods:…
Descriptors: Intelligence Tests, Autism Spectrum Disorders, Scores, Computer Assisted Testing
Seyma Özdemir; Cemal Tosun – Education and Information Technologies, 2025
The aim of this study was to determine the visual measurement results related to the behavior/processes of solving skill-based science questions of eighth grade students by eye tracking technique. Non-experimental quantitative research method was used in the research and visual measurement results were supported by heat maps and eye splash…
Descriptors: Grade 8, Eye Movements, Problem Solving, Science Education
Suzanna Dooley; Tammy Hopper; Rachael Doyle; Orla Gilheaney; Margaret Walshe – International Journal of Language & Communication Disorders, 2025
Background: Individuals with dementia have communication limitations resulting from cognitive impairments that define the syndrome. Whereas there are numerous cognitive assessments for individuals with dementia, there are far fewer communication assessments. The Profiling Communication Ability in Dementia (P-CAD) was developed to address this gap.…
Descriptors: Communication Skills, Communication Problems, Dementia, Intellectual Disability
Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students

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