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Emilia Hawkey; Matthew A. Palmer; Nenagh Kemp – Child Development, 2025
Learning to capitalize in English requires identifying a word's type and sentence position. In two cloze studies (2021-2022), Australian students of all genders (95% White, monolingual) spelled words with one and two capitalization cues (proper nouns, sentence-initial words) and no-cue control words. High school (12-18 years, n = 59) and…
Descriptors: High School Students, College Students, Elementary School Students, Writing Skills
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Hyeryung Lee; Walter P. Vispoel – Journal of Educational Measurement, 2025
Traditional methods for detecting cheating on assessments tend to focus on either identifying cheaters or compromised items in isolation, overlooking their interconnection. In this study, we present a novel biclustering approach that simultaneously detects both cheaters and compromised items by identifying coherent subgroups of examinees and items…
Descriptors: Identification, Cheating, Test Wiseness, Test Items
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Abdullah Alrubaian – Education and Information Technologies, 2025
As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…
Descriptors: Artificial Intelligence, Accuracy, Models, Dyslexia
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Hamlin, Iain; Bolger, Fergus; Vasilichi, Alexandrina; Belton, Ian; Crawford, Megan M.; Sissons, Aileen; Taylor Browne Luka, Courtney; Wright, George – Applied Cognitive Psychology, 2021
Groups often make better judgements than individuals, and recent research suggests that this phenomenon extends to the deception detection domain. The present research investigated whether the influence of groups enhances the accuracy of judgements, and whether group size influences deception detection accuracy. Two-hundred fifty participants…
Descriptors: Accuracy, Evaluative Thinking, Deception, Groups
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Mac Giolla, Erik; Luke, Timothy J. – Applied Cognitive Psychology, 2021
The current meta-analysis examines the cognitive approach to lie detection. Our goal was to assess the practical utility of this approach by examining whether it improves the lie detection ability of human observers. The cognitive approach to lie detection led to an average accuracy rate of 60.00%, 95% CI [56.42; 63.53] and a bias corrected…
Descriptors: Deception, Identification, Observation, Accuracy
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DeCarlo, Lawrence T.; Zhou, Xiaoliang – Journal of Educational Measurement, 2021
In signal detection rater models for constructed response (CR) scoring, it is assumed that raters discriminate equally well between different latent classes defined by the scoring rubric. An extended model that relaxes this assumption is introduced; the model recognizes that a rater may not discriminate equally well between some of the scoring…
Descriptors: Scoring, Models, Bias, Perception
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Ünal, Ercenur; Richards, Catherine; Trueswell, John C.; Papafragou, Anna – Developmental Science, 2021
Although it is widely assumed that the linguistic description of events is based on a structured representation of event components at the perceptual/conceptual level, little empirical work has tested this assumption directly. Here, we test the connection between language and perception/cognition cross-linguistically, focusing on the relative…
Descriptors: Preschool Children, Language, Perception, English
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Sarah Fishstrom; Philip Capin; Anna-Mari Fall; Gregory Roberts; Amie E. Grills; Sharon Vaughn – Annals of Dyslexia, 2024
This study examined the relations between reading anxiety, general anxiety, and test anxiety in a sample of students with reading difficulties (n = 536). It also tested if dimensions of anxiety were differentially related to word reading accuracy and fluency, text reading fluency, or reading comprehension. The results indicated that the three…
Descriptors: Elementary School Students, Reading Difficulties, Anxiety, Reading
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Carin H. Wiefferink; Conja Adriaanse; Margot van Denderen; Carla van Schie; Noëlle N. Uilenburg – Infants and Young Children, 2024
Despite the importance of identifying children with developmental language delay, no accurate screening instruments are available for 3-year-olds. The aim of the present study is to compare the accuracy of the General Language Screen (GLS), focusing on receptive and expressive language and intelligibility with the accuracy of the VTO Language…
Descriptors: Identification, Delayed Speech, Expressive Language, Preschool Children
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Michelle M. Haby; Jorge Otávio Maia Barreto; Jenny Yeon Hee Kim; Sasha Peiris; Cristián Mansilla; Marcela Torres; Diego Emmanuel Guerrero-Magaña; Ludovic Reveiz – Research Synthesis Methods, 2024
Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different methodological shortcuts for undertaking rapid reviews on the risk of bias (RoB) of the results of the review.…
Descriptors: Decision Making, Medical Research, Research Reports, Search Strategies
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Corrine Occhino; Ryan Lidster; Leah C. Geer; Jason Listman; Peter C. Hauser – Language Testing, 2024
We describe the development and initial validation of the "ASL Fingerspelling and Number Comprehension Test" (ASL FaN-CT), a test of recognition proficiency for fingerspelled words in American Sign Language (ASL). Despite the relative frequency of fingerspelling in ASL discourse, learners commonly struggle to produce and perceive…
Descriptors: Language Tests, Test Construction, Finger Spelling, Test Validity
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Xiaona Xia; Tianjiao Wang – Asia-Pacific Education Researcher, 2024
The artificial intelligence methods might be applied to see through the education problems, and make effective prediction and decision. The transformation from data to decision are inseparable from the learning analytics. In order to solve the dynamic multi-objective decision problems, a decision learning algorithm is designed to analyze the…
Descriptors: Learning, Behavior, Achievement, Learning Analytics
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Heng Zhang; Minhong Wang – Knowledge Management & E-Learning, 2024
With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…
Descriptors: Artificial Intelligence, Models, Recognition (Psychology), Nonverbal Communication
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Hillary E. Merzdorf; Donna Jaison; Morgan B. Weaver; Julie Linsey; Tracy Hammond; Kerrie A. Douglas – Journal of Engineering Education, 2024
Background: Sketching exists in many disciplines and varies in how it is assessed, making it challenging to define fundamental sketching skills and the characteristics of a high-quality sketch. For instructors to apply effective strategies for teaching and assessing engineering sketching, a clear summary of the constructs, metrics, and objectives…
Descriptors: Freehand Drawing, Engineering Education, Educational Research, Design
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Lóa Björk Jóelsdóttir; Paul Andrews – European Journal of Psychology of Education, 2024
In this paper, the multidigit arithmetic-related strategy adaptivity, strategy flexibility and solution accuracy of Danish compulsory school students is examined. Participants, 749 grade three, 731 grade six and 818 grade eight, were drawn from twenty demographically different schools. Drawing on a tri-phase assessment tool, each student completed…
Descriptors: Foreign Countries, Grade 3, Grade 6, Grade 8
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