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Zhou, Cherie; Lorist, Monicque M.; Mathôt, Sebastiaan – Cognitive Science, 2022
Recent studies on visual working memory (VWM) have shown that visual information can be stored in VWM as continuous (e.g., a specific shade of red) as well as categorical representations (e.g., the general category red). It has been widely assumed, yet never directly tested, that continuous representations require more VWM mental effort than…
Descriptors: Visual Perception, Short Term Memory, Classification, Motor Reactions
Sella-Weiss, Oshrat – International Journal of Language & Communication Disorders, 2022
Background: Texture-modified foods (TMF) is a common intervention for improving swallowing safety and efficiency for people with dysphagia. Non-standardized texture classification (NSTC) of foods is used worldwide. However, as this study documents, it can introduce a lack of clarity and confusion over definitions that can potentially harm…
Descriptors: Physical Disabilities, Eating Disorders, Human Body, Food Standards
Cai, Zhiqiang; Marquart, Cody; Shaffer, David W. – International Educational Data Mining Society, 2022
Regular expression (regex) coding has advantages for text analysis. Humans are often able to quickly construct intelligible coding rules with high precision. That is, researchers can identify words and word patterns that correctly classify examples of a particular concept. And, it is often easy to identify false positives and improve the regex…
Descriptors: Coding, Classification, Artificial Intelligence, Engineering Education
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
Yangna Hu; Cindy Sing Bik Ngai; Sihui Chen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study examines existing automatic screening methods for developmental language disorder (DLD), a neurodevelopmental language deficit without known biomedical etiologies, focusing on languages, data sets, extracted features, performance metrics, and classification methods. Additionally, it summarizes the strengths and weaknesses of…
Descriptors: Developmental Disabilities, Language Impairments, Automation, Screening Tests
Kwaku Adu-Gyamfi; Kayla Chandler; Anthony Thompson – School Science and Mathematics, 2025
The challenge posed by algebra story problems creates a significant hurdle for many students, transcending both the mathematical content of the problem and the specific instructional background received. This study offers a distinctive contribution to the existing literature by focusing on the cognitive conditions essential for comprehension in…
Descriptors: Algebra, Mathematics Instruction, Barriers, Cognitive Processes
Rivka Gadot; Dina Tsybulsky – Smart Learning Environments, 2025
Critical thinking (CT) consists of a deliberate and reflective process that can lead to informed decisions. It involves scrutinizing the trustworthiness and consistency of underlying assumptions, the sources of data, and the validity of other information. CT embodies deliberate, self-regulated judgment incorporating cognitive abilities such as…
Descriptors: Critical Thinking, Data Collection, Information Management, Decision Making Skills
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Elena M. Galeano Weber; Rebecca Aissa; Vera Moser; Marcus Hasselhorn – European Journal of Special Needs Education, 2025
An important aspect of current practice in special educational need (SEN) assessment is the review and allocation to a particular focus of support. This study examines how specific such classifications are at least in the German practice by analysing coded text information regarding children's characteristics as well as environmental conditions…
Descriptors: Special Needs Students, Classification, Student Characteristics, Physical Environment
Huiming Ding; Matt Homer – Advances in Health Sciences Education, 2025
Summative assessments are often underused for feedback, despite them being rich with data of students' applied knowledge and clinical and professional skills. To better inform teaching and student support, this study aims to gain insights from summative assessments through profiling students' performance patterns and identify those students…
Descriptors: Summative Evaluation, Profiles, Statistical Analysis, Outcomes of Education
Koen Suzelis; Gabriel Mott; John Curiel – Journal of Academic Ethics, 2025
Student evaluations of teaching (SET) act as the primary means to gauge instructor effectiveness. Likewise, SETs provide the primary qualitative feedback to instructors via student comments. However, mostly students with strong feelings tend to write comments. Among the most recallable are toxic comments: comments that are unhelpful/hurtful in…
Descriptors: Student Evaluation of Teacher Performance, Automation, Identification, Student Attitudes
Nikita Agarwal; Stella F. Lourenco – Social Development, 2025
When categorizing faces by gender, children show evidence of intersectionality--miscategorizing Black females, but not White females, as male. Here we examined whether differential biases for Black and White females extend beyond perceptual tasks to judgments of social preferences. Children (N = 97, ages 4-9 years; 59.8% White and 40.2% non-White)…
Descriptors: Childrens Attitudes, Decision Making, Social Cognition, Sex Stereotypes
Holmes Finch, W. – Educational and Psychological Measurement, 2021
Social scientists are frequently interested in identifying latent subgroups within the population, based on a set of observed variables. One of the more common tools for this purpose is latent class analysis (LCA), which models a scenario involving k finite and mutually exclusive classes within the population. An alternative approach to this…
Descriptors: Group Membership, Classification, Sample Size, Models
Ceylan, Hasan Can; Hardalaç, Naciye; Kara, Ali Can; Hardalaç Firat – World Journal of Education, 2021
Because the classification saves time in the learning process and enables this process to take place more easily, its contribution to music learning cannot be denied. One of the most valid and effective methods in music classification is music genre classification. Given the rapid progress of music production in the world and the significant…
Descriptors: Music, Classification, Automation, Music Education

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