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Uk Hyun Cho – ProQuest LLC, 2024
The present study investigates the influence of multidimensionality on linking and equating in a unidimensional IRT. Two hypothetical multidimensional scenarios are explored under a nonequivalent group common-item equating design. The first scenario examines test forms designed to measure multiple constructs, while the second scenario examines a…
Descriptors: Item Response Theory, Classification, Correlation, Test Format
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Susan Smith; Neil Sutherland; David Allen – Teaching in Higher Education, 2024
Higher education systems exhibit varying degrees of heterogeneity in approaches to undergraduate degree classification -- specifically for this Point of Departure: the wide variety of 'Degree Classification Algorithms' (DCAs) used to calculate students' final awards. To date, the impact of DCA variation remains an under-researched 'black box', and…
Descriptors: Academic Degrees, Classification, Algorithms, Higher Education
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Yasuko Kanno; Cecilia Rios-Aguilar; George C. Bunch – TESOL Journal, 2024
In this essay, the authors explore the dilemmas facing researchers, educators, and policymakers in how to refer to multilingual students who are deemed in need of language support in school. There is a growing concern with the label "English learner," the term currently used in U.S. federal legislation, as focusing exclusively on…
Descriptors: Multilingualism, Bilingual Students, Labeling (of Persons), English Language Learners
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Kang, Yewon; Ha, Hyorim; Lee, Hee Seung – Educational Psychology Review, 2023
Natural category learning is important in science education. One strategy that has been empirically supported for enhancing category learning is testing, which facilitates not only the learning of previously studied information (backward testing effect) but also the learning of newly studied information (forward testing effect). However, in…
Descriptors: Science Education, Science Tests, Testing, Classification
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Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
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Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
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Serra Undurraga, Jacqueline Karen Andrea – International Journal of Qualitative Studies in Education (QSE), 2023
Diffraction has emerged as a concept and methodology through opposing reflexivity. In this paper, I argue that reflexivity and diffraction are not external to each other. In contrast, I propose that they blur into each other and so we do not find ourselves using pure reflexivity or diffraction. Furthermore, I contend that categorically…
Descriptors: Reflection, Epistemology, Classification, Interaction
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Laxton, Victoria; Howard, Christina J.; Guest, Duncan; Crundall, David – Applied Cognitive Psychology, 2023
Lifeguards engage in a continuous process of deciding whether swimmers are in danger or not. The variety of behaviours that distressed swimmers show makes it difficult to impart declarative knowledge to this effect during lifeguard training. As an alternative, we propose a novel training tool that requires novice participants to rapidly categorise…
Descriptors: Classification, Aquatic Sports, Safety, Behavior
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Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Artificial Intelligence in Education, 2023
This paper investigates using multi-label deep learning approach to extending the understanding of cognitive presence in MOOC discussions. Previous studies demonstrate the challenges of subjectivity in manual categorisation methods. Training automatic single-label classifiers may preserve this subjectivity. Using a triangulation approach, we…
Descriptors: Classification, MOOCs, Artificial Intelligence, Intelligent Tutoring Systems
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Mengfei Zhao; Dongjie Jiang; Jun Wang – Cognitive Science, 2025
Previous research suggests that statistical learning enhances memory for self-related information at the individual level and that individuals exhibit better memory for partner-related items than they do for irrelevant items in joint contexts (i.e., the joint memory effect, JME). However, whether statistical learning improves memory for…
Descriptors: Memory, Task Analysis, Classification, Chinese
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Hanshu Zhang; Ran Zhou; Cheng-You Cheng; Sheng-Hsu Huang; Ming-Hui Cheng; Cheng-Ta Yang – Cognitive Research: Principles and Implications, 2025
Although it is commonly believed that automation aids human decision-making, conflicting evidence raises questions about whether individuals would gain greater advantages from automation in difficult tasks. Our study examines the combined influence of task difficulty and automation reliability on aided decision-making. We assessed decision…
Descriptors: Task Analysis, Difficulty Level, Decision Making, Automation
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Frances Howard; Anne Mette Winneche Nielsen – International Journal of Art & Design Education, 2025
Youth arts programmes give young people access to different kinds of art skills, social networks and professional standard opportunities. This article explores a typology of youth arts from across five programmes in Denmark and England, examining through observations and interviews with staff and young people what kind of arts practices are…
Descriptors: Foreign Countries, Youth Programs, Art Education, Classification
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Naja Ferjan Ramírez; Aeddan Claflin – Developmental Science, 2025
Parental language input is a key predictor of child language achievement. Parentese is a widely used style of child-directed speech (CDS) distinguished by a higher pitch and larger pitch range. A recent parent coaching randomized control trial (Parentese-RCT) demonstrated that English-speaking US parents who were coached to use parentese with…
Descriptors: Child Language, Speech Communication, Linguistic Input, Parent Child Relationship
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Justine Hamilton; McKay Moore Sohlberg; Lyn Turkstra – International Journal of Language & Communication Disorders, 2024
Background: Cognitive rehabilitation is a complex and specialized area of practice, as it aims to support individuals with diverse neuropsychological profiles, personal characteristics, and intersectionalities in achieving meaningful, functional change in personally relevant aspects of their everyday lives. In many ways, cognitive rehabilitation…
Descriptors: Rehabilitation, Cognitive Processes, Classification, Models
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