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Peer reviewed
Direct linkRussell P. Houpt; Kevin J. Grimm; Aaron T. McLaughlin; Daryl R. Van Tongeren – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Numerous methods exist to determine the optimal number of classes when using latent profile analysis (LPA), but none are consistently correct. Recently, the likelihood incremental percentage per parameter (LI3P) was proposed as a model effect-size measure. To evaluate the LI3P more thoroughly, we simulated 50,000 datasets, manipulating factors…
Descriptors: Structural Equation Models, Profiles, Sample Size, Evaluation Methods
Yi Sun; Hongbiao Yin – Social Psychology of Education: An International Journal, 2024
Using Habermas's three human interests as a philosophical lens, a typology of emotion regulation was developed based on previous work. There are three theoretical perspectives on emotion regulation. The first perspective, "emotion regulation as steps," considers emotion regulation as an individual phenomenon and detachable entity. The…
Descriptors: Emotional Response, Self Control, Psychological Patterns, Educational Research
Andrew Jaciw – Society for Research on Educational Effectiveness, 2024
Background: Rooted in problems of social justice, intersectionality addresses intragroup differences in impacts and outcomes and the compound discrimination at specific intersections of classification (Crenshaw,1991). It stresses that deficits/debts in outcomes often occur non-additively; for example, discriminatory hiring practices can be…
Descriptors: Intersectionality, Classification, Randomized Controlled Trials, Factor Analysis
Download full textAlessandro Rosborough; Lauren E. Johnson; Jennifer J. Wimmer – Language Teaching Research Quarterly, 2024
This conceptual paper deals with ways in which gesture or embodied utterances create deictic expressions (i.e., deixis) that are relevant to second language teaching and learning. While many gesture types have been found to be material carriers of meaning (McNeill, 1992; Vygotsky, 1986), deictics have the ability and function to create new…
Descriptors: Second Language Learning, Nonverbal Communication, Semantics, Communication Skills
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
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
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
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
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
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
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
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
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
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
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
