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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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Russell 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
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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
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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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Anagha Ani; Ean Teng Khor – Education and Information Technologies, 2024
Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…
Descriptors: MOOCs, Classification, Artificial Intelligence, Prediction
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Katherine Herbert; Luke van der Laan – Professional Development in Education, 2024
The interest in Professional Development (PD) in learning and teaching in Higher Education (HE) has seen an increase in the last few years owing to the evolving role of HE teaching academics in the futures of students and their employment. In Australia, while there is evidence that research in learning and teaching PD is growing, these studies…
Descriptors: Faculty Development, Higher Education, Foreign Countries, Universities
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Vahid Roshanaei; Bahman Naderi; Opher Baron; Dmitry Krass – INFORMS Transactions on Education, 2024
We present an interactive spreadsheet that supports teaching essential concepts in classification using the logistic regression (LoR) model for binary classification. The interactive spreadsheet demonstrates the capabilities of LoR by integrating computation with visualization. Students will reinforce concepts like probabilities, maximum…
Descriptors: Spreadsheets, Interaction, Classification, Computation
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Joanne Caldwell – Journal of Higher Education Policy and Management, 2024
This study explores the nomenclature surrounding professional services staff within higher education in the UK. Taking a case study method, it uses a qualitative approach to understand the term 'non-academic' to describe the diverse range of professional services roles. Both professional services and academic staff were interviewed and there is a…
Descriptors: Higher Education, Foreign Countries, College Administration, Professional Services
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Wang, Yan; Kim, Eunsook; Yi, Zhiyao – Educational and Psychological Measurement, 2022
Latent profile analysis (LPA) identifies heterogeneous subgroups based on continuous indicators that represent different dimensions. It is a common practice to measure each dimension using items, create composite or factor scores for each dimension, and use these scores as indicators of profiles in LPA. In this case, measurement models for…
Descriptors: Robustness (Statistics), Profiles, Statistical Analysis, Classification
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Christensen, Rhonda; Hodges, Charles B.; Spector, J. Michael – Technology, Knowledge and Learning, 2022
Replicating research studies is considered one way of establishing validity and confidence of findings in a field of study. In this paper, we introduce a replication framework for classifying studies conducted in the area of educational technology as a possible guide to conducting and reporting replication studies in the field. The paper includes…
Descriptors: Educational Technology, Educational Research, Classification, Replication (Evaluation)
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Chen, Guodong; Zhao, Qixun; Rong, Pan; Li, Zuting; Bei, Kong – International Journal of Technology and Design Education, 2023
Industrial design (ID) education involves students with different cognition types. This study aims to explore and compare the design activities of problem-driven and solution-driven students and examine the stability of the design process of the two classifications regarding constraints. Based on the P-S index derived from…
Descriptors: Design, Cognitive Processes, Problem Solving, Industrial Arts
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Bauman, Isabelle – Communication Teacher, 2023
Courses: Communication Theory; Research Methods; Mass Communication Theory. Objectives: This activity introduces students to the socially constructed nature of theorizing through having a few students sort a bag of random items in ways of their choice. The class then discusses the categories of sorted items in terms of their properties as theories…
Descriptors: Communication (Thought Transfer), Teaching Methods, Classification, Class Activities
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Gonzalez, Oscar – Educational and Psychological Measurement, 2023
When scores are used to make decisions about respondents, it is of interest to estimate classification accuracy (CA), the probability of making a correct decision, and classification consistency (CC), the probability of making the same decision across two parallel administrations of the measure. Model-based estimates of CA and CC computed from the…
Descriptors: Classification, Accuracy, Intervals, Probability
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Sotoudeh, Ramina; DiMaggio, Paul – Sociological Methods & Research, 2023
Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…
Descriptors: Algorithms, Simulation, Prediction, Correlation
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