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Joseph B. Quinto; Manilyn R. Cacanindin – Advanced Education, 2024
Despite numerous studies about language learning strategies (LLSs), many learners still misunderstand their effectiveness, thinking they require too much effort for minimal gain. Additionally, students have varied and conflicting preferences for LLSs, and factors like cultural background influence their choices, indicating a need for more research…
Descriptors: Classification, Second Language Learning, Learning Strategies, Undergraduate Students
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Uyumaz, Gizem; Sirganci, Gözde – International Journal of Contemporary Educational Research, 2021
In this study, the assumption of the equality of psychological distance between categories of rating scale was tested based on the number of categories and ability distributions. Category parameters were estimated by using generalized partial credit model. The data sets based on the conditions of categories counts and ability distributions were…
Descriptors: Rating Scales, Classification, Reliability, Likert Scales
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Abel, Roman; Brunmair, Matthias; Weissgerber, Sophia Christin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Research on study sequences has not considered the cross-classification of to-be-learned categories. In two experiments, we utilized cross-classified exemplars, which simultaneously belonged to categories of two orthogonal dimensions. Experiment 1 addressed the question of how interleaving one category dimension while simultaneous blocking another…
Descriptors: Classification, Learning, Adults, College Students
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Bian, Lin; Cimpian, Andrei – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Language can be used to express broad, unquantified generalizations about both categories (e.g., "Dogs bark") and individuals (e.g., "Daisy barks"). Although these two classes of statements are commonly assumed to arise from the same linguistic phenomenon--"genericity"--the literature to date has not offered a direct…
Descriptors: Classification, Language Usage, Generalization, Undergraduate Students
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Nguyen, Mike Hoa; Ramirez, Joseph J.; Laderman, Sophia – Educational Researcher, 2023
Minority-serving institutions (MSIs) are unique in their ability to support the educational advancement of students of color. Approximately one in five postsecondary institutions are eligible for funding under an MSI designation, yet more than half of all undergraduate students of color are enrolled in such colleges and universities. However,…
Descriptors: Minority Serving Institutions, Institutional Characteristics, Definitions, Classification
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Aulet, Lauren S.; Lourenco, Stella F. – Developmental Science, 2023
Accumulating evidence suggests that there is a spontaneous preference for numerical, compared to non-numerical (e.g., cumulative surface area), information. However, given a paucity of research on the perception of non-numerical magnitudes, it is unclear whether this preference reflects a specific bias towards number, or a general bias towards the…
Descriptors: Number Concepts, Mathematics Skills, Discrimination Learning, Preferences
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Afzali, M. Usman; Jones, Richard D.; Seren-Grace, Alex P.; Palmer, Robin W.; Makarious, Dena; Rodrigues, Mariana N. B.; Neumann, Ewald – Applied Cognitive Psychology, 2023
Research on the accuracy of Brain Fingerprinting (BFP) has produced mixed outcomes: some report 99.9% and others report lower. Furthermore, no studies have measured the susceptibility of BFP to countermeasures. In Experiment-1, we report the accurate classification of 15 of the 16 subjects, tested on their own real-life autobiographical incidents;…
Descriptors: Classification, Accuracy, Diagnostic Tests, Brain Hemisphere Functions
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Briesch, Amy M.; Waldron, Felicia M.; Beneville, Margaret A. – School Mental Health, 2023
The special education eligibility category that has come to be most commonly associated with Attention-Deficit Hyperactivity Disorder (ADHD) in recent years is Other Health Impairment (OHI). However, the eligibility criteria for the OHI disability category have been criticized for being especially vague, given that the disability category…
Descriptors: Special Education, Eligibility, Attention Deficit Hyperactivity Disorder, Classification
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Fricke, Kristina; Reinisch, Bianca – Science & Education, 2023
Studies on the quality of nature of science (NOS) representations in school science textbooks report them being mostly of implicit manner and not fully adequate. However, the often underlying NOS framework of the consensus list in these studies is criticized as undifferentiated and inadequate. The family resemblance approach (FRA) to NOS shows…
Descriptors: Scientific Principles, Science Education, Philosophy, Textbooks
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Pearce, Sarah – Research in Comparative and International Education, 2023
Across the world, the international school sector is changing at a rapid pace, having an impact on all facets of international schools, from curriculum to clientele. This article describes an emerging concept from this sector that I have termed the internationally-national school, borne from the nationally affiliated schools that currently exist…
Descriptors: International Schools, Educational Development, Educational Change, Curriculum Implementation
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Marchant, Nicolás; Quillien, Tadeg; Chaigneau, Sergio E. – Cognitive Science, 2023
The causal view of categories assumes that categories are represented by features and their causal relations. To study the effect of causal knowledge on categorization, researchers have used Bayesian causal models. Within that framework, categorization may be viewed as dependent on a likelihood computation (i.e., the likelihood of an exemplar with…
Descriptors: Classification, Bayesian Statistics, Causal Models, Evaluation Methods
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Huang, Tao; Hu, Shengze; Yang, Huali; Geng, Jing; Liu, Sannyuya; Zhang, Hao; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…
Descriptors: Educational Technology, Prediction, Electronic Learning, Intelligent Tutoring Systems
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Erickson, Tim; Engel, Joachim – Teaching Statistics: An International Journal for Teachers, 2023
This volume is largely about nontraditional data; this paper is about a nontraditional visualization: classification trees. Using trees with data will be new to many students, so rather than beginning with a computer algorithm that produces optimal trees, we suggest that students first construct their own trees, one node at a time, to explore how…
Descriptors: Classification, Data Analysis, Visual Aids, Learning Activities
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Amane, Meryem; Aissaoui, Karima; Berrada, Mohammed – International Journal of Information and Learning Technology, 2023
Purpose: Together, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience. Design/methodology/approach: The development of LOs and…
Descriptors: Electronic Learning, Resource Units, Metadata, Algorithms
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Lu, Chia-Chen – International Journal of Technology and Design Education, 2023
The incongruity-resolution model plays a key role in the cognitive mechanisms of perceived humour. This study employed the incongruity-resolution model to discuss humorous design techniques to help design novices and students understand the influence of various humorous design techniques on perceived humour. First, 260 humorous products currently…
Descriptors: Humor, Design, Cognitive Processes, Graduate Students
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