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Martin Zettersten; Catherine Bredemann; Megan Kaul; Kaitlynn Ellis; Haley A. Vlach; Heather Kirkorian; Gary Lupyan – Child Development, 2024
The present study tested the hypothesis that verbal labels support category induction by providing compact hypotheses. Ninety-seven 4- to 6-year-old children (M = 63.2 months; 46 female, 51 male; 77% White, 8% more than one race, 4% Asian, and 3% Black; tested 2018) and 90 adults (M = 20.1 years; 70 female, 20 male) in the Midwestern United States…
Descriptors: Children, Adults, Difficulty Level, Novelty (Stimulus Dimension)
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
Abdennabi Lakrim; Mohamed Chergui; Bouazza El Wahbi – Journal of Education and Learning (EduLearn), 2025
This study is a contribution to efforts to promote practices for dealing with the difficulties encountered by learners in probabilistic modeling situations. We attempt to elucidate as precisely as possible the types of difficulties that secondary school students face in the process of modeling with probability tools. By referring to a large and…
Descriptors: Probability, Difficulty Level, Correlation, Classification
Rosedahl, Luke A.; Ashby, F. Gregory – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…
Descriptors: Classification, Learning, College Students, Difficulty Level
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
Efeoglu, Ebru; Tuna, Ayse – Journal of Learning and Teaching in Digital Age, 2023
Usage of complex words causes significant problems not only in reading but in writing as well and eventually leads to poor academic achievement of students, poorer particularly for hearing impaired children. The dual diagnosis of Autism Spectrum Disorder (ASD) and hearing impairment pose additional challenges mainly due to the difficulties that…
Descriptors: Language Acquisition, Vocabulary Development, English, Autism Spectrum Disorders
Vigo, Ronaldo; Doan, Charles A.; Zhao, Li – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The quest for determining the degree of learning difficulty associated with different types of categories has been instrumental in our understanding of human categorization behavior and, more broadly, human generalization. For instance, we now know that the topological nature of the dimensions (e.g., whether these are integral or separable) that…
Descriptors: Discrimination Learning, Classification, Learning Processes, Difficulty Level
Gerardo Ibarra-Vazquez; María Soledad Ramírez-Montoya; Hugo Terashima – Education and Information Technologies, 2024
This article aims to study machine learning models to determine their performance in classifying students by gender based on their perception of complex thinking competency. Data were collected from a convenience sample of 605 students from a private university in Mexico with the eComplexity instrument. In this study, we consider the following…
Descriptors: Foreign Countries, College Students, Private Colleges, Gender Bias
Thomas Clough Daffern – Teaching Theology & Religion, 2024
This paper introduces the reader to the "Periodic Table of the World's Religious and Philosophical Traditions" (PTWRPT). It summarizes its background history, the conceptual thinking that underlies it, and explains why and how it was created. Using the same thinking that underlies Mendeleyev's Periodic Table of the Elements, it sets out…
Descriptors: Religion, Philosophy, Folk Culture, Visual Aids
de Gamboa, Genaro; Badillo, Edelmira; Font, Vicenç – Canadian Journal of Science, Mathematics and Technology Education, 2023
The making of mathematical connections in the classroom plays a dual role. While many studies highlight the importance of connections for the learning of mathematics, others inform of students' difficulties associated with the making of connections. This study aims to characterise the mathematical connections that arise in habitual classroom…
Descriptors: Mathematics Instruction, Classroom Techniques, Teaching Methods, Teacher Student Relationship
Fenwick, Lisl; Unsworth, Len – Curriculum Journal, 2023
This paper analyses the opportunities for presenting knowledge that are created when assessment allows senior high school biology students to draw on linguistic and visual resources when constructing meaning in response to short-answer examination-style questions requiring a sequential explanation. Students within one senior high school biology…
Descriptors: High School Seniors, Biology, Evaluation, Visual Stimuli
Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
Cronin, Sean D. – ProQuest LLC, 2023
This convergent, parallel, mixed-methods study with qualitative and quantitative content analysis methods was conducted to identify what type of thinking is required by the College and Career Readiness Assessment (CCRA+) by (a) determining the frequency and percentage of questions categorized as higher-level thinking within each cell of Hess'…
Descriptors: Cues, College Readiness, Career Readiness, Test Items
Das, Syaamantak; Mandal, Shyamal Kumar Das; Basu, Anupam – Contemporary Educational Technology, 2020
Cognitive learning complexity identification of assessment questions is an essential task in the domain of education, as it helps both the teacher and the learner to discover the thinking process required to answer a given question. Bloom's Taxonomy cognitive levels are considered as a benchmark standard for the classification of cognitive…
Descriptors: Classification, Difficulty Level, Test Items, Identification
Yoo Jeong Jang – ProQuest LLC, 2022
Despite the increasing demand for diagnostic information, observed subscores have been often reported to lack adequate psychometric qualities such as reliability, distinctiveness, and validity. Therefore, several statistical techniques based on CTT and IRT frameworks have been proposed to improve the quality of subscores. More recently, DCM has…
Descriptors: Classification, Accuracy, Item Response Theory, Correlation

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