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Chen, Stephanie Y.; Ross, Brian H.; Murphy, Gregory L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Category information is used to predict properties of new category members. When categorization is uncertain, people often rely on only one, most likely category to make predictions. Yet studies of perception and action often conclude that people combine multiple sources of information near-optimally. We present a perception-action analog of…
Descriptors: Eye Movements, Classification, Logical Thinking, Prediction
Donovan, Deirdre W. – ProQuest LLC, 2016
As our society has become increasingly data dependent, statistics education has emerged as a field of study. Research has focused on statistics course content outcomes, showing most students struggle with statistical concepts, including variation and the standard deviation. Variation is a foundational concept in statistics. Without a firm grasp of…
Descriptors: Statistics, College Mathematics, Introductory Courses, Logical Thinking
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Hartman, Christie-Joy Brodrick; DeMars, Christine E.; Griscom, Heather Peckham; Butner, Harold Martin – International Journal of Sustainability in Higher Education, 2017
Purpose: The purpose of this paper is to present a public university's design and implementation of an assessment approach that measures the change in undergraduate students' environmental stewardship reasoning and knowledge abilities over time. Design/methodology/approach: In support of a university's strategic emphasis on environmental…
Descriptors: Undergraduate Students, Logical Thinking, Knowledge Level, Student Evaluation
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Fishman, Evan J.; Husman, Jenefer – Journal of Educational Psychology, 2017
Research in attribution theory has shown that students' causal thinking profoundly affects their learning and motivational outcomes. Very few studies, however, have explored how students' attribution-related beliefs influence the causal thought process. The present study used the perceived control of the attribution process (PCAP) model to examine…
Descriptors: Attribution Theory, Motivation, Student Attitudes, Beliefs
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Lira, Matthew E.; Gardner, Stephanie M. – Advances in Physiology Education, 2017
Physiology demands systems thinking: reasoning within and between levels of biological organization and across different organ systems. Many physiological mechanisms explain how structures and their properties interact at one level of organization to produce emergent functions at a higher level of organization. Current physiology principles, such…
Descriptors: Physiology, Systems Approach, Undergraduate Students, Science Instruction
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Mukan, Nataliya; Fuchyla, Olena; Ihnatiuk, Halyna – Comparative Professional Pedagogy, 2017
The article dwells on professional development of public school teachers as an inevitable constituent of education systems in the 21st century. In such economically developed countries as Great Britain, Canada and the USA, the problem of preparing teachers to a difficult and responsible task of upbringing and educating future citizens always…
Descriptors: Constructivism (Learning), Comparative Education, Faculty Development, Foreign Countries
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Albayrak, Mustafa; Yazici, Nurullah; Simsek, Mertkan – Higher Education Studies, 2017
Considering that Mathematics is a multidimensional problem-solving method that can be effective in all areas of cultural life, it is of great importance because of its contribution to other sciences such as physical and social sciences. It is known that the basic concepts of mathematics, which can also be expressed as a way of life, have helped to…
Descriptors: Mathematics, Mathematical Concepts, Case Studies, Logical Thinking
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Mostafavi, Behrooz; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2017
Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent,…
Descriptors: Artificial Intelligence, Problem Solving, Educational Technology, Technology Uses in Education
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Kaur, Tejinder; Blair, David; Moschilla, John; Zadnik, Marjan – Physics Education, 2017
The Einstein-First project approaches the teaching of Einsteinian physics through the use of physical models and analogies. This paper presents an approach to the teaching of quantum physics which begins by emphasising the particle-nature of light through the use of toy projectiles to represent photons. This allows key concepts including the…
Descriptors: Science Instruction, Physics, Scientific Principles, Probability
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Nikiforidou, Zoi – Contemporary Issues in Early Childhood, 2017
Taking risks and enjoying challenges are fundamental to the lives of young children from a developmental and evolutionary point of view. However, in modern societies, increasing concern about dangers and injuries has led to the escalation in regulation and provisions for the safety of young children. This intent to establish secure and risk-free…
Descriptors: Risk, Early Childhood Education, Young Children, Instruction
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Tucker, Basil P. – Accounting Education, 2017
One of the foundational subjects comprising most Master of Business Administration (MBA) programs is an introductory accounting course, in which students are exposed to the study of financial and management accounting at a basic level. For many students accounting is arguably the most feared subject in the MBA program. Although some students…
Descriptors: Accounting, Graduate Students, Masters Programs, Introductory Courses
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Jelicic, Katarina; Planinic, Maja; Planinsic, Gorazd – Physical Review Physics Education Research, 2017
Electromagnetic induction is an important, yet complex, physics topic that is a part of Croatian high school curriculum. Nine Croatian high school students of different abilities in physics were interviewed using six demonstration experiments from electromagnetism (three of them concerned the topic of electromagnetic induction). Students were…
Descriptors: High School Students, Logical Thinking, Physics, Secondary School Science
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Guzman-Munoz, Francisco Javier – Educational Psychology, 2017
Mixing examples of different categories (interleaving) has been shown to promote inductive learning as compared with presenting examples of the same category together (massing). In three studies, we tested whether the advantage of interleaving is exclusively due to the mixing of examples from different categories or to the temporal gap introduced…
Descriptors: Classification, Comparative Analysis, Logical Thinking, Learning
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Tanggaard, Lene; Hjorth, Rasmus – Creativity Theory and Action in Education, 2017
This paper draws on a recent study of teaching experiments in a Danish gymnasium (upper secondary school) context. The aim of the study was to afford students time to devise creative solutions to specific problems in each subject area. For the purposes of the study, abductive reasoning, applied to ordinary subjects in the classroom in a high…
Descriptors: Logical Thinking, Creativity, Creative Thinking, Teaching Methods
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Rich, Kathryn M.; Yadov, Aman; Zhu, Marissa – Journal of Computers in Mathematics and Science Teaching, 2019
Moving among levels of abstraction is an important skill in mathematics and computer science, and students show similar difficulties when applying abstraction in each discipline. While computer science educators have examined ways to explicitly teach students how to consciously navigate levels of abstraction, these ideas have not been explored in…
Descriptors: Mathematics Instruction, Computer Science Education, Elementary School Mathematics, Elementary School Students
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