Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Higher Education | 19 |
| Intuition | 19 |
| Problem Solving | 19 |
| College Students | 6 |
| Cognitive Processes | 5 |
| Models | 5 |
| Science Education | 5 |
| Mathematics Education | 4 |
| Teaching Methods | 4 |
| Thinking Skills | 4 |
| Critical Thinking | 3 |
| More ▼ | |
Source
Author
| Ash, Ivan K. | 1 |
| Berjano, E. | 1 |
| Bowers, Kenneth S. | 1 |
| Cahala, Cara | 1 |
| Clement, John | 1 |
| Coyle-Rogers, Patricia G. | 1 |
| De Corte, Erik | 1 |
| DeLisi, Richard | 1 |
| Firstenberg, Iris R. | 1 |
| Font, Vicenc | 1 |
| Gallagher, Ann M. | 1 |
| More ▼ | |
Publication Type
Education Level
| Higher Education | 4 |
| Postsecondary Education | 2 |
Audience
| Researchers | 4 |
| Practitioners | 2 |
| Teachers | 1 |
Location
| Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
Tidikis, Viktoria; Ash, Ivan K. – Creativity Research Journal, 2013
This study investigated the effects of working in dyads and their associated gender composition on performance (solution rate and time) and process variables (number of impasses, number of passed solutions, and number of problem solving suggestions and interactions) in a set of classic insight problem solving tasks. Two types of insight problems…
Descriptors: Interpersonal Communication, Problem Solving, Higher Education, Undergraduate Students
Berjano, E.; Lozano-Nieto, A. – European Journal of Engineering Education, 2011
One of the most important issues in the reorganisation of engineering education is to consider new pedagogical techniques to help students develop skills and an adaptive expertise. This expertise consists of being able to recognise the nature of a problem intuitively, and also recognising recurring patterns in different types of problems. In the…
Descriptors: Expertise, Engineering Education, Mathematical Models, Electronics
Malaspina, Uldarico; Font, Vicenc – Educational Studies in Mathematics, 2010
This article presents the partial results obtained in the first stage of the research, which sought to answer the following questions: (a) What is the role of intuition in university students' solutions to optimization problems? (b) What is the role of rigor in university students' solutions to optimization problems? (c) How is the combination of…
Descriptors: Research Design, Intuition, Problem Solving, Higher Education
Spickler, Theodore R. – 1985
The strength of intuitive knowledge is illustrated by the difficulty that individuals have in trying to restructure student misconceptions. In order to harness this power, intuition must be developed within the context of each new concept to be taught. An experiment with one possible approach to this instructional problem is described and…
Descriptors: Comprehension, Concept Formation, Higher Education, Intuition
Peer reviewedBowers, Kenneth S.; And Others – Cognitive Psychology, 1990
A total of 308 undergraduates performed 2 word tasks and a gestalt closure task in a study of intuition. Subjects could respond discriminately to coherence they could not identify and were led by this perception to form a hunch or hypothesis. Clues to coherence evidently activate problem-solving networks. (SLD)
Descriptors: Cognitive Processes, Discovery Processes, Higher Education, Intuition
Pavitt, Charles – 1990
One of the most valuable skills in group decision making is the ability to make trustworthy judgments about group performance. It follows from the "inferential model" of social cognition (Pavitt, 1989; Pavitt & Hight, 1986), that there are three types of judgments relevant to the group context: (1) behavioral (what the group did);…
Descriptors: Discussion Groups, Evaluative Thinking, Higher Education, Inferences
Peer reviewedRubinstein, Moshe F.; Firstenberg, Iris R. – New Directions for Teaching and Learning, 1987
The goal of problem-solving education should be to develop tools for thinking that will constitute a shell or framework of action procedures that can be applied on an ever-changing database. These tools come in the form of heuristics that can be modified and adapted to new situations. (Author/MLW)
Descriptors: Cognitive Processes, Computers, Critical Thinking, Heuristics
Peer reviewedWoods, Donald R. – New Directions for Teaching and Learning, 1987
The implications of the interaction between knowledge acquisition and problem solving are discussed. Options for the teaching of problem solving are listed including: giving students the opportunity to solve many problems, facilitating students' exploration of the mental processes used to solve problems, and providing explicit training in the…
Descriptors: Cognitive Processes, College Instruction, Critical Thinking, Higher Education
Sherin, Bruce – Journal of Research in Science Teaching, 2006
Over the last two decades, a significant body of research has documented the nature of intuitive physics knowledge--the knowledge of the world that students bring to the learning of formal physics. However, this research has yet to document the roles played by intuitive physics knowledge in expert physics practice. In this article, I discuss three…
Descriptors: Problem Solving, Intuition, Physics, Higher Education
Peer reviewedMcCaulley, Mary H. – New Directions for Teaching and Learning, 1987
An overview of Jung's theory of psychological type, a problem-solving model, types of students in different college majors, predictions about teaching problem solving to students, practical applications of the theory to the teaching of problem solving, and strategies that develop skills in perception and judgment are presented. (MLW)
Descriptors: College Instruction, College Students, Critical Thinking, Educational Strategies
Suydam, Marilyn N., Ed.; Kasten, Margaret L., Ed. – Investigations in Mathematics Education, 1985
Abstracts of 12 mathematics education research reports and critical comments (by the abstractors) about the reports are provided in this issue of Investigations in Mathematics Education. The reports are: "More Precisely Defining and Measuring the Order-Irrelevance Principle" (Arthur Baroody); "Children's Relative Number Judgments:…
Descriptors: Blacks, Calculus, Cognitive Processes, Computation
Peer reviewedGallagher, Ann M.; DeLisi, Richard; Holst, Patricia C; McGillicuddy-DeLisi, Ann V.; Morely, Mary; Cahala, Cara – Journal of Experimental Child Psychology, 2000
Three studies examined strategy flexibility in mathematical problem solving among high school students on Scholastic Assessment Test-Mathematics problems and among college students on Graduate Record Examination-Quantitative items. Results suggested that strategy flexibility was a source of gender differences in mathematics ability as assessed by…
Descriptors: Adolescents, College Students, Comparative Analysis, High School Students
Clement, John – 1987
This document focuses on evidence from problem solving case studies which indicate that analogy, extreme case analogies, and physical intuition can play an important role as forms of nonformal reasoning in scientific thinking. Two examples of nonformal reasoning are examined in greater detail from 10 case studies of "expert" problem solving.…
Descriptors: Analogy, College Science, Higher Education, Intuition
Peer reviewedRosenthal, Bill – Primus, 1992
Offers calculus students and teachers the opportunity to motivate and discover the first Fundamental Theorem of Calculus (FTC) in an experimental, experiential, inductive, intuitive, vernacular-based manner. Starting from the observation that a distance traveled at a constant speed corresponds to the area inside a rectangle, the FTC is discovered,…
Descriptors: Calculus, College Mathematics, Discovery Learning, Experiential Learning
Peer reviewedOtte, Michael – For the Learning of Mathematics, 1990
Compared and contrasted are the concepts intuition and logic. The ideas of conceptual thought and algorithmic thought are discussed in terms of the world as a labyrinth, intuition and time, and the structure of knowledge. (KR)
Descriptors: Abstract Reasoning, Algorithms, Cognitive Ability, Cognitive Processes
Previous Page | Next Page ยป
Pages: 1 | 2
Direct link
