Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Information Processing | 8 |
| Problem Solving | 8 |
| Science Education | 8 |
| Cognitive Processes | 4 |
| Higher Education | 3 |
| Science Instruction | 3 |
| Abstract Reasoning | 2 |
| Cognitive Psychology | 2 |
| College Science | 2 |
| Computers | 2 |
| Elementary School Science | 2 |
| More ▼ | |
Source
| Science | 2 |
| American Journal of Physics | 1 |
| Elementary School Journal | 1 |
| International Journal of… | 1 |
| Journal of Research in… | 1 |
| Science Education | 1 |
| Science Teacher | 1 |
Author
| Larkin, Jill | 2 |
| Berger, Carl F. | 1 |
| Firestone, Jonah B. | 1 |
| Lamb, Richard L. | 1 |
| Linn, Marcia C. | 1 |
| Lovrich, Deborah | 1 |
| Pintrich, Paul R. | 1 |
| Stamovlasis, Dimitrios | 1 |
| Tsaparlis, Georgios | 1 |
| Waldrop, M. Mitchell | 1 |
Publication Type
| Journal Articles | 8 |
| Reports - Research | 5 |
| Reports - Descriptive | 2 |
| Opinion Papers | 1 |
| Reports - General | 1 |
Education Level
| High Schools | 2 |
| Elementary Secondary Education | 1 |
| Grade 12 | 1 |
| Secondary Education | 1 |
Audience
| Practitioners | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
| Wechsler Adult Intelligence… | 1 |
What Works Clearinghouse Rating
Lamb, Richard L.; Firestone, Jonah B. – International Journal of Science and Mathematics Education, 2017
Conflicting explanations and unrelated information in science classrooms increase cognitive load and decrease efficiency in learning. This reduced efficiency ultimately limits one's ability to solve reasoning problems in the science. In reasoning, it is the ability of students to sift through and identify critical pieces of information that is of…
Descriptors: Cognitive Processes, Difficulty Level, Science Process Skills, Computation
Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education
Peer reviewedLarkin, Jill; And Others – Science, 1980
Focuses on human information processes and problem solving. Although a large body of knowledge is prerequisite to acquiring skill, the authors state that knowledge must be indexed by patterns that guide the person in a fraction of a second to relevant parts of the knowledge store. (Author/SA)
Descriptors: Abstract Reasoning, Academic Achievement, Computers, Higher Education
Peer reviewedLarkin, Jill – American Journal of Physics, 1981
Experienced Physicists solve simple textbook problems differently from beginning students. This paper describes these differences using a computer-implemented model that "learns." The research is set in the the context of modern computer-processing psychology, and is related to other work relevant to help people know and learn…
Descriptors: Cognitive Processes, College Faculty, College Science, College Students
Peer reviewedLinn, Marcia C. – Elementary School Journal, 1997
Gives historical account of research and practices associated with precollege science laboratories. Described three social contexts of research on science laboratories: separation, interaction, and partnership. Argues that more partnerships are needed to continue improvement to the science laboratory, suggesting that future partnerships will…
Descriptors: Elementary School Science, Elementary Secondary Education, Individual Development, Information Processing
Peer reviewedWaldrop, M. Mitchell – Science, 1988
Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science
Lovrich, Deborah – Science Teacher, 2004
Scientists and students often believe that if they just think harder about a problem, a solution will follow. However, thinking about one's thinking, or using metacognition, can be a more productive expenditure of mental energy. Introducing students to metacognition allows them to discover the value of reflection. This article presents a lesson on…
Descriptors: Prior Learning, Stimuli, Metacognition, Information Processing
Peer reviewedBerger, Carl F.; Pintrich, Paul R. – Journal of Research in Science Teaching, 1986
Uses two studies to examine developmental and task effects in estimation problems. Results are discussed in terms of student and task characteristics and the implications of such variables on information processing model of learning. Implications for science teaching, learning problem diagnostics, and science curricula are also discussed. (TW)
Descriptors: Elementary Education, Elementary School Science, Estimation (Mathematics), Feedback

Direct link
