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Meyer, David E.; And Others – Psychological Review, 1988
Theoretical/empirical foundations on which reaction times are measured and interpreted are discussed. Models of human information processing are reviewed. A hybrid procedure and analytical framework are introduced, using a speed-accuracy decomposition technique to analyze the intermediate products of rapid mental processes. Results invalidate many…
Descriptors: Cognitive Processes, College Students, Decision Making, Higher Education
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Hamilton, David L.; Huffman, Leroy J. – Journal of Personality and Social Psychology, 1971
Descriptors: Behavioral Science Research, College Students, Concept Formation, Evaluative Thinking
Deffenbacher, Kenneth A. – Psychol Rep, 1970
Descriptors: College Students, Concept Formation, Information Processing, Learning Processes
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Bybee, Carl R. – Communication Research--An International Quarterly, 1981
Experiment dealt with selecting political candidates. Results provide some limited support for the hypothesized importance of matching information presentation formats to decision-making strategies. However, the most effective pattern of matching turned out to be in the opposite direction of the prediction. Discusses methodological issues. (PD)
Descriptors: College Students, Communication Research, Comparative Analysis, Decision Making
Schroder, H. M.; Schutzius, Robert – 1973
The authors present an educational method based on Information Processing Theory that utilizes student information search and concept formation as a foundation for writing reports on selected real world problems. The method requires the development of a data library which contains information (e.g., financial, economic, social, political) relevant…
Descriptors: College Students, Concept Formation, Curriculum Development, Information Processing
Entwistle, Noel – Higher Education Bulletin, 1975
A model derived from information processing theory is described, which helps to explain the complex verbal learning of students and suggests implications for lecturing techniques. Other factors affecting learning, which are not covered by the model, are discussed in relationship to it: student's intellectual development and effects of individual…
Descriptors: College Students, Educational Psychology, Higher Education, Individual Differences
Weaver, Frances – 1978
Data for a study of the composition process consisted of student compositions written in response to four stimulus tasks (compositions written within unstructured, topical/Aristotelian, dramatic situation, and behavioral models), and students' introspective comments made in response to questionnaires, during taped discussions, and in individual…
Descriptors: Cognitive Processes, College Students, Discourse Analysis, Higher Education
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Roman Sanchez, Jose Maria – Electronic Journal of Research in Educational Psychology, 2004
Introduction: Experimental validation of a self-regulated learning procedure for university students, i.e. the "meaningful text-reading" strategy, is reported in this paper. The strategy's theoretical framework is the "ACRA Model" of learning strategies. The strategy consists of a flexible, recurring sequence of five mental operations of written…
Descriptors: Experimental Groups, Control Groups, Learning Strategies, Information Processing
Kaye, Daniel B.; And Others – 1981
This investigation capitalizes upon the information processing models that depend upon measurement of latency of response to a mathematical problem and the decomposition of reaction time (RT). Simple two term addition problems were presented with possible solutions for true-false verification, and accuracy and RT to response were recorded. Total…
Descriptors: Addition, Cognitive Development, Cognitive Processes, College Students
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Steinerová, Jela; Šušol, Jaroslav – Information Research: An International Electronic Journal, 2007
Introduction: The paper is based on the study of library users in Slovakia as part of a larger research project on the use of information. Method: A large-scale questionnaire survey was conducted in 2002 in sixteen academic and research libraries with 793 subjects, especially students and educators. Analysis: The data were analysed with the use of…
Descriptors: Users (Information), Questionnaires, Surveys, Research Libraries