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Nicol, David – Assessment & Evaluation in Higher Education, 2021
Students generate internal feedback by comparing their current knowledge against some reference information. That information might be planned for by teachers -- usually as comments on students' performance -- although most information is accessed by students themselves during task engagement, from their interactions with others, with resources…
Descriptors: Feedback (Response), Comparative Analysis, Models, Learning
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Finson, Kevin D.; Pedersen, Jon E. – Journal of Visual Literacy, 2015
An emergent data analysis technique was employed to test the veracity of a conceptual framework constructed around visual data use and instruction in science classrooms. The framework incorporated all five key components Vosniadou (2007a, 2007b) described as existing in a learner's schema: framework theory, presuppositions, conceptual domains,…
Descriptors: Data Analysis, Visual Aids, Information Utilization, Models
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Jacob, Robin T.; Goddard, Roger D.; Kim, Eun Sook – Educational Evaluation and Policy Analysis, 2014
It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…
Descriptors: Academic Achievement, Data, Information Utilization, Educational Assessment
Kloeppel, Kimmerly M. – ProQuest LLC, 2011
Academic integrity (AI) and academic dishonesty (AD) have been intensified areas of concern in higher education. This research study explored issues of students' AD at the University of New Mexico (UNM). With the rise in academic dishonesty, this study was conducted with the intention of determining how AD can be deterred or discouraged. Students…
Descriptors: Ethics, Data, Information Utilization, Universities
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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
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Losee, Robert M., Jr. – Journal of the American Society for Information Science, 1990
Describes various methods of measuring information contained in a database or in a document collection. Economic worth or utility of information to the user is discussed, the value of data in decision making is considered, and an example comparing information in two library collections is presented. (41 references) (LRW)
Descriptors: Comparative Analysis, Databases, Decision Making, Information Science
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Klobas, Jane E. – Journal of Information Science, 1995
Examines influences on the use of electronic information resources, including the Internet. Highlights include information quality and accessibility; the Technology Assessment Model; the Fitness for Purpose model; the Theory of Planned Behavior; and a study in Australia that compared the ability of these models to explain electronic information…
Descriptors: Access to Information, Comparative Analysis, Computer Networks, Foreign Countries
Bybee, Carl R. – 1980
A comparative analysis of two decision making strategies was conducted. One strategy compared alternatives on their best attributes for "the best payoff," while the other strategy called for accepting the first alternative that achieved all minimum cutoff values for all attributes. The subjects, 211 college students, selected a mayoral preference…
Descriptors: Behavioral Science Research, Cognitive Processes, College Students, Communication Research
Slovic, Paul; Lichtenstein, Sarah – 1970
Most research on information utilization in judgment and decision making has followed two basic approaches: "regression" and "Bayesian." Each has characteristic tasks and characteristic information that must be processed to accomplish these tasks. There has been a tendency to work within a single approach with minimal communication between the…
Descriptors: Analysis of Variance, Cognitive Processes, Comparative Analysis, Cues
Swanson, Burton E. – 1987
The International Program for Agricultural Knowledge Systems (INTERPAKS) research team is developing a descriptive and analytic framework to examine and assess agricultural technology systems. The first part of the framework is an inductive methodology that organizes data collection and orders data for comparison between countries. It requires and…
Descriptors: Access to Information, Agriculture, Comparative Analysis, Government Role
Cherns, A. B.; And Others – 1974
Within the context of UNESCO publications concerning science development, this first survey of country studies on Belgium, Chile, Egypt, Hungary, Nigeria and Sri Lanka gives information on the present state and organizational structure of social sciences. Evaluations of achievements which should contribute to the development of research and…
Descriptors: Careers, Comparative Analysis, Financial Support, Government Role
Eberts, Randall W. – 1997
A pilot project was designed to test the efficacy of profiling welfare recipients and referring them to welfare-to-work services targeted toward their specific work histories and skills. The general framework of Michigan's Work First program was used to illustrate how profiling can be designed and administered. A profiling model was proposed that…
Descriptors: Client Characteristics (Human Services), Comparative Analysis, Educational Needs, Employment Level
Peterson, Norman G.; Mumford, Michael D.; Borman, Walter C.; Jeanneret, P. Richard; Fleishman, Edwin A. – 1995
This document reports on the content model of the Occupational Information Network (O*NET), which is intended to replace the "Dictionary of Occupational Titles." The following chapters are included: "Introduction" (Michael D. Mumford and Norman G. Peterson); "Content Model" (Michael D. Mumford and Norman G. Peterson);…
Descriptors: Ability, Career Choice, Career Education, Career Exploration