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Jonassen, David H.; Hannum, Wallace H. – Journal of Instructional Development, 1986
Describes functions comprising task analysis process--inventory, description, selection, sequencing, and analysis--and reviews distinctions between the micro/macro level, top-down/bottom-up, and job/learning task analysis processes. These functions and distinctions are combined into a quasi-algorithm suggesting which of 30 task analysis procedures…
Descriptors: Algorithms, Behavioral Objectives, Classification, Content Analysis
Peer reviewedGrzelak, Hanna; Kowalski, Kazimierz – Information Processing and Management, 1983
Presents methods of information query building in selective dissemination of information systems based on user's publications and examines possible compatibility between user's information queries and his publications. Methods of information query construction determined by logical operators AND, OR, NOT and set of weighted keywords are described.…
Descriptors: Algorithms, Information Needs, Information Retrieval, Information Seeking
Suits, Jerry P. – 2000
The results of this study are consistent with a two-stage model of learning chemistry, a multi-dimensional subject, in which students accumulate knowledge in stage one, and then restructure their knowledge in stage two. When cognitive, metacognitive and achievement variables were subjected to a predictive discriminant analysis (PDA) procedure,…
Descriptors: Achievement, Algorithms, Chemistry, College Students
Peer reviewedKimberling, Clark – Mathematics Teacher, 1983
Suggestions are given for having students write or modify computer programs for listing prime positive integers and continued fractions, to help them discover mathematical concepts. Sample programs are included. (MNS)
Descriptors: Algorithms, Computer Oriented Programs, Computer Programs, Discovery Learning
Peer reviewedBirenbaum, Menucha; Tatsuoka, Kikumi – Journal of Educational Measurement, 1982
Empirical results from two studies--a simulation study and an experimental one--indicated that, in achievement data of the problem-solving type where a specific subject matter area is being tested, the greater the variety of the algorithms used, the higher the dimensionality of the test data. (Author/PN)
Descriptors: Achievement Tests, Algorithms, Data Analysis, Factor Structure
Winn, William – Educational Technology, 1981
Reviews research related to content organization and learning and identifies some strategies for designing meaningful content organization that research has suggested might be useful to instructional designers. Forty references are listed. (Author/CHC)
Descriptors: Academic Aptitude, Algorithms, Cognitive Ability, Course Content
McIntosh, Alistair – Mathematics Teaching, 1980
More mental computation and organized and enjoyable activities to practice such skills are advocated. Suggestions for brief sessions involving challenging questions and quick recall of number facts are presented. The author presents and comments on several sample lessons designed for a wide range of student abilities. (MP)
Descriptors: Algorithms, Computation, Elementary School Mathematics, Elementary Secondary Education
Peer reviewedJordan, Michael P. – Instructional Science, 1980
This discussion of information structures in written texts describes how linguistic analysis of short published reports leads to the presentation of an algorithm that depicts the problem-solving process in terms of a series of evaluative questions. (Author/CHC)
Descriptors: Algorithms, Bibliographies, Cognitive Processes, Communication Skills
Peer reviewedJones, S.; And Others – Journal of Documentation, 1997
Discusses the use of transaction logging in Okapi-related projects to allow search algorithms and user interfaces to be investigated, evaluated, and compared. A series of examples is presented, illustrating logging software for character-based and graphical user interface systems, and demonstrating the usefulness of relational database management…
Descriptors: Algorithms, Computer Interfaces, Computer Software, Database Management Systems
Peer reviewedGal-Ezer, Judith; Lichtenstein, Orna – Mathematics and Computer Education, 1997
Shows by means of a mathematical example how algorithmic thinking and mathematical thinking complement each other. An algorithmic approach can lead to questions that deepen the understanding of mathematics material. (DDR)
Descriptors: Algorithms, Case Studies, Cognitive Processes, Computer Science Education
Peer reviewedGluck, Myke – Journal of the American Society for Information Science, 1990
Examines the definition of journal coverage overlap in abstracting and indexing services during the past 30 years of research and expands the definition using a matrix of dissimilarity values. Multidimensional scaling analysis is applied to graphically demonstrate this definition and a naive secondary tool selection algorithm is presented. (43…
Descriptors: Algorithms, Citation Analysis, Data Collection, Factor Analysis
Peer reviewedReys, Robert E.; And Others – Journal for Research in Mathematics Education, 1991
Computational strategies and estimating abilities of 466 Japanese students were tested and interviews with a subsample of that group were used to compare with a theoretical model based on a sample from the United States. Results of the comparison of computational and estimating abilities are presented. (CW)
Descriptors: Algorithms, Arithmetic, Cognitive Processes, Cognitive Style
Peer reviewedBlando, John A.; And Others – Journal for Research in Mathematics Education, 1989
Seventh-grade students were tested to uncover arithmetic errors. Answers and intermediate steps were analyzed and models to represent students' behavior were developed. Certain errors were common across students. Others were tied to the format of the test item. Some superficial understandings of mathematical concepts were exposed. (Author/DC)
Descriptors: Algorithms, Arithmetic, Computation, Error Patterns
Peer reviewedNussbaum, Francis, Jr. – American Biology Teacher, 1988
Presents an algorithm for solving problems related to multiple allelic frequencies in populations at equilibrium. Considers sample problems and provides their solution using this tabular algorithm. (CW)
Descriptors: Algorithms, Biological Sciences, College Science, Genetics
Peer reviewedZoller, Uri; And Others – Journal of Chemical Education, 1995
Analyzes differences in students' performance on algorithmic, lower-order cognitive skills (LOCS), and conceptual exam questions and the correlations between their achievements on these categories across different populations.Reports that the highest scores were obtained for the algorithmic questions, the lowest for the conceptual questions, and…
Descriptors: Algorithms, Chemistry, Cognitive Ability, Cognitive Measurement


