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Scull, John; Hill, Linda – Augmentative and Alternative Communication (AAC), 1988
"Cued Typing" is a computerized communication message preparation program, written for Apple II Plus, using frequency-based prediction algorithms and menu selection to reduce word cost while maintaining vocabulary flexibility. "Cued Typing" was more efficient than letter-by-letter typing, but word cost was still quite high, and…
Descriptors: Algorithms, Communication Aids (for Disabled), Communication Disorders, Keyboarding (Data Entry)

Schoenfeld, Alan H.; Arcavi, Abraham – Mathematics Teacher, 1988
The concept of variable is central to mathematics teaching and learning in junior and senior high schools. Described is a structured reflexive exercise designed to reexamine the notion of variable and to rediscover its richness and multiplicity of meaning. (PK)
Descriptors: Algebra, Algorithms, Equations (Mathematics), Functions (Mathematics)

Rada, Roy; And Others – Journal of Documentation, 1988
Describes the indexing concept of entry terms, and evaluates existing terms in the Medical Subject Headings by comparing them to the results of an automatic indexer. The results of experimental testing of a strategy for creating entry terms using the algorithms of the automatic indexer are presented. (31 references) (CLB)
Descriptors: Algorithms, Automatic Indexing, Computational Linguistics, Concept Mapping

O'Donnell, William J. – Mathematics Teacher, 1988
Discusses computer methods for finding roots of polynomials. The program provided finds rational roots and prints the roots as rational numbers. (PK)
Descriptors: Algebra, Algorithms, Computer Assisted Instruction, Computer Uses in Education

Carter, Carolyn S.; And Others – Journal of Research in Science Teaching, 1987
Reports on a study in which two spatial tests were given to science and engineering majors and to students in nursing and agriculture at Purdue University (Indiana). Scores from the tests consistently contributed a small but significant amount of success on measures of performance in chemistry. (TW)
Descriptors: Academic Achievement, Agricultural Education, Algorithms, Chemistry
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

Grzelak, 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

Kimberling, 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

Birenbaum, 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

Jordan, 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

Jones, 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

Gal-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