Publication Date
| In 2026 | 0 |
| Since 2025 | 185 |
| Since 2022 (last 5 years) | 865 |
| Since 2017 (last 10 years) | 912 |
| Since 2007 (last 20 years) | 918 |
Descriptor
Source
Author
| van der Linden, Wim J. | 17 |
| Kiers, Henk A. L. | 13 |
| ten Berge, Jos M. F. | 10 |
| Gongjun Xu | 9 |
| Gerlach, Vernon S. | 8 |
| Willett, Peter | 8 |
| Chun Wang | 7 |
| Stocking, Martha L. | 7 |
| Charp, Sylvia | 6 |
| Chen, Hsinchun | 6 |
| Craven, Timothy C. | 6 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 256 |
| Teachers | 128 |
| Researchers | 116 |
| Policymakers | 7 |
| Administrators | 5 |
| Students | 5 |
| Counselors | 1 |
| Media Staff | 1 |
| Support Staff | 1 |
Location
| China | 23 |
| Australia | 19 |
| Turkey | 16 |
| Netherlands | 14 |
| United States | 11 |
| USSR | 10 |
| California | 8 |
| Canada | 8 |
| Europe | 8 |
| Germany | 7 |
| South Korea | 7 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedNaveh-Benjamin, Moshe; And Others – Journal of Educational Psychology, 1986
This article presents a new method of inferring students' cognitive structures and their development. A modification of Reitman and Rueter's "ordered tree technique," the method generates a structure that displays important relationships assumed to be in a student's memory about concepts taken from a specific field of study. (Author/LMO)
Descriptors: Algorithms, Analysis of Variance, Cognitive Development, Cognitive Structures
Peer reviewedWilcox, Rand R. – Journal of Experimental Education, 1983
A latent class model for handling the items in Birenbaum and Tatsuoka's study is described. A method to derive the optimal scoring rule when multiple choice test items are used is illustrated. Remedial training begins after a determination is made as to which of several erroneous algorithms is being used. (Author/DWH)
Descriptors: Achievement Tests, Algorithms, Diagnostic Tests, Latent Trait Theory
Peer reviewedRichbart, Lynn A. – Arithmetic Teacher, 1985
Two worksheets are given, outlining algorithms to help students determine the day of the week an event will occur and to find the date for Easter. The activity provides computational practice. A computer program for determining Easter is also included. (MNS)
Descriptors: Algorithms, Computation, Computer Software, Drills (Practice)
Peer reviewedJonak, Zdenek – Information Processing and Management, 1984
Demonstrates efficiency of preparation of query description using semantic analyser method based on analysis of semantic structure of documents in field of automatic indexing. Results obtained are compared with automatic indexing results performed by traditional methods and results of indexing done by human indexers. Sample terms and codes are…
Descriptors: Algorithms, Automatic Indexing, Comparative Analysis, Information Retrieval
Jonassen, David H. – Programmed Learning and Educational Technology, 1984
Describes types of learning and organizational strategies and suggests that pattern noting--a technique to organize information in a relational manner showing linkages between topics--is a powerful organizational strategy. An algorithmic procedure for semantically analyzing pattern notes and various pattern note applications are described.…
Descriptors: Algorithms, Cognitive Processes, Diagrams, Educational Technology
Peer reviewedMorgenstern, Frances B.; Pincus, Morris – Arithmetic Teacher, 1977
This article discusses the use of concrete materials as conceptual models which serve as references for later learning of algorithms. (DT)
Descriptors: Algorithms, Discovery Learning, Elementary School Mathematics, Elementary Secondary Education
van der Linden, Wim J. – 1999
A constrained computerized adaptive testing (CAT) algorithm is presented that automatically equates the number-correct scores on adaptive tests. The algorithm can be used to equate number-correct scores across different administrations of the same adaptive test as well as to an external reference test. The constraints are derived from a set of…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Peer reviewedMaor, Eli – Mathematics Teacher, 1974
Descriptors: Algorithms, Computer Programs, Diagrams, Logarithms
Peer reviewedSander, H. D.; Altmann, G. – Phonetica, 1973
Descriptors: Algorithms, Classification, Graphs, Linguistic Theory
Peer reviewedSauter, G. D.; Ott, W. R. – Journal of the Air Pollution Control Association, 1974
Describes an algorithm for the determination of current and projected annual air pollution emissions from vehicles in any urban area. A computer program based on this algorithm, PAVE, has been developed. Results of applying the program to emissions from automobiles in the San Francisco Bay Area are presented and discussed. (Editor/JR)
Descriptors: Air Pollution, Algorithms, Computer Programs, Environment
Svabova, Zdenka – Programmiertes Lernen, 1972
Descriptors: Algorithms, Computer Assisted Instruction, Educational Experiments, Educational Problems
Peer reviewedYoung, Forrest W.; Cliff, Norman – Psychometrika, 1972
A metric multidimensional scaling (MDS) procedure based on computer-subject interaction is developed, and an experiment designed to validate the procedure is presented. (Author)
Descriptors: Algorithms, Mathematical Models, Multidimensional Scaling, Predictive Measurement
Peer reviewedMoon, B. A. M. – International Journal of Mathematical Education in Science and Technology, 1973
Descriptors: Algorithms, Computational Linguistics, Computer Programs, Computer Science
Peer reviewedIngram, Elisabeth – International Review of Applied Linguistics in Language Teaching, 1971
Earlier version of this paper was read at the Second International Congress of Applied Linguistics, Cambridge, England, September 1969. (VM)
Descriptors: Algorithms, Behavior Patterns, Cognitive Processes, Communication (Thought Transfer)
Peer reviewedTatsuoka, Kikumi K.; Tatsuoka, Maurice M. – Journal of Educational Measurement, 1983
This study introduces the individual consistency index (ICI), which measures the extent to which patterns of responses to parallel sets of items remain consistent over time. ICI is used as an error diagnostic tool to detect aberrant response patterns resulting from the consistent application of erroneous rules of operation. (Author/PN)
Descriptors: Achievement Tests, Algorithms, Error Patterns, Measurement Techniques


