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Labutov, Igor; Lipson, Hod – International Educational Data Mining Society, 2016
A growing subset of the web today is aimed at "teaching" and "explaining" technical concepts with varying degrees of detail and to a broad range of target audiences. Content such as tutorials, blog articles and lecture notes is becoming more prevalent in many technical disciplines and provides up-to-date technical coverage with…
Descriptors: Educational Resources, Internet, Sequential Learning, Classification
Alcock, Lara; Simpson, Adrian – Educational Studies in Mathematics, 2017
This paper describes a study in which we investigated relationships between defining mathematical concepts--increasing and decreasing infinite sequences--explaining their meanings and classifying consistently with formal definitions. We explored the effect of defining, explaining or studying a definition on subsequent classification, and the…
Descriptors: Mathematical Concepts, Concept Teaching, Definitions, Classification
Wilson, Brent G.; Merrill, M. David – Performance and Instruction, 1980
Shows how elaboration theory (ET) sequences the concepts in a taxonomy and argues that the product of an ET analysis is usually in general agreement with sequencing based on learning prerequisite relationships, and that ET sequencing of taxonomic concepts will not violate learning prerequisite relationships. (Author/MER)
Descriptors: Classification, Cognitive Processes, Concept Formation, Concept Teaching
Tennyson, Robert D.; Steve, Michael H. – 1973
In the first of three studies, separately reported, the effects of prompting and sequencing on a science concept task were studied with college students. The data analysis showed that the prompting procedure was significantly different from a no-prompting condition; prompting seemed to negate the affect of the defined concept instructional…
Descriptors: College Students, Concept Formation, Concept Teaching, Grade 7
Park, Ok-Choon; Tennyson, Robert D. – 1979
A total of 132 volunteer 10th and 11th grade students participated in an experiment to investigate two variables of computer-based adaptive instructional strategies for concept learning. The first variable tested the hypothesis that selection of number of examples according to on-task information is more efficient than selection according to…
Descriptors: Computer Assisted Instruction, Concept Formation, Concept Teaching, Educational Research

Tennyson, Robert D. – Journal of Educational Psychology, 1980
For college students learning concepts, the advisement condition resulted in better performance than the learner control condition and needed less instructional time than the adaptive control condition. Results also indicated that students given concepts simultaneously performed better and needed less instruction than those who received concepts…
Descriptors: Computer Assisted Instruction, Concept Formation, Concept Teaching, Content Analysis

Tennyson, Carol L.; And Others – Journal of Educational Psychology, 1980
Senior high students who were given concepts simultaneously learned more than those who received concepts successively. A second variable, instructional control strategy, contrasted an adaptive (computer-assisted) control strategy with learner control. Performance was above the criterion level for the adaptive condition, but below it for learner…
Descriptors: Computer Assisted Instruction, Concept Formation, Concept Teaching, Content Analysis

Ranzijn, Frederik J. A. – Instructional Science, 1992
Describes two experiments in Dutch secondary schools that were carried out to study the effect of the sequencing of the information in computer-assisted instructional programs. Instructional design for concept learning is discussed; successive and coordinate relationships between concepts are explained; and tests designed for procedural and…
Descriptors: Analysis of Variance, Computer Assisted Instruction, Computer Software Development, Concept Formation