An Empirically Based Instructional Design Theory for Teaching Concepts

Tennyson, Robert D.; Cocchiarella, Martin J.

doi:10.2307/1170286

Cited by 32 publications

(42 citation statements)

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“…In particular, providing non-examples and distinguishing critical from variable features can help to prevent misconceptions, by ensuring that people do not mistakenly generalize from one or two examples and assume that all instances of a term or concept share the same characteristics as those examples. See Tennyson and Cocchiarella (1986) for a more detailed explanation of this approach and a review of the literature in this area.…”

Section: Empirical Results Regarding Differences Among Audiencesmentioning

confidence: 99%

On the state of the art: risk communication to the public

Bier¹

2001

Reliability Engineering & System Safety

187

108

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Section: Empirical Results Regarding Differences Among Audiencesmentioning

confidence: 99%

On the state of the art: risk communication to the public

Bier¹

2001

Reliability Engineering & System Safety

187

108

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“…Concept-learning is the process in which subjects learn to categorize objects, processes or events, for instance, formation of diagnostic skills in medicine or psychology (see Tennyson and Cocchiarella, 1986, for a complete review of the theory of concept-learning).…”

Section: Computation Of Posterior Predictive Distributionmentioning

confidence: 99%

Applications of Bayesian Decision Theory to Sequential Mastery Testing

Vos¹

1999

Journal of Educational and Behavioral Statistics

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The purpose of this paper is to formulate optimal sequential rules for mastery tests. The framework for this approach is derived from empirical Bayesian decision theory. Both a threshold and linear loss structure are considered. The binomial probability distribution is adopted as the psychometric model involved. Conditions sufficient for sequentially setting optimal cutting scores are presented. Optimal sequential rules will be derived for the case of a beta distribution representing prior true level functioning. An empirical example of sequential mastery testing for concept-learning in medicine concludes the paper. (Contains 6 tables and 51 references.) (SLD) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** The purpose of this paper is to formulate optimal sequential rules for mastery tests. The Applications of Bayesian Decision

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“…Additional examples should reflect the scope of the concept (matched examples) and diversity (divergent examples). In situations where the concept is conditional, worked examples may be necessary (see Tennyson & Cocchiarella, 1986, for a complete review of these instructional variables).…”

Section: Linking Componentsmentioning

confidence: 99%

MAIS: A computer-based integrated instructional system

Tennyson

1993

Behavior Research Methods, Instruments, & Computers

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An instructional design model, the Minnesota Adaptive Instructional System (MAIS), that links knowledge acquisition and employment with specific computer-based instructional prescriptions is reviewed. Specific cognitive processes for acquisition of declarative, procedural, and contextual knowledge are respectively linked to expository, practice, and problem-oriented strategies. Likewise, the cognitive processes of employment (i.e., recall, problem solving, and creativity) are linked to complex-dynamic and self-directed strategies. Each of the instructional strategies is composed of variables and conditions that have been empirically tested and shown to improve specific forms of knowledge acquisition and employment.

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An Empirically Based Instructional Design Theory for Teaching Concepts

Cited by 32 publications

References 0 publications

On the state of the art: risk communication to the public

On the state of the art: risk communication to the public

Applications of Bayesian Decision Theory to Sequential Mastery Testing

MAIS: A computer-based integrated instructional system

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