Using Multiple Indicators of Cognitive State in Logistic Models that Predict Individual Performance in Machine-Mediated Learning Environments.

Hancock, Thomas E.; And Others

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Peer reviewed

ERIC Number: EJ534504

Record Type: Journal

Publication Date: 1995

Pages: N/A

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ISBN: N/A

ISSN: ISSN-0732-6718

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Using Multiple Indicators of Cognitive State in Logistic Models that Predict Individual Performance in Machine-Mediated Learning Environments.

Hancock, Thomas E.; And Others

Machine-Mediated Learning, v5 n3-4 p237-53 1995

In machine-mediated learning environments, there is a need for more reliable methods of calculating the probability that a learner's response will be correct in future trials. A combination of domain-independent response-state measures of cognition along with two instructional variables for maximum predictive ability are demonstrated. (Author/LRW)

Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Educational Environment, Feedback, Futures (of Society), Measures (Individuals), Models, Predictor Variables, Probability, Research Needs, Responses, Time on Task

Publication Type: Reports - Research; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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Authoring Institution: N/A

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Author Affiliations: N/A