Decision Theory Contributions to Optimal Course Design

Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Student Anticipations and Reactions to Hybrid Format Education

Perspectives on Issues in Higher Education ◽

10.1044/ihe11.2.76 ◽

2008 ◽

Vol 11 (2) ◽

pp. 76-82 ◽

Cited By ~ 4

Author(s):

Sarah M. Ginsberg

Keyword(s):

Qualitative Study ◽

Learning Styles ◽

Student Perceptions ◽

Course Design ◽

Learning Experience ◽

Learning Experiences ◽

Traditional Classroom ◽

Traditional Learning ◽

Online Platform ◽

Hybrid Format

Abstract This qualitative study examined student perceptions regarding a hybrid classroom format in which part of their learning took place in a traditional classroom and part of their learning occurred in an online platform. Pre-course and post-course anonymous essays suggest that students may be open to learning in this context; however, they have specific concerns as well. Students raised issues regarding faculty communication patterns, learning styles, and the value of clear connections between online and traditional learning experiences. Student concerns and feedback need to be addressed through the course design and by the instructor in order for them to have a positive learning experience in a hybrid format course.

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Giving advice: Decision theory perspectives on sexual assault.

American Psychologist ◽

10.1037/0003-066x.47.4.577 ◽

1992 ◽

Vol 47 (4) ◽

pp. 577-588 ◽

Cited By ~ 47

Author(s):

Baruch Fischhoff

Keyword(s):

Sexual Assault ◽

Decision Theory

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Rational Uses of Decision Theory

PsycCRITIQUES ◽

10.1037/a0017568 ◽

2009 ◽

Vol 54 (42) ◽

Author(s):

Gordon Pitz

Keyword(s):

Decision Theory

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Course design manual for job training courses: A preliminary edition.

PsycEXTRA Dataset ◽

10.1037/e451342004-001 ◽

1966 ◽

Author(s):

Keyword(s):

Course Design ◽

Job Training ◽

Training Courses

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Probability and statistics in item analysis and classification problems: Statistical decision theory approach to item selection for dichotomous test and criterion variables.

PsycEXTRA Dataset ◽

10.1037/e444312004-001 ◽

1957 ◽

Cited By ~ 1

Author(s):

Howard Raiffa

Keyword(s):

Decision Theory ◽

Item Analysis ◽

Item Selection ◽

Statistical Decision Theory ◽

Theory Approach ◽

Classification Problems ◽

Statistical Decision ◽

Probability And Statistics ◽

Selection For ◽

Criterion Variables

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The Measurement of Performance in Probabilistic Diagnosis IV. Utility Considerations in Therapeutics and Prognostics

Methods of Information in Medicine ◽

10.1055/s-0038-1635297 ◽

1981 ◽

Vol 20 (02) ◽

pp. 80-96 ◽

Cited By ~ 32

Author(s):

J. D. F. Habbema ◽

J. Hilden

Keyword(s):

Decision Theory ◽

Figure Of Merit ◽

Acute Abdominal Pain ◽

Theory Approach ◽

Expected Loss ◽

Patient Benefit ◽

Evaluation Approach ◽

Average Loss ◽

Actual Decision ◽

Probabilistic Diagnosis

It is argued that it is preferable to evaluate probabilistic diagnosis systems in terms of utility (patient benefit) or loss (negative benefit). We have adopted the provisional strategy of scoring performance as if the system were the actual decision-maker (not just an aid to him) and argue that a rational figure of merit is given by the average loss which patients would incur by having the system decide on treatment, the treatment being selected according to the minimum expected loss principle of decision theory.A similar approach is taken to the problem of evaluating probabilistic prognoses, but the fundamental differences between treatment selection skill and prognostic skill and their implications for the assessment of such skills are stressed. The necessary elements of decision theory are explained by means of simple examples mainly taken from the acute abdomen, and the proposed evaluation tools are applied to Acute Abdominal Pain data analysed in our previous papers by other (not decision-theoretic) means. The main difficulty of the decision theory approach, viz. that of obtaining good medical utility values upon which the analysis can be based, receives due attention, and the evaluation approach is extended to cover more realistic situations in which utility or loss values vary from patient to patient.

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The Process of Medical Diagnosis: Routes of Mathematical Investigations

Methods of Information in Medicine ◽

10.1055/s-0038-1636611 ◽

1978 ◽

Vol 17 (01) ◽

pp. 1-10 ◽

Cited By ~ 7

Author(s):

P. Tautu ◽

G. Wagner

Keyword(s):

Decision Theory ◽

Medical Diagnosis ◽

Pattern Analysis ◽

Logical Probability ◽

Inquiry Process ◽

Fuzzy Subsets

This paper is an analysis of the most important mathematical aspects of medical diagnosis: logical probability, rationality and decision theory, gambling models, pattern analysis, hazy and fuzzy subsets theory and, finally, the stochastic inquiry process.

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