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ERIC Number: ED418548
Record Type: RIE
Publication Date: 1998
Pages: 53
Abstractor: N/A
Reference Count: N/A
ISBN: ISBN-0-87367-631-9
A Neural Network Guide to Teaching. Fastback 431.
Baker, Justine C.; Martin, Francis G.
This booklet proposes a model for learning that provides insight into the underlying physiology of the brain and suggests teaching strategies of repetition, variety and pattern, and incubation consistent with that physiology. It discusses how these three strategies can be used to enhance learning in the cognitive, psychomotor, and affective domains. The first section of the booklet provides an overview of the brain as a biological neural network. Following this section is one on artificial neural networks and how they shed light on human physiology. The next section addresses learning in the context of neural networks and describes three processes intrinsic to biological neural networks and their relation to learning taxonomies. Then recommendations are provided for applying neural networks to educational practice and a detailed illustration of these teaching strategies is provided, including recommendations such as: (1) establish learning objectives; (2) develop a shared experience; (3) employ targeted teaching and learning strategies; (4) assign drill, practice, and application exercises; and (5) test students' mastery and provide feedback. The roles of administrators and counselors in facilitating the learning process in students is also addressed. (Contains 22 references.) (CR)
Phi Delta Kappa Educational Foundation, 408 N. Union, P.O. Box 789; Bloomington, IN 47402-0789; telephone: 812-339-1156.
Publication Type: Guides - Non-Classroom
Education Level: N/A
Audience: Practitioners
Language: English
Sponsor: N/A
Authoring Institution: Phi Delta Kappa Educational Foundation, Bloomington, IN.
Identifiers: N/A