NDLI: Biofunctional learning and performance

Content Provider	IEEE Xplore Digital Library
Author	Iran-Nejad, A. Homaifar, A.
Copyright Year	2005
Description	Author affiliation: Educational Psychol., Alabama Univ., Tuscaloosa, AL, USA (Iran-Nejad, A.)
Abstract	The first generation of learning scientists were behavioral psychologists, who pioneered the field in the first half of the 20th Century. Today, behavioral learning theory continues to enjoy a strong following even though its mainstream position was taken up by the second generation of learning researchers, namely cognitive psychologists. During the cognitive era, interest in the scientific study of learning spread to engineering and computer science with an almost exclusive focus on knowledge acquisition as the symbolic internalization of soft representations. Learning beyond soft knowledge, qualitative learning, and learning as multiple-source organizing were left up to the third generation of learning scientists - namely, biofunctionalists - who crossed the threshold of the 21st Century in dim popularity, mainly because of their counterintuitive definition of learning as whole theme reorganization of the learner's own intuitive knowledge base. This paper examines the three pioneering shifts in the science of learning with a focus on the nature of their landmark transitions.
Starting Page	411
Ending Page	417
File Size	189216
Page Count	7
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Psychology Knowledge acquisition Knowledge engineering Organizing Physics computing Computer science Control systems Genetic engineering Genetic algorithms Knowledge representation Multiple-Source Organizing Systems Biofunctional science Non-linear Learning Dynamic Self-Regulation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Combined numerical and linguistic knowledge representation and its application to medical diagnosis

Integrating multiple rule sets by genetic algorithms

Automatically integrating multiple rule sets in a distributed-knowledge environment

Self-organizing intelligence for cellular robotic system 'CEBOT' with genetic knowledge production algorithm

Automated knowledge acquisition using unsupervised learning

Harmonic competition: a self-organizing multiple criteria optimization

Knowledge acquisition including tags in a classifier system

Acquisition of fuzzy classification knowledge using genetic algorithms

A framework for knowledge acquisition through techniques of concept learning

Biofunctional learning and performance

Similar Documents

Combined numerical and linguistic knowledge representation and its application to medical diagnosis

Integrating multiple rule sets by genetic algorithms

Automatically integrating multiple rule sets in a distributed-knowledge environment

Self-organizing intelligence for cellular robotic system 'CEBOT' with genetic knowledge production algorithm

Automated knowledge acquisition using unsupervised learning

Harmonic competition: a self-organizing multiple criteria optimization

Knowledge acquisition including tags in a classifier system

Acquisition of fuzzy classification knowledge using genetic algorithms

A framework for knowledge acquisition through techniques of concept learning

Biofunctional learning and performance