DocumentCode
2914054
Title
A unified integrated teaching-learning modular approach to education: application to computer engineering education and to machine learning
Author
Zaghloul, A.R.M. ; Saad, Ashraf
Author_Institution
Coll. of Eng., Georgia Inst. of Technol., Savannah, GA, USA
Volume
3
fYear
2002
fDate
6-9 Nov. 2002
Abstract
We propose a unified integrated teaching-learning modular (UITLM) approach to education. It is based on a breakdown of knowledge to integrated modules of information. The basic level of breakdown is to be used in education to buildup concepts, while the higher ones are to be used to buildup complex concepts of knowledge, including those of experts. Key to the success of this breakdown is the relational integration of the information leading to the concept under consideration. This approach lends itself smoothly to a unified teaching-learning concept of education. The information handler, being a teacher, a student, or another educational environment, is at the center of this educational model. The main inherent characteristics of this model are extreme flexibility, integration, ease of interaction, and being evolutional. The last leads to the development of the educational environment to grow in complexity, approaching that of an expert, by its own internal behavior and interaction with the information handler. As examples of the proposed UITLM, we discuss its application to computer engineering education and to machine learning.
Keywords
computer aided instruction; computer science education; learning (artificial intelligence); teaching; computer engineering education; education; information handler; integrated teaching-learning modular approach; knowledge breakdown; machine learning; Application software; Artificial intelligence; Computer science education; Educational institutions; Electric breakdown; Humans; Information analysis; Information processing; Machine learning; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education, 2002. FIE 2002. 32nd Annual
ISSN
0190-5848
Print_ISBN
0-7803-7444-4
Type
conf
DOI
10.1109/FIE.2002.1158632
Filename
1158632
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