Visualization as a key element in learning

Author

Fulcher, John A.

Author_Institution

Sch. of Inf. Technol. & Comput. Sci., Wollongong Univ., NSW, Australia

Volume

1

fYear

2001

fDate

2001

Firstpage

469

Abstract

Experience with teaching undergraduate and postgraduate computer science (CS) subjects has shown that students benefit substantially from being able to visualize fundamental topics. Examples are presented from five different CS areas, namely: (i) communications, (ii) parallel computing, (iii) artificial neural networks, (iv) genetic algorithms and (v) data mining. The majority of these examples stemmed from student projects, rather than commercial software products. Accordingly, students benefit twofold from the visually-oriented subject presentations, firstly in facilitating the learning of basic concepts, and secondly in the development of educational software packages as part of their project work

Keywords

computer science education; courseware; data mining; data visualisation; genetic algorithms; neural nets; parallel processing; teaching; telecommunication; CS areas; artificial neural networks; case studies; communications; data mining; educational software packages; genetic algorithms; parallel computing; pedagogy; postgraduate computer science subjects; student projects; teaching methods; undergraduate; visually-oriented subject presentations; Artificial neural networks; Computer science; Data visualization; Education; Genetic algorithms; Graphics; Intelligent networks; Mathematical model; Parallel processing; Protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2001. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology

Print_ISBN

0-7803-7101-1

Type

conf

DOI

10.1109/TENCON.2001.949637

Filename

949637