Informing Science + IT Education Conference 2003 Proceedings


Abstracts

Informing Science + IT Education Conference

Pori, Finland June 24-27, 2003





docs\062Suraw.pdf Paper Accepted as a/n Short Paper pages
0427-0435

Enhancing the Quality of Learning and Understanding of First Year Mathematics for Computer

Science Related Majors

Francis Suraweera

University of Tasmania, Australia

Most courses on Discrete Mathematics are designed to emphasize problem solving, in general. When the goal is to

cover the content, the learning and understanding takes a second place. Over time, the stu-dents’ understanding will

have large gaps of knowledge that leads to non-enjoyment of the course and a great deal of anxiety. Given the

choice, most first year students would not do the Discrete Mathematics course. It is not an easy course to teach

because of the opposing expectations of the instructor and stu-dents. However, as instructors, we all share a

common goal: we would like our students to acquire the skills to perform complex mental operations so that they

will be successful in the classroom as well as their future careers. In this paper, we present a way to enhance the

learning and understanding of Dis-crete Mathematics whether it is offered in a distance learning mode or a

traditional classroom situation.

Keywords: Computer Science education, mathematics instruction, problem solving, Bloom’s taxonomy, and quality

of learning.

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ISSN 1535-07-03
Unless otherwise indicated, this paper has undergone blind external review by three or more reviewers.
Types of Papers: A Best Paper, Regular Paper, Short Paper, Informal Paper, Unrefereed Panel Paper