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Masters Dissertations: Computer Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1812/61
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| Title: | A FRAMEWORK TO SUPPORT THE TEACHING OF INTRODUCTORY PROGRAMMING |
| Authors: | Gill, Randave Singh |
| Keywords: | Teaching introductory programming |
| Issue Date: | Jun-2006 |
| Abstract: | Teaching introductory programming is still seen to be a very challenging in today’s
world of computing education. Many key factors such as high failure rates in first year
programming courses, low student retention numbers in programming streams and the
reluctance of students to pursue advance programming courses provide indication of the
difficulties faced by educators and students. Educators are constantly finding ways to
improve the various elements relating to the teaching and learning of the subject in
order to reduce or eliminate the challenges being faced. One example of these initiatives
which is currently being studied and applied in various institutions, is the need to
understand the student’s cognitive characteristics in order to develop a more
individualized and specific learning environment. Other forms of benefits resulting
from the paradigm shift of traditional (objectivism) to newer and more effective
teaching models (constructivist model) as well as the proliferation of various Internet
based support tools are also being measured and piloted accordingly. It is with this tone
that this study aims develop a support framework that will improve the process of
teaching introductory programming. The development and implementation of this
framework is expected to enhance the teaching process hence creating a more
conducive learning environment. The formation of this framework will be based on the
findings and conclusions gathered from various initiatives and research from all around
the world as well as from the lecturers and students within FSKTM. |
| Description: | Master of Computer Science |
| URI: | http://dspace.fsktm.um.edu.my/handle/1812/61 |
| Appears in Collections: | Masters Dissertations: Computer Science
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