The mathematics performance of students enrolling in the engineering technology subjects such as robotics, image processing, control systems and others have been degraded at an alarming rate during the recent years. One of the reasons for this scenario is their inability to relate the mathematical knowledge with the technical applications including image processing. The inconsistency of terminologies used in mathematics and technical subjects has been identified as one of the main sources that contribute to this problem. In this paper, the mapping of the terminologies used in mathematics and image processing was done. It is found that there are different terminologies used in both subjects carry the same meaning and also some same terminologies used in both subjects represent different meanings. Thus it is recommended that lecturers teaching both subjects to introduce the variety of terminologies in defining a newly taught concept for teaching and learning of mathematics and image processing subjects.
%0 Journal Article
%1 bakri2013linking
%A Bakri, Norhayati
%A Ibrahim, Ratnawati
%A Salleh, Tuan Salwani Awang @
%A Zin, Zalhan Mohd
%D 2013
%J Procedia - Social and Behavioral Sciences
%K CS1 DIP
%P 454 - 463
%T Linking Mathematics and Image Processing Through Common Terminologies
%U http://www.sciencedirect.com/science/article/pii/S1877042813042973
%V 102
%X The mathematics performance of students enrolling in the engineering technology subjects such as robotics, image processing, control systems and others have been degraded at an alarming rate during the recent years. One of the reasons for this scenario is their inability to relate the mathematical knowledge with the technical applications including image processing. The inconsistency of terminologies used in mathematics and technical subjects has been identified as one of the main sources that contribute to this problem. In this paper, the mapping of the terminologies used in mathematics and image processing was done. It is found that there are different terminologies used in both subjects carry the same meaning and also some same terminologies used in both subjects represent different meanings. Thus it is recommended that lecturers teaching both subjects to introduce the variety of terminologies in defining a newly taught concept for teaching and learning of mathematics and image processing subjects.
@article{bakri2013linking,
abstract = {The mathematics performance of students enrolling in the engineering technology subjects such as robotics, image processing, control systems and others have been degraded at an alarming rate during the recent years. One of the reasons for this scenario is their inability to relate the mathematical knowledge with the technical applications including image processing. The inconsistency of terminologies used in mathematics and technical subjects has been identified as one of the main sources that contribute to this problem. In this paper, the mapping of the terminologies used in mathematics and image processing was done. It is found that there are different terminologies used in both subjects carry the same meaning and also some same terminologies used in both subjects represent different meanings. Thus it is recommended that lecturers teaching both subjects to introduce the variety of terminologies in defining a newly taught concept for teaching and learning of mathematics and image processing subjects.},
added-at = {2017-01-15T19:05:33.000+0100},
author = {Bakri, Norhayati and Ibrahim, Ratnawati and Salleh, Tuan Salwani Awang @ and Zin, Zalhan Mohd},
biburl = {https://www.bibsonomy.org/bibtex/2fe0628f4e41a56afa5098ec473e3df66/vngudivada},
interhash = {89a8baf574a4eacd62d6fb97ca052933},
intrahash = {fe0628f4e41a56afa5098ec473e3df66},
journal = {Procedia - Social and Behavioral Sciences},
keywords = {CS1 DIP},
pages = {454 - 463},
timestamp = {2019-03-25T17:10:07.000+0100},
title = {Linking Mathematics and Image Processing Through Common Terminologies},
url = {http://www.sciencedirect.com/science/article/pii/S1877042813042973},
volume = 102,
year = 2013
}