A Career Guidance Software for Selection of College Majors in Universiti Putra Malaysia
Malaysia university candidates are facing indecisiveness in college major selection in their tertiary education; and thus a career guidance tool is needed to assist them in their college majors’ selection. This research was intended to develop a computer assisted career guidance (CACG) software,...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2006
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| Online Access: | http://psasir.upm.edu.my/id/eprint/5506/1/FPP_2006_15.pdf http://psasir.upm.edu.my/id/eprint/5506/ |
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| Summary: | Malaysia university candidates are facing indecisiveness in college major selection
in their tertiary education; and thus a career guidance tool is needed to assist them in
their college majors’ selection. This research was intended to develop a computer
assisted career guidance (CACG) software, which consists of a vocational interest
inventory (Putra College Majors Inventory) and a college major finder (Putra
College Majors Finder). Putra College Majors Inventory (PCMI) is a vocational
interest inventory which consisted of 360 items and was developed based on John
Holland’s Theory of Vocational. The process of developing PCMI followed the
guideline from Brown (1983), which involved specification of instrument purpose,
translating purpose into operational term, develop instrument plan, item writing,
item analysis, standardization of scoring, and technical analysis of test. Reliability
analysis and content validity were performed to ensure the reliability and validity of PCMI. Putra College Majors Finder (PCMF) consisted of a list of 44 Bachelor
Degree programmes of Universiti Putra Malaysia (UPM) where individual
programme was assigned with a three-letter environment code. PCMF was
developed by assessing the undergraduates’ environment in UPM via Environment
Assessment Technique (EAT). A total of 2505 second last semester (2004/2005)
undergraduates from all bachelor degree programmes in UPM have been
purposively sampled as the sample for this study. Statistical analysis on PCMI
yielded an Alpha Cronbach of .98 and content validity index of 8.76 on a ten-point
scale. The study shows that the environment profile for UPM is Social (S),
Investigative (I) and Artistic (A). The SIA environment profile of UPM is in line
with the university’s mission to be a leading Centre of Learning and Research,
contributing not only towards human advancement and discovery of knowledge but
also to the creation of wealth and nation building. A CACG software was then
developed based on data collected from this study. Correlation analysis was
performed between the calculated result from computerized PCMI versus the paper
and pencil PCMI. The Degree of Correlation was r (335) =1.00, p<0.01 proving that
there were no difference found between them. |
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