Malaysia university candidates are facing indecisiveness in college major selectionin their tertiary education; and thus a career guidance tool is needed to assist them intheir college majors’ selection. This research was intended to develop a computerassisted career guidance (CACG) software, which consists of a vocational interestinventory (Putra College Majors Inventory) and a college major finder (PutraCollege Majors Finder). Putra College Majors Inventory (PCMI) is a vocationalinterest inventory which consisted of 360 items and was developed based on JohnHolland’s Theory of Vocational. The process of developing PCMI followed theguideline 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. Reliabilityanalysis and content validity were performed to ensure the reliability and validity of PCMI. Putra College Majors Finder (PCMF) consisted of a list of 44 BachelorDegree programmes of Universiti Putra Malaysia (UPM) where individualprogramme was assigned with a three-letter environment code. PCMF wasdeveloped by assessing the undergraduates’ environment in UPM via EnvironmentAssessment Technique (EAT). A total of 2505 second last semester (2004/2005)undergraduates from all bachelor degree programmes in UPM have beenpurposively sampled as the sample for this study. Statistical analysis on PCMIyielded an Alpha Cronbach of .98 and content validity index of 8.76 on a ten-pointscale. 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 linewith the university’s mission to be a leading Centre of Learning and Research,contributing not only towards human advancement and discovery of knowledge butalso to the creation of wealth and nation building. A CACG software was thendeveloped based on data collected from this study. Correlation analysis wasperformed between the calculated result from computerized PCMI versus the paperand pencil PCMI. The Degree of Correlation was r (335) =1.00, p<0.01 proving thatthere were no difference found between them.
A Career Guidance Software for Selection of College Majors in Universiti Putra Malaysia
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