engleski

Computer assisted career guidance: Comparison of different career decision making models

The research is focused on empirical comparison of career advices (e-advices) given by different computer-assisted career decision making models. For this purpose a new computer-assisted career guidance system (CACGS) was developed with built-in algorithms for Expected Utility Model (EUM), Sequential Elimination Model (SEM), Mixed Model, and Mathematical Model. The EUM and Mathematical Model are by their nature compensatory models, while SEM and Mixed Model are based on non-compensatory algorithms. The adequacy of models was validated by pragmatic validity of their e-advices, measured by clients’ satisfaction with e-advice, congruence with their actual occupation or educational profile, and congruence with their Holland’s interest types. Respondents were high school students (n=229), university students (n=625), and employees (n=130), all diverse by their educational or occupational profiles, and equally distributed by gender. Results show that clients were most satisfied with e-advice by Mathematical Model, then by EUM, while least satisfied with e-advice by SEM (F=69.58 ; p<0.01). The congruence of e-advice and clients’ occupational or educational profile was highest for EUM and lowest for SEM (F=9.52 ; p<0.01). The congruence between RIASEC interests and e-advice was highest for EUM and significantly lower for Mixed Model and SEM (F=16.42 ; p<0.01). Moreover, the reported differences in models validity were mainly consistent in different subsamples. It was concluded that EUM and Mathematical Model offer better career advice to different groups of clients than SEM. It seems that computer career advice provided by compensatory decision making models are to some extent better than e-advice given by non-compensatory models, and that issue of compensation process in career decision making should be seriously taken into consideration.

Computer assisted career guidance (CACGS); Sequential Elimination Model (SEM); Expected Utility Model (EUM); career decision making.

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