Personality type, career preference and implications for computer science recruitment and teaching

Abstract

The aims of the paper are to identify Myers-Briggs Type Indicator (MB27) personality attributes of computing professionals that are best suited to three major subtasks of computing -g~stem analysis, system design and programing and to corg%m the validi~of the attributes for computing professionals.The MBIT categorises individuals on four pairs of personali~ characteristics: extraversiotiintroversion, sensingl intuition, thinkinglfeeling and judginglperceiving, giving stiteen possible personali~types.The existing literature indicates that just two of these sixteen personali~types account for more than a third of computing professionals.Consideration of the tasks of computing professionals today suggests that a much broader range of personali~types is required.Preferred types are suggested for each of the major subtasks of system analysis, gstem design and programming.A study of 38 computing professionals tends to confirm that computing professionals with a preference for one of the subtasks do have characteristics suggested for that subtask.The implications of these findings for the recruitment and retewion of students are discussed.q -.., .

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