Location

Malawi University of Science & Technology, Malawi

Start Date

26-8-2022 12:10 PM

End Date

26-8-2022 12:35 PM

Description

Career choice prediction has been a complex phenomenon both in developed and developing countries. Though various theories that describe career prediction have emerged, their practical implementation in the form of a system has been hampered by the shortfalls that come along with each of them. However, there is no existing theoretically based holistic model that merges various theories that can inform the development of such a system in the developing world context. This paper, therefore, aims at proposing a holistic conceptual model that integrates a number of variables to inform the development of a career prediction system in the developing world context. The study focused on the strengths of the various theories identified from literature to develop a conceptual model. Model verification and validation will be undertaken after data collection in the proposed study.

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Aug 26th, 12:10 PM Aug 26th, 12:35 PM

Towards a Conceptual Model for developing a Career Prediction System for Students’ Subject Selection at Secondary School Level

Malawi University of Science & Technology, Malawi

Career choice prediction has been a complex phenomenon both in developed and developing countries. Though various theories that describe career prediction have emerged, their practical implementation in the form of a system has been hampered by the shortfalls that come along with each of them. However, there is no existing theoretically based holistic model that merges various theories that can inform the development of such a system in the developing world context. This paper, therefore, aims at proposing a holistic conceptual model that integrates a number of variables to inform the development of a career prediction system in the developing world context. The study focused on the strengths of the various theories identified from literature to develop a conceptual model. Model verification and validation will be undertaken after data collection in the proposed study.