Proposed Model for Predictive Mapping of Graduate's Skills to Industry Roles Using Machine Learnining Techniques

Citation:
Mwakondo FM, Muchemi LM, Omwenga EI. "Proposed Model for Predictive Mapping of Graduate's Skills to Industry Roles Using Machine Learnining Techniques." The International Journal Of Engineering And Science (IJES). 2016;5(4). copy at http://profiles.uonbi.ac.ke/eomwenga/publications/proposed-model-predictive-mapping-graduates-skills-industry-roles-using-machin

Abstract:

The main focus in training evaluation is not only to determine whether training objectives
were achieved but also how to improve evaluation so as to enhance both employability of
graduates and performance in the job. This is in response to challenges facing not only
graduates in choosing industry jobs that befit their skills, but also employers in selecting
graduates whose skills match to their needs. Problem solving is one of the skills acquired
during training by graduates and strongly sought for by employers during evaluation to
promote performance in the job. This paper presents a model for evaluating graduates' by
mapping their problem solving skills to industry jobs' competence requirements and the
potential of using machine learning techniques to train the model in predicting suitable

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