A Model For Assessing The Performance Of Post Graduate Research Supervisors In Kenyan Universities

Abstract

Higher education has become important in Kenya due to the increase in the number of students, introduction of new courses at the universities and an increase in the number of universities. Our study undertook to create a model that investigated and identified the attributes that can be used to determine the performance of supervisors when assessing post graduate research students’ in Kenyan universities. The study was driven by the desire to evaluate why many post graduate students do not complete their research in a timely manner. The findings of this study can be used as a measure to determine promotions, to improve supervision performance in Kenyan universities, to improve service delivery in the industries and to ensure average or high completion rates of students at the post graduate level in Kenyan universities. The research targeted a population of 20 and more post graduate students and coordinators from Kenyan Universities. Online questionnaires were used to get data from the respondents and Likert scale was used to convert data into numeric values. We investigated whether the supervisor performance can be determined by the supervisor characteristics, student characteristics and use of learning resources and facilities. The data collected from the students and coordinators was analyzed using a system designed using Django web frameworks and data analytics was applicable.