UPSI Digital Repository (UDRep)
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Abstract : Universiti Pendidikan Sultan Idris |
Selecting suitable students as research assistants is important to improve their research
skills and to reduce the cost of research projects. As such, this study sets out to develop
a general decision matrix to determine the most appropriate criteria for evaluating and
selecting qualified students as research assistants for research funded by university
grants. In addition, the study attempts to explore the quality of such research assistants
and the challenges facing supervisors in selecting the right candidates. In this study, a
questionnaire consisting of 47 criteria adopted from a literature survey was administered
to 23 experts at two Iraqi universities taken as a case study to identify the appropriate
skills that research assistants should possess before they could be considered for
recruitment. The Fuzzy Delphi Method (FDM) was used to reveal 16 appropriate criteria
which were applied to a sample of 30 students using the Multi Criteria Decision Making
method including the Analytic Hierarchy Process (AHP) and Technique for Order
Preference by Similarity to Ideal Solution (TOPSIS). The findings showed that the
integration of FDM, AHP, and TOPSIS was effective in identifying qualified research
assistants. In particular, the statistical analysis carried out in the validation and
evaluation phases showed some variations in the mean and standard deviation of such
criteria for the first, second, and third group of students, the calculated percentages of
which were 65% and 4.5%, 52% and 3.4%, and 40% and 4.3%, respectively. In
conclusion, the decision matrix managed to distinguish and prioritize students with high
levels of skills over those with lower levels of skills. These findings imply that the
developed decision matrix could be used to support existing expert system applications
in the research ecosystem in the university |
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