| University | University of Auckland (UOA) |
| Subject | A Guide to Mentoring |
The selected topic for this research
Title– Making Mentor and mentee matching a success ( I want to change this to a more catching one suitable for STEM Research Method )
Description
The idea is to use parameters like skill set, education background, knowledge level, and work experience of mentor and mentee. Based on an optimal algorithm that is designed in this research project, the system should be able to list the matching mentee or mentor for a given input data. The input can be a mentor or mentee. Kaggle data set can be used for this purpose.
RQ: What are the drawbacks of existing approaches in making successful matches between mentor and mentee in academic institutions? ( is it possible to improve this RQ? )
How to overcome those limitations?
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Overview of research methods
The aim of doing this small-scale research project is for you to gain an appreciation for research through your own experience. This piece of practical work will build your confidence and competence in doing research and assist you to better critique other research. It is highly recommended that you be proactive in building up a good working relationship with your supervisor. You must involve your supervisor in guiding and advising you on the different stages of your research and the decisions you make.
This research project will involve primary data. You will either collect some primary data or use data that has already been collected. Secondary research as in a literature review or summary of the workings of technology is not appropriate.
However, if you are using a design science approach, then building and testing a set of metrics will be sufficient (consult with your supervisor). The research must be relevant to a group of people and make a contribution to a field or body of knowledge. Aim to spend approximately 100 hours in total, including planning, applying the research method, and writing it up.
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