The trick is discerning which topics to collect data on; age, education, experience, etc. These obvious ones are all well and good, but I need to determine what is going to be of use to industry. This will require some discussion, quite probably during the interview process. I need to be able to gather the data probably by mid year, then spend probably 2 months analysing it. Following that, hopefully the results will bear out on two fronts; one, the interviews should provide enough fodder on the issues of GDE that I can put together recommendations for how to approach building a games course, the importance of internships and real world experience, the need for a more structured approach to education and industry interaction, the value of teamwork and soft skill and the absolute need for a well rounded skill set. This research is the exploratory part.
The quant part is the more practical, immediately useful part. I need to outline what the data will be used for and how long it will before the data will be useful to educators. For example, it may take a year to gather data on not only existing developers but developers who join the industry in 12 months to get a better picture of where these developers are coming from. Regarding how the data will be used, a university games course chair might view the data and note that the majority of programmers new to industry (or within 5 years) all have a strong C++ background, so it would be logical to ensure that students of that course are adequately exposed to C++.
The interview process will still be vital, as a large part of this research is still exploratory.
So, a balance must be struck. The plan has been revised to ensure the outcomes have a greater practical purpose for stakeholders; while previously the data would be largely qualitative, the balance is now more evenly split. I need to knock together a few diagrams to illustrate this new direction for my own edification, then put together a schedule detailing what I'll be doing and when. Following that, I need to revise my methods chapter and educate myself on data analysis methods in place of the case study literature I previously included.
More to come.
