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Analyse feedback collected from the Linux Foundation course #199
Comments
@markus-gsf-seidl would you like access to the Google Sheet? |
@russelltrow Yes, please :) |
I've still working on it, but what can be said already is:
There are over 1000 comments specifically and some other mentioning this in some form or another. The Q1 mentions a lot of
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Really interesting and aligns with what I imagined. From my brief analysis there were lots of positive comments about the Informative content and clear explanations but room for improvement in structure & format. It would be interesting to explore how it could be made more interactive and potentially have follow-on hands-on elements. How are you doing the analysis? If we could get together a list of the bugs/snags then I can work on a revised version. |
It's manual work, I've looked at some automated stuff, but in the end I found them more work to include and get a grip of (and too pricey) as sifting through this in a few hours. Additionally you get a better feel and contact with the commentors. I have categorized stuff, I can share a link to a document later with some explanation. So far it's like this: Whereas "Video" is any improvement which mentions more interactivity, audio, non-text-content, better graphics, animations, etc. One commenter said, we should cater to all of his learning channels, not just the text path. Also including live-workshops, learning groups, etc. Noise is everything that is not an improvement, in the end everything that is "good" should also be in there. Comments like "N/A", "none", etc. are not improvements (Q3). There are around 40 things that I classified as bugs, which are things that the commenters said: "this is wrong". I didn't check these. PS: I like this improvement request: "There are always scope of improvement" :D |
Next step is for @russelltrow to build a v1.1 snagging list based on the bugs identified |
@russelltrow I sent you my modified excel sheet with the categories, did I? |
Feedback has been reviewed and incorporated into content revisions for GSP v1.1 |
Context
After completing Green Software for Practitioners (LFC131) learners are asked for their feedback on the course and experience.
The survey includes the following questions:
I now have the responses from November 2022 - August 2023 in Google Sheets.
All of the questions above ask for both quantitive and qualitative feedback. For each question we have a sizeable number of text responses:
Task
I would like to synthesize the feedback and extract actionable insights we can use to improve the course. I don't have enough data analysis experience to know where to start beyond throwing it at ChatGPT.
Actions
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