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Rating of previous courses #11

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olisand opened this issue Jul 20, 2023 · 4 comments
Open

Rating of previous courses #11

olisand opened this issue Jul 20, 2023 · 4 comments
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enhancement New feature or request

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@olisand
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olisand commented Jul 20, 2023

As a possible course participant, I want to see the rating of a previous course instance, so that I can decide if I want to take this course.

@olisand olisand added the enhancement New feature or request label Jul 20, 2023
@olisand
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olisand commented Jul 20, 2023

One issue that might arise from that could be "I want to compare the rating of a given topic trained by different nodes to choose which one to attend" and that will create unwanted competition.

@unode
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unode commented Jul 24, 2023

Decoupling different factors that could contribute to course rating is not straightforward.
This information may be misleading to the reader.

If required I would suggest breaking down rating into multiple scales or factors that could impact the perceived quality of the course.

Some factors include:

  • Participants being selected vs first-come-first-served
  • (Team of) Instructors
  • Facility and equipment used (audio/video equipment, room configuration)
  • Format (online, in-person, online + in-person, distributed (multi-site), ...)
  • Accessibility (accents, captioning, platform for delivery ...)
  • Quality or "Version" of training materials (they tend to improve after every event)

@mihai-sysbio
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If the purpose is to share publicly the rating for a past training even, I'm not sure if decoupling is necessary. I'm imagining this would work like the reviews on Google Maps (or many other platforms):

Course title
4.20 ⭐⭐⭐⭐

@unode
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unode commented Jul 25, 2023

My point, and I believe Olivier's above is that a single value can be misleading to the reader and lead to competition between nodes.

If the issue is a matter of UI, I would vouch for having a hover panel where the score would be shown split by different aspects.
Motivation for the latter includes, providing a better understanding of what is impacting the score, rather than an opaque number.

A bit like Amazon score breakdowns, but with categories.
screenshot_2023-07-25_17-44-27_376932835

If defining scores by category is too challenging, I would find even the Amazon-like breakdown more useful than the aggregated one.

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3 participants