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evaluations/20260424_day_4/README.md

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Pedro has some amazing material and is a great lecturer
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but i am not intrested in parallel programming.
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Bjorn was mostly ok but maybe a bit fast (packages).
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Rachel should have more advanced material,
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Richel should have more advanced material,
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we are smarter than he thinks.
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Brigitte i didn't get through the sessions as batch is not intresting
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but i need it until you install ondemand everywhere.

reflections/202604_whole_course/README.md

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- Dates: 2026-04-20, 2026-04-22, 2026-04-23, 2026-04-24
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- Author: Richel
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## Self-rated confidence
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## Self-rated confidence again proves useless
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The average confidences per course, colored by course day:
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![Confidences per question, colored by course day](../../evaluations/202511_course/confidences_per_question.png)
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From that, I see no obvious difference.
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To me, this again shows that the self-assessed confidences are unrelated
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to course quality (e.g. the review paper `[Yates et al., 2022]`,
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where no relation is claimed between self-assessment
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and the actual skill being taught,
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hence being used to assess teaching).
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## Other feedback
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I have already
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[reflected on feedback from day 3](../../reflections/20260423/README.md).
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Here I add the feedback from other days that is relevant to me:
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### Day 2
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- I didn't like the way in which they have taught during day 2.
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- big step up from day 1
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- Proper instructions and more time for breakout rooms
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where we can talk to an instructor for help....
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- A big difference from day 1.
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Sorry, but it needs to be improved a lot
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- Day 2 was much more disorganised and less pedagogical than day 1.
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Days 1 and 2 are different. Some of these mention a preference for day 1.
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### Day 4
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- Overall, [the pace] is OK, but it may be too fast for beginners,
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even though it is meant to be an introduction.
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- Overall, while I think that the course has some good parts and some teachers
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were very good and pedagogical, the course still goes too fast
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for the most part, assumes that attendees know more prerequisites
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than they actually need in order to attend,
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and several of the teachers need to improve their teaching skills.
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- Teachers were all good, although Richèl stood out (positively).
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- I think the course has potential, but it could benefit from more
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interaction with the students.
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- Finally, I would suggest removing the section on how to connect
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to the HPC clusters.
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Since this is a course about Python and Python in HPC clusters,
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connecting to the cluster should be a prerequisite;
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alternatively, it could be sent as a pre-course exercise
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before the program starts.
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The course should remain focused on Python
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and its application within HPC clusters.
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- Richel should have more advanced material,
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we are smarter than he thinks.
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Here seems to be some topics:
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- Q1: Who is the course aimed at: beginners of more experienced users?
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- Q2: Which prerequisites does the course have and do we **not** teach
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what is assumed in those prerequisites?
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- Q3: How much Python should we teach (i.e. beyond HPC Python)?
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My answers:
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- A1: I follow the pace of the learners. This means I am beginner-friendly.
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- A2: I am quite strict in what I do teach and I do assume the prerequisites
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being fulfilled
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- A3: As minimal as possible: the goal is to get things to work in an HPC
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environment
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## Listen to feedback
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My question:
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Should we listen to feedback from the learners when they recommend
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follow the literature instead. Would we be in doubt, then checking the
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literature is a great next step.
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## Actually listen to feedback
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Here is some feedback from [the May 2023 evaluations](../evaluations/20230523/evaluation_20230523.csv):
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- Please be prepared and make it more hands-on.
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- Test the modules work the day before instead of a week before!
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More exercises for us to try
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- More exercises all over.
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- more time for code-along and on-your-own to try it
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- More GPU and ML examples. More about how to install packages in
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virtual environment as I had problems
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- longer time to do the exercises
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This means already since May 2023 the learners ask for more time for
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exercises. Are they being listened to?
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## References
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- `[Yates et al., 2022]` Yates, Natasha, Suzanne Gough, and Victoria Brazil.
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"Self-assessment: with all its limitations, why are we still measuring
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and teaching it? Lessons from a scoping review."
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Medical Teacher 44.11 (2022): 1296-1302.

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