main task: prepare poster

lnnrtwttkhn commented 7 months ago

instructions:

Inhaltliche Vorgaben:

Formale Vorgaben:

Größe: DIN A0 (84,1 × 118,9 cm)
Ausrichtung: Hochformat
Schriftgröße (zur Orientierung): Überschrift mind. 100 pt, Untertitel mind. 50 pt, Text mind. 25 pt.
Platzierung folgender Logos bzw. Wortmarken: Universität Hamburg, DDLitLab, Stiftung Innovation in der Hochschullehre (siehe Anhang)
Hinsichtlich des Layouts, des Einsatzes von Abbildungen/Grafiken/Tabellen und der Farbwahl können Sie Ihrer Kreativität freien Lauf lassen

lnnrtwttkhn commented 7 months ago

inspiration:

lnnrtwttkhn commented 7 months ago

random ideas:

use same font as for the website, i.e., atkinson hyperlegible
display all our repositories as a folder structure (similar to here). all repos are also listed here. maybe we can even include tree -L 1 in it 🤓
we could use some of the pictures from the turing way, see here. just need to remember to credit the source!

lnnrtwttkhn commented 7 months ago

showcase all our github repositories
emphasize open educational materials
everything is open, can be reused and adapted
emphasize tools the many tools that we used: quarto, formR, git, github, datalad

why version control
- add definition of version control by turing way / pro git
why version control is needed for science
- digital objects constantly evolve: code and data change
- work on parallel versions / experiment
- go back in time, retrieve previous versions
- collaborate with others on changing repositories
- (optional): why not dropbox etc.?
add phd comics: here and here
add illustration of git repository
add modified version of phd "final" comic: what would this look like with git (please make this a separate illustration!)
project aim: make git accessible to students with a non-technical background, illustrate using https://xkcd.com/1597/
use illustrations from datalad course, starting here: http://datasets.datalad.org/datalad/datalad-course/html/MPI_Berlin_01.html#/2/9

who participated / how many (new research master)
in nearly all scientific disciplines, researchers draw insights from data using programming code
where was this course offered
when did the course take place
students worked on a recipes repository (simple, domain-agnostic)
add screenshot of lennart's recipes repo?
how many enrolled students in summer semester?
include plot of previous experience
say that it was only taught within institute of psychology
14 sessions of 90 minutes each
course schedule and topics
topics are not discipline-specific and can be transferred to any scientific discipline
say that git is essential skill in software development and number of users of github (83 Millionen (August 2022)[)
refer to university infrastructure: gitlab, jupyterhub

use quotes from evaluation results
educational materials
- track the entire evolution of our teaching materials
- meta-level: we use the tool that we teach about to create the teaching materials
add screenshots of survey
- e.g., how do you save and exit vim?
web analytics
every student has a recipes repository on github with contributions from other students
presentation in lab and at QUEST center
student and external contributors to course materials

students are interested in this topic and find it useful
it's good to take time to learn about git
git is not too hard to learn but requires a lot of practice
important to focus on implementation
focus on collaboration early on (introduce github earlier)
combine with more discipline-specific questions or in combination with data analysis project
discuss trade-off: git is domain-agnostic but more useful to learn about it in discipline-specific context (illustration: http://datasets.datalad.org/datalad/datalad-course/html/MPI_Berlin_01.html#/1/3)
focus on simple workflow, e.g., recipes is easier
time for implementation is good
didactics
how to get to implementation faster (e.g., read outside of class time)
difficult to embed new course in curriculum
students and admin ask: what does this have to do with psychology?
continuous evaluation of course helps to get insights into students learning progress
"teaching diary" helps to reflect on course progress and to plan next sessions

repetition in summer semester
ILLF@home application
stand-alone resource that can be continuously expanded
future projects:
- draw more insights from web analytics
- advertize resources more widely
- re-use in future courses outside of university
- integration into carpentries incubator: https://carpentries-incubator.org/
- contribution to special issues in "neuroinformatics" (keyword: Scholarship of Teaching, SOTL)
analyze survey data from students external respondents to get insights into difficult topics or derive additional improvements in version control book

lnnrtwttkhn commented 6 months ago

fixed by #9

lnnrtwttkhn / ddlitlab-presentation