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tags: d77d1c0d9ca2f4c8421862c7c5a0d620
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262 changes: 262 additions & 0 deletions CodeRefinery_intro/index.html

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98 changes: 98 additions & 0 deletions _sources/CodeRefinery_intro.md.txt
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# About the CodeRefinery project and CodeRefinery workshops in general

```{keypoints}
- Teaches intermediate-level software development tool lessons
- Training network for other lessons, too
- Publicly-funded discrete projects (3 projects actually) transitioning towards an open community project
- We have online material, teaching, and exercise sessions
- We want more people to work with us, and to work with more people
```

CodeRefinery is a
[Nordic e-Infrastructure Collaboration (NeIC)](https://neic.no/)
project that has started in October 2016 and is
funded until February 2025.

The funding from 2022-2025 is designed to keep this project active
beyond 2025 by forming a support network and building a community of
instructors and contributors.

```{discussion} History

The CodeRefinery project idea grew out of two [SeSE](http://sese.nu) courses given at KTH Stockholm in 2014 and 2016.
The project proposal itself was submitted to NeIC in 2015, accepted in 2015, and started in 2016.

We have started by porting own lessons to the Carpentries teaching style and
format, and collaboratively and iteratively grew and improved the material to
its present form.
```


## Main goals

- Develop and maintain **training material on software best practices** for researchers that already write code. Our material addresses all academic disciplines and tries to be as programming language-independent as possible.
- Provide a [code repository hosting service](https://coderefinery.org/repository/) that is open and free for all researchers based in universities and research institutes from Nordic countries.
- Provide **training opportunities** in the Nordics using (Carpentries and) CodeRefinery training materials.
- Articulate and implement the CodeRefinery **sustainability plan**.


## Impact

We collect feedback and survey results to measure our impact.

3-24 months after attending a workshop, past participants are asked to complete a short post-workshop survey.
The survey questions aim to establish what impact CodeRefinery workshops have on how past participants develop
research software.

[Pre- and post-workshop survey results](https://coderefinery.org/about/impact/)

- Overall quality of research software has improved: more reusable, modular, reproducible and documented.
- Collaboration on research software development has become easier
- Past participants share their new knowledge with colleagues
- Usage of several tools is improved, and new tools are adopted

[Free-form answers](https://coderefinery.org/#what-do-our-participants-say-after-attending-a-workshop)
also suggest that workshops are having the intended effects on how people develop code. A common theme is:

> *I wish I had known this stuff already as a grad student 10+ years ago...*

We would love to get suggestions on how we can better quantify our impact. This
would make it easier for us to convince institutions to partner with us and
also open up funding opportunities.

## Target audience

### Carpentries audience

The Carpentries aims to teach computational **competence** to learners through an applied approach, avoiding the theoretical and general in favor of the practical and specific.

**Mostly, learners do not need to have any prior experience in programming.** One major goal of a Carpentry workshop is to raise awareness on the tools researchers can learn/use to speed up their research.

By showing learners how to solve specific problems with specific tools and providing hands-on practice, learners develops confidence for future learning.

> ## Novices
> We often qualify Carpentry learners as **novices**: they do not know what they need to learn yet. A typical example is the usage of version control: the Carpentry `git` lesson aims to give a
> very high level conceptual overview of Git but it does not explain how it can be used in research projects.
{: .callout}


### CodeRefinery audience

In that sense, CodeRefinery workshops differ from Carpentry workshops as we assume our audience already writes code and scripts and we aim at teaching them **best software practices**.

Our learners usually do not have a good overview of **best software practices** but are aware of the need to learn them. Very often, they know the tools (Git, Jupyter, etc.) we are teaching
but have difficulties to make the best use of them in their software development workflow.

Whenever we can, we direct learners that do not have sufficient coding experience to Carpentries workshops.

> ## Competent practitioners
> We often qualify CodeRefinery learners as **competent practitioners** because they already have an understanding of their needs.
{: .callout}

> ## Best software practices for whom?
> It can be useful to ask the question: *best software practices for whom*?
> CodeRefinery teaches *best software practices* derived from producing and
> shipping software. These practices are also very good for sharing software,
> though our audience will probably not need to embrace *all* aspects of
> software engineering.
{: .callout}
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(co-teaching)=

# Co-teaching

:::{objectives}
- Get to know the principle of co-teaching: How we do it and how you can too.
:::

:::{instructor-note}
- Teaching: ? min
- Exercises: ? min
:::

Why teach together?
-------------------

It has been said **a lot**, especially in areas such as code development or scientific research, about the value of collaboration.
Yet still today, the effort of teaching is made alone far too often: a person decides to share their knowledge (or gets assigned a study module) and starts building the actual teaching material basically from scratch.
It seems much more logical, in the age of FAIR science and open knowledge, to release, develop, iterate, and maintain teaching material -- including the contact sessions -- **collaboratively** as well.

Ways to teach together
----------------------

* Develop materials together - avoid duplication.
* Present the materials together ("proper" co-teaching, see [Team teaching section](https://coderefinery.github.io/manuals/team-teaching/) on the CR manual).
* Use helpers extensively to tackle specific tasks commonly arising in online teaching process.
* Involve your learners too, e.g. using collaborative document (such as HackMD) for parallel and mass answers.

Advantages
----------

* If you need to teach anyway, combined efforts take up less time.
* More engaging to the audience, taking some of the (sometimes daunting) expectation to "speak up" off of the students.
* Easier on-boarding of new instructors -- one of them can be learning at the same time, either subtleties of the material or the teaching itself.
* [Swiss-cheese](https://en.wikipedia.org/wiki/Swiss_cheese_model) principle: two "imperfect" teachers are __much__ easier to find and complement each other than the extensively-prepared, absolute expert.

Challenges
----------

* Additional effort needed of teacher and/or helper coordination -- including syncing up their schedules!
* Materials might need to be (hopefully slightly) tuned to a specific target audience.
* Using simultaneous-teaching strategies is a learned skill, not identical to the classical lecturing.
* Online tools (HackMD, type-alongs) can potentially overload learners and teachers alike, if not used with care.

:::{exercise}
(What's better here -- practical exercise or discussion?)
:::

(TODO: Here goes the rest of the episode sections and text)


:::{keypoints}
- Here we summarize keypoints.
:::
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