Teaching: 10 min
Exercises: 5 min
  • Who is participating in this workshop and what do they know?

  • What will we cover (or not) in this workshop?

  • What prior knowledge do workshop participants have?

  • Understand what will be covered in the instructor training.


Introductions set the stage for learning.
— Tracy Teal, Executive Director, Data Carpentry

Favorite Class

In the Etherpad, write down your name, the best class you ever took (or one class from your top ten, if you can’t decide), and what made it so great.

Hello everyone, and welcome to the Data Carpentry and Software Carpentry instructor training. We’re very pleased to have you with us.

Today’s Trainers

Each trainer can introduce themselves.

Most of you are probably here because you have attended or helped at a Software or Data Carpentry workshops. To make sure everyone has the same context, we’ll give a brief overview of the Software and Data Carpentry organizations.

Software and Data Carpentry are both communities of volunteer researchers, educators, and more who develop lessons and teach two day workshops on basic computing and data skills for researchers. Software Carpentry focuses on how researchers can be effective computationally and developing software; Data Carpentry focuses on how researchers can effectively manage their data. Both organizations aren’t out to teach specific skills, per se - although those are covered - but instead, the main goal is to convey best practices that will enable researchers to be more productive and do better research.

In the same way, this training will cover specific teaching skills, but one of our main emphases will be the “best practices” of teaching. We want to introduce you to a handful of key educational research findings and show how they can be used to help people learn better and faster. We will also be introducing you to the teaching practices that have been adopted by the Software and Data Carpentry communities, and the overall philosophy and procedures of both organizations in order to prepare you to teach at Software and Data Carpentry workshops.

We will not be going over the workshop content in detail (although we will talk about the lessons tomorrow), but instead focus on developing teaching skills that are broadly useful across all of our lessons. Part of this is because this two day training is the first step in getting fully certified to teach Software and/or Data Carpentry workshops. The follow-up steps for full certification will require that you dig into the workshop content yourself and we’ll talk about that more tomorrow afternoon.

To orient yourself, there is a schedule on the workshop webpage.

One aspect of this course’s design is its relationship to teaching as a performance art. Just as musicians learn theory, practice techniques, and perform for each other, we’re going to be looking at some learning theory (also known as educational psychology) and why it matters to us as Software and Data Carpentry instructors, create exercises and learning materials, and practice our teaching. You can expect a lot of hands-on work and discussion. We’ll be using the the Etherpad to collect answers and help facilitate discussion - if you ever have any questions, feel free to put them into the notes or chat box of the Etherpad and we’ll make sure we get to them by the end of the day.

One part of making this a productive two days for all of us is a community effort to treat one another with kindness and respect. This training, as in all Software/Data Carpentry workshops is subject to the Software and Data Carpentry Code of Conduct. We will be able to give our best effort (and have the most fun!) if everyone abides by these guidelines.

The greatest asset of Software and Data Carpentry is people like yourself - people who want to help researchers learn about these ideas and share their own experience and enthusiasm. We hope that this training gives everyone a chance to meet new people and share ideas.

Assessing Trainee Motivation and Prior Knowledge

It’s important to first assess the prior knowledge of the workshop participants because this will influence (to some extent) how you motivate the activities and how you communicate with the attendees.


Have you ever participated in a Software Carpentry or Data Carpentry Workshop?

  1. Yes, I have taken a workshop.
  2. Yes, I have been a workshop helper.
  3. Yes, I organized a workshop.
  4. No, but I am familiar with what is taught at a workshop.
  5. No, and I am not familiar with what is taught at a workshop.

Which of these most accurately describes your teaching experience?

  1. I have been a graduate or undergraduate teaching assistant for a university/college course.
  2. I have not had any teaching experience in the past.
  3. I have taught a seminar, workshop, or other short or informal course.
  4. I have been the instructor-of-record for my own university/college course.
  5. I have taught at the K-12 level.

Which of these questions assesses flaws in a student’s mental model of a domain?

  1. I’m not sure what a mental model is.
  2. “In Python, what is the expected output for the following statement: 1 + ‘2’” (a) ‘12’ (b) TypeError (c) ‘3’ (d) 3
  3. “Rate your experience with the R programming language.” (a) never used it (b) beginner (c) intermediate (d) expert
  4. “What does the Unix command ‘cut’ do?” (a) Extracts sections from each line of input. (b) Sorts fields of a line (c) Searches the input file for lines containing a match to a pattern (d) Removes a given input from a line

Now that we have a better idea of everyone’s prior knowledge and familiarity with some of the SWC and DC teaching practices, we’re ready to begin our training. Our goal is that by the end, you will have acquired some new knowledge, confidence, and skills that you can use in your teaching practice in general and in teaching SWC and DC workshops specifically.

Our first topic will be cognitive development and mental models, which will lead into the theory and practice behind multiple choice questions, like the ones you just answered.

Key Points