This week-long workshop is intended for people interested in teaching, reusing and repurposing the Software Carpentry, Data Carpentry or Analyzing High Throughput Sequencing Data materials. It covers the basics of educational psychology and instructional design, and looks at how to use these ideas in both intensive workshops and regular classes. The workshop is a mix of lectures and hands-on lessons where you practice giving a short lesson using approaches learned and implement some of the teaching techniques which we will discuss. This is training for teaching, not technical training; will be working on development of bioinformatics materials, but will not be teaching that content. This workshop builds upon the Carpentries instructor training, with added content pertaining to the practicalities of organizing workshops with diverse formats and settings, development of genomics lessons, and includes some stages of instructor checkout for those who wish to complete the Carpentries certification. The Carpentries' mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. The constantly revised and updated Carpentries' Instructor Training curriculum is accessible here.

Who: The course is aimed at everyone who is interested in becoming a better teacher. In particular, this training is aimed at those who want to teach technical workshops, develop their own workshop materials, and/or become Software and Data Carpentry instructors and contribute to the Carpentry training materials. You don't currently have to be an instructor or a teacher to attend this workshop, but you do need to be willing and committed to becoming one and to improving your teaching techniques.

Where: 944 Garrod Drive, Davis CA. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants should bring a laptop that is Internet connected and has a functioning browser. If you have it, a device for recording audio and video (mobile phones and laptops are OK) is useful as throughout the two days, we are going to record one another teaching in pairs or threes. It does not have to be high-quality, but it should be good enough that you can understand what someone is saying.

Please also read the Preparation section below. You will also receive some further information before the workshop so please check your email.

All participants are also required to abide by Software Carpentry's Code of Conduct.

Contact: Please email dibsi.training@gmail.com for more information.

Etherpad: http://pad.software-carpentry.org/DIBSI-TTT-Monday.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.

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Schedule

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Syllabus

Course material may be found here. Note that we will be using the schedule above, but the links contained in the sample schedule will lead to the relevant content.

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Preparation

Reading

Please read these two short papers, which provide a brief overview of some key evidence-based results in teaching:

"The Science of Learning"

"Success in Introductory Programming: What Works?"

You may also wish to read Mark Guzdial's "Top 10 Myths About Teaching Computer Science", which is a nice overview of things that are not true, but are widely believed.

If you are interested in doing more reading, you may enjoy:

How Learning Works, which is an excellent summary of current research in teaching and learning

Building a Better Teacher, a well-written look at why educational reforms in the past 50 years have mostly missed the mark and about what we should be doing instead

Teaching What You Don't Know, which is a situation many of us find ourselves in more often that we'd like.

Lessons

Please choose *one* episode from the list below and read through it carefully. You will be using your selected episode for several in-class exercises, so be sure you are comfortable with the content.

Next-Generation Sequence Analysis Workshop

Select a lesson from the 2016 ANGUS curriculum: https://angus.readthedocs.io/en/2016/

Data Carpentry

Wrangling Genomics - Read QC: http://datacarpentry.org/wrangling-genomics/00-readQC.html

Basic Queries in SQL: http://datacarpentry.org/sql-ecology-lesson/01-sql-basic-queries/

Starting with Data in R: http://datacarpentry.org/R-ecology-lesson/02-starting-with-data.html

Starting with Data in Python: http://datacarpentry.org/python-ecology-lesson/01-starting-with-data

Software Carpentry

Working with Files and Directories in the Unix Shell: https://swcarpentry.github.io/shell-novice/03-create/

Tracking Changes in Git: https://swcarpentry.github.io/git-novice/04-changes/

Selecting Data in SQL: https://swcarpentry.github.io/sql-novice-survey/01-select/

Repeating Actions with Loops in Python: https://swcarpentry.github.io/python-novice-inflammation/02-loop/

Exploring Data Frames in R: https://swcarpentry.github.io/r-novice-gapminder/05-data-structures-part2/