Overview

Teaching: 5 min
Exercises: 15 min

Questions

• What have we learned so far?

• What needs to be done to prepare for the next part of the workshop?

Objectives

• Describe overnight homework.

• Produce a paragraph, drawing, or diagram that summarizes what was taught to this point.

Homework

• Read over “The Science of Learning”
• Take a look at the Software/Data/Library Carpentry lessons and identify an episode that you will prepare to teach from

If you have not yet selected an episode to focus on and would like a recommendation, consider one of the following:

• Data Carpentry
  • Faceting and Clustering in OpenRefine
  • Basic Queries in SQL
  • Starting with Data in R
  • Starting with Data in Python
• Library Carpentry
  • Working with Files and Directories in the Unix Shell
  • Faceting and filtering in Open Refine
  • For loops in Python
• Software Carpentry
  • Working with Files and Directories in the Unix Shell
  • Tracking Changes in Git
  • Selecting Data in SQL
  • Repeating Actions with Loops in Python
  • Exploring Data Frames in R

Key Points

• So far, we have learned about how people learn, how to build a positive classroom environment, and how to give feedback.

• Tomorrow we will cover specifics of Carpentries workshops and teaching practices.