Teaching with Digital History, Data Mining, & Digital Humanities
DH Box is a tool to help integrate digital humanities into the curriculum. From their homepage: "Setting up an environment for digital humanities computational work can be time-consuming and difficult. DH Box addresses this problem by streamlining installation processes and providing a digital humanities laboratory in the cloud through simple sign-in via a web browser."
The History Engine
From the site: "The History Engine project is first and foremost an undergraduate teaching resource that gives students the opportunity to engage in the process of academic research and share their completed work with their fellow students and researchers from around the country. In this section of the Engine, instructors will find all tools necessary to register to use the site, plan a syllabus, and guide students through the project."
"Introduce Data Mining to Your History Course in 2 Minutes" - by James Smithies
Outlines a learning activity for history students to introduce them to data mining, using https://www.mashape.com/.
"The idea is to present students with a purposefully naive example of data mining, working on the assumption it’ll prompt them to critically engage with data mining as a method."
"There's a (Digital) Outcome for That!" - by Cinthya Ippoliti
From the LITA Blog, 6 Sep 2016. A great post on creating information literacy learning outcomes for digitally inflected assignments. How do you measure student learning in these types of digital projects?
"Critical Data Literacy in the Humanities Classroom" - by Brandon Locke
13 Aug 2018 - "Today I want to specifically focus on the use of data in the humanities classroom—I’ll talk about the 'everyday' uses of data we can map data literacy to, and discuss how we can integrate these data skills into a classroom with limited time for hands-on data work."
salty: Turn Clean Data into Messy Data
"When teaching students how to clean data, it helps to have data that isn’t too clean already. salty is a new package that offers functions for 'salting' clean data with problems often found in datasets in the wild..."