My precious

I am someone who just has to have a knick-knack box. I have always had one since, well, as far as I remember. Much of that compulsion has now gone digital. I see my Tumblr page in particular as my virtual knick-knack box and treasure it more than any other spaces I have carved out in this vast digital world.

My only complaint, however, is about its search function. It sucks. So this post is to move one of my collections from there to here for easier navigation. I have collected quite a few ‘pedagogical gems‘ over the past couple of years. <puffed with pride>

Learning Theory (crossposted 7 Feb 2016)

Course Workload Estimator (Center for Teaching Excellence, Rice University)

Learning Designer (UCL)

Rubistar: Create rubrics for your project-based learning activities (via ALT, 23 May 2019)

Cognitive bias cheat sheet (crossposted 4 December 2016)

Media Theorised (crossposted 25 March 2017)


E-International Relations

An Illustrated Book of Bad Argument (crossposted 27 December 2013)

Theoretical Framework (Rockinson-Szapkiw, n.d.; see also: RT @dakami
I think this maps to time. Theoretical frameworks talk about how we got here. Conceptual frameworks discuss what we have. Analytical frameworks discuss where we can go with this. See also legislative/executive/judicial, 28 September 2018)

Tea Consent (Blue Seat Studios, as part of a campaign by Thames Valley Police, 12 May 2015)

A timeline of earth’s average temperature (xkcd, 2016)

Timeline Tools (Florian Kräutli, 8 April 2016)

DH101: A highly opinionated resource guide by Miriam Posner (crossposted 30 June 2017; see also a series of technical tutorials that she has written)

Tidy data for the humanities (Matthew Lincoln, 26 May 2020)

How we helped our reporters learn to love spreadsheets (Lindsey Rogers Cook, The New York Times, 12 June 2019)

Final list of keywords for digital pedagogy in the humanities: Concepts, models, and experiments (edited by Davis et al., 2017, via @miriamkp)

How to choose a research method (Eva Nedbalova, NCRM, 2017)

Which stats test (crossposted 15 June 2017)

Discovering Statistics (crossposted 7 February 2014)

Decoded: The “how” behind the numbers, facts and trends shaping your world (Pew Research Center)

Spurious Correlations (Tyler Vigen)

Seeing Theory (crossposted 1 March 2017)

Data Viz Project (Ferdio, 2017)

One Dataset, Visualized 25 Ways (crossposted 6 February 2017)

Fundamentals of Data Visualization (Claus O. Wilke, free e-copy of a forthcoming O’Reilly Media book)

Fundamentals of Gephi (Alan Shaw, 2018)

Introduction to Social Network Methods (Robert A. Hanneman & Mark Riddle, 2005)

How to use network analysis to explore social media and disinformation (Carlotta Dotto, First Draft, 9 July 2020)

An intro to topic models for text analysis (Patrick van Kessel, Pew Research Center, 2018)

The Philosopher’s Web (via Open Culture, 20 October 2017; see also 14 July 2016 and 25 July 2013)

How to get that pdf (via @elotroalex [Super useful list of #openaccess strategies to help you find that PDF, including sci-hub (with the legal caveat, of course)], 2 March 2018)

Dissertation Calculator (University of Minnesota Libraries)

How to write an article in no time (Anthony C. Ocampo)

How to make a Gantt chart in 5 minutes or less (TeamGantt, via @ubiquity75)


And to the makers of these — I heart you.

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