Menu

What “open” will we get at #OpenEd16?

A year ago, I wrote a post about scraping the OpenEd abstracts. As the conference unfolded, there was a sizeable conversation around the amount of “OER-ness” happening at OpenEd. In a subsequent post, I provided a chart which showed how many abstracts contained the word “OER” in which I concluded that this wasn’t a new development for the conference. Below I’ve updated the chart to include this years data.

Year Total Sessions Abstracts Containing “OER” Percent “OER” Abstracts Containing “Textbook” Percent “Textbook”
2012 69 42 60.87 9 8.74
2013 103 67 65.05 27 26.21
2014 100 83 72.17 32 27.83
2015 123 84 68.29 39 31.71
2016 161 115 71.43 57 35.40

According to abstracts, which is obviously all I have to work off of at the moment, it’s very possible that we’ll see the same level of OER discussion that we’ve see over the passed few years. Also consistent is an 11.6% increase in the word “textbook.”

Now it’s important to say that I don’t present this data to necessarily make much a statement about OER but rather to continue to conversation. In fact, I do this out of curiosity more than anything else. I’ve pulled a few of the top abstract terms (plus some) and done a similar simple count.

Count Percentage
Number of Abstracts 161
Open 141 87.58%
OER 115 71.43%
Students 91 56.52%
Learning 88 54.66%
Faculty 66 40.99%
Support 65 40.37%
Access 60 37.27%
Textbooks 57 35.40%
Research 53 32.92%
Open educational resources 51 31.68%
Adoption 42 26.09%
Data 36 22.36%
License 23 14.29%
Pedagogy 18 11.18%
Open Access 17 10.56%
Open Source 14 8.70%
MOOCs 11 6.83%
Open Pedagogy 9 5.59%
Analytics 8 4.97%
Theory 8 4.97%
Open Content 5 3.11%
Open Data 3 1.86%

Abstracts can certainly steer the conversation, but they don’t necessarily dictate them. Inevitably, the conversations will be whatever you wish it to be. Whatever “open” you feel like you prefer, I encourage you to wave your flag proudly. Also, if you would like to look at the data set, here’s the CSV file. You can also play with the data on Voyant Tools.

Featured Image: Open by Late Night Movie via Attribution Engine. Licensed under CC BY-NC-ND.