was not well used or referenced. To lend more support, the task force members also took on the
responsibility of checking in regularly with a set group of prototyping teachers. However, no common
platform existed where participants could meet and share their learning and success stories and this
seems to be a missing piece to the prototype.
In late March 2014, a data scientist, Sujoy Chaudhuri, presented a visualization of the data that was
collected from the journals of the prototypers to the task force. This was a set of preliminary findings
because the prototypers would continue to journal until the end of the school year. The initial results
showed positive attitudes regarding mobile learning in the classroom. In addition to this, the data
scientist, in consultation with the task force, has designed an online application that will make the
capturing of data even easier and can be used on the mobile devices of the prototypers for swift capture
of data for further analysis. The app was sent for review by the prototypers to elicit feedback about the
tool. The feedback was positive and suggestions were made to improve its use in the future.
Analysis of the Journal Data - (This section is written by Sujoy Chaudhuri)
Reflective journals, maintained by 37 participating teachers and teaching assistants over nine months,
were used to gather information on the use of mobile devices within the classroom. Participants were
expected to submit entries weekly, and used templated Google Docs, which contained the following
Share an experience you had using your mobile device this week
What successes or benefits did you observe? Were there any challenges?
What I found really exciting this week was…
One way I personalized learning this week was…
Some challenges that I faced were…
Students benefitted from…
If I could do one thing over it would be...
Analysing the journals would normally have required extensive human intervention for coherent and
consistent coding and analysis. Here we instead used a visual interface to explore journal data using word
collocation networks, attempting to examine the circulation of meaning within this corpus of text.