What conversations am I engaged in?
Now working full-time from home, studying online, and in lockdown, I was interested to know more about the conversations I was engaged in.
I recorded data about any conversation, defined as a situation where information was exchanged betweeen myself and at least one other person. Again, I kept the number of variables small to make manual recording manageable, and simplified the detail to ensure privacy.
Results and Analysis
The experience of having done this in Week 3 enabled me to focus and not try to record every aspect. I also decided to experiment with my visualisation, go further from ‘graphing’, co-opting a representation from another field, to try to help separate the data from the activity that generated it.
How does this relate to my learning activity?
- Again, the visualisation uses partial, self-reported data and lacks context.
- Again, I am controlling this data gathering. However, this probably had minimal effect: I have little idea of certain patterns being more creditable than others, so am less likely to self-edit. As a student, an automated system may, however, have its own ideas (based on theory, performance of others etc.) and offer nudges, without personal context, possibly steering away from a strategy that works for me.
- Again, considerably more data would be needed to identify trends, although you can see the high use of Teams which replaced on-campus meetings and some use of email.
- Although, some in-depth data on each conversation could have been collected, the actual value (of these conversations) might not be determinable until later, and not related to that data.
- Recording my personal reactions (e.g. satisfaction, targets achieved) is not the only, nor possibly main, measure of success of a conversation (since there are others involved). This is perhaps important, when automated systems may nudge a student towards attaining their goals (as it sees it), but perhaps forgets the behaviours this student contributes towards the cohort.