I started this week not clear what data I will gather from a “teaching with data” point of view especially that I do not work in the educational sector. After some thoughts, I wanted to collect data about myself being a “teacher” capturing my various everyday roles as a mother, friend, work leader and student. After I gathered the data, I decided to use a dial-shaped visualisation to resemble teaching dashboards inspired from this week’s themes. The following is the legend I developed for the visualisation.
Each dial represent a role where I assumed a “teaching” responsibility. The low, medium and high aspects refer to the difficulty of the teaching activity. The main data elements captured are the following :
- The medium: Face to face, voice call or text/emails.
- The location of the taught audience “students”.
- Repetition: capturing if the teaching required repeating (more than once)
The data was captured from Tuesday to Friday of this week. Some of the activities overlapped or they were completed during different hours of the day.
The following is the outcome of the data visualisation.
This week overlapped with a major assignment in Introduction to Social Research Methods course where I spent significant time chatting and on video calls with colleagues to actually learn from each other; thus, it was a co-teaching role.
Reflecting on the data from this week, it is obvious that the major data points came from my work as a leader of a regional team and most activities are about teaching or revising some work, why we do certain requirements/tasks and how to do these tasks. I considered my work activities as a learning exercise from the teams’ perspective since new tasks were discussed, taught, explained and trained on. Another default teaching role is being a mother. There were few interactions and most of them are do’s and don’ts as my kids are older and one is already in the USA studying – that explains the text based teaching/mothering! The funny observation is that my hardest and most repetitive tasks for this week are related to my dog. Teaching a pet certain tasks can be harder than corporate international business!!! Being a mentor on work and relationship matters is a role I cherish and the entries for that role included coaching and advising data points to my friends with one data point exception – one was on teaching how to cook a certain dish.
To conclude, I would like to reflect on Williamson et. al. (2020) core reading for this week regarding the concept of “data double”:
The construction of data doubles in education is especially consequential since anything that is modelled inside the database then affects the potentially life-changing experience of teaching and learning.Williamson, B. Bayne, S. Shay, S. 2020. The datafication of teaching in Higher Education: critical issues and perspectives. Teaching in Higher Education. 25(4), pp. 351-365
If my data were seen by my supervisors at work, would they assume that I have wasted time doing other “tasks” not related to my main job – as there are many overlapping and during “working hours” data? This is a basic reflection of how datafication of the education is also measuring and assessing teachers and conclusions taken towards them might not be accurate and they find themselves defined by data just like technologies / teachers do towards students.