I started by collecting the data from one Grade 6 and one Grade 9 class over a two-month period. Each
time students had a PE or health class they would place magnets on the whiteboard to provide the data
I was looking for. Their responses were anonymous and individual response threads were not collected.
Two months into this experimenting with wellness data, I am unable to draw any firm conclusions.
However, some interesting patterns have emerged.
The first notable pattern that surfaced was the
amount of time students slept. Grade 6 students were
far more likely to get at least 7 hours sleep, with up to
a third of students indicating they had 9 or more
hours sleep the night previous. On the other hand,
Grade 9 students were more likely to come to school
with less than 7 hours sleep, and not one student
identified that they had had more than 9 hours sleep
the night before.
The second pattern I noticed was that the grade 6
data looked different than the grade 9 data. The
Grade 6 students’ responses were scattered and
divergent, than the Grade 9 students’ responses
which were more clumped and convergent.
Is the 6th grade data a more honest representation of their feelings, potentially indicating that the
students felt safe to answer the questions truthfully? Were the 9th grade students influenced by their
peers when responding at the whiteboard? Did class dynamics impact how students felt about
responding to the questions?
After taking time to reflect on the data and the experience of gathering wellness data so far, next steps
for exploring data are beginning to take shape.
Individualization, being able to use the data to individualize and customize instruction was a key aspect
used in my original question. I can’t answer that question yet. While gathering information from a class
as a whole is in itself useful, there are bigger insights to be gained from analyzing the data from an
individual standpoint. What if we could connect students’ data to focus on a single student’s data to see,
for example, if a drop in grades is related to a rise in stress levels, or a decline in the amount of sleep?
How the data is used could also be vastly improved. During this initial period, lesson plans were adjusted
to suit work preferences only, such as working in a group or individually. But the data was only collected
at the beginning of the lesson, leaving potential changes to classes somewhat constrained by time. What
if the daily data was available to teachers before class started? Or what if it was available for students to