The focus of this week was to record data on different platforms or sites I visited during the week, the purpose of my visit, and the mode of engagement. The data was recorded over a six days period to be able to capture as many entries as were possible.
In order to enhance the readability of the visualization, I was selective of the platforms from which I recorded data, and I also grouped the purpose for visiting the platform in a way that I can be able to capture as many as possible and finally I recorded the mode of engagement as this can inform teaching plans for especially teachers using digital technologies and tools during teaching.
This week I decided to test how different events impacted my learning. I knew from the beginning that it was going to be a very eventful week, hence I capitalized on that and tried to do my analysis around this fact. Considering the fact that this was my birthday week, my sibling’s graduation, and my relocation to a new house I knew it was definitely going to have a toll on my learning. Hence I decided to record data to investigate how the different events and my emotions at different times will impact my productivity. Most of the events were towards the end of the week and others spread across the week so it was easy to have valuable data to record all through situs slot gacor.
To properly understand what was going on I tracked my academic engagements and what event was distracting me during my engagement in that particular event. I decided to represent the activities as follows:
Downward and upward cone to represent the learning activities
Sun moon and star represent birthday, relocating, and graduation respectively.
The greater than, less than and, equal to signs represent high, low, and moderate productivity respectively.
I used different emojis to represent different emotions. This was an attempt to datafy and personalize my learning to a degree.
The visualization did not give an explicit correlation between my emotions and my productivity is given a particular event.
If it was hard for me to link my emotions and their impact on learning I wonder how a machine will achieve this
I had assumed that if am tired and frustrated I would definitely perform low but I was surprised that it was not the case. This shows me that sometimes not so positive emotions do not necessarily have a negative impact on learning
Also, I found that just because one is happy or calm does not mean they will have high productivity
In relation to emotions and events, I realized that positive emotions were mostly linked with my birthday events. This showed the value of the individual
Over the last three weeks, I have been engaged in a series of data collection and analysis to make sense of how I learn and the different factors and behaviors that might have influenced my learning dynamics. The goal was to use this data tracking approach to understand my learning style in a more personalized way keeping privacy in mind. (Bulger, 2016).
The data visualization for week 4 was aimed at recording and keeping track of all learning activities engaged in this week. I also wanted to understand how much time I spent on an activity, and how that time was influenced by the preceding activity, and my motivating factor.
During the data collection process, I realized tracking the exact duration of activity was challenging due to work and family distraction hence I categorized the duration into three as demonstrated by the legend.
Objectification of the elements of the visualization
I decided to use three main colors to represent the kind of motivation that led me to engage in the activity and to some extent how I felt about that particular activity
Green Color – This indicated that it was self-initiated activity and I was in high spirit and ready to engage with it.
Red Color – This indicated that I saw the activity more like a requirement and it was a burden to engage with it
Blue Color – This indicated that I was calm and encourage to participate in the activity. I was relaxed and felt I could do it at my own pace.
For the preceding activities, I decided to use images that could best visualize the specific act.
Pot: To illustrates that I had just spent some time in the kitchen cooking a meal
Pillow: To illustrates that I had just spent some time resting
Shower: To illustrates that I was bathing prior to engaging with my school activity
Soccer Ball: Illustrates engagement in some sporting activity in the garden
Findings from the visualization
From the visualization, I observed that over 80% of my activities were either perceived as self-initiated or encouraged. This says a lot about my learning in the sense that I tend to work better in a high spirit and relaxed space of mind. Also in terms of engagement duration, It was interesting to note that despite my high spirit, calm, and encouraging space for learning, the duration of activity was mostly under two hours. I only went over when it was extremely vital. I am curious as to whether this is as a result of my concentration span or level of satisfaction at the time of completion of an activity.
Possible metrics to measure in future
What are my emotional state at the beginning and the end of an activity? What is my level of satisfaction upon completion of a task and how my emotions influence this? How much of my learning activity is internet dependent?