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).
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One reply on “End of Block Reflection”
A thoughtful and engaged set of reflections on the first block of this course. You are clearly engaging with the course readings and using these to explore and expand your understanding of data in education. What I especially like is your attention to things that are ‘unmeasurable’, or the degree of complexity-reduction that has to happen to capture learning in quantifiable formats that machines can read. It would be good to see you querying some of the seemingly ‘common sense’ concepts used in education, such as ‘learning styles’, in future posts. Also, I was taken with your idea about combining data and personal perception. To my mind, data visualizations can really affect human perception — they shape how we interpret things through the selection of the data, the design choices, and so on. I wonder if that affects how learners might perceive their own learning, or how teachers might perceive the learners in their care, and with what effects?