Using skills and approaches I learned in the MET … I will eventually create a proposal for implementing a learning analytics approach at VCC.
Goal #2
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Format: Articulate Rise Module
Course: ETEC 523 Mobile and Open Education
Large amounts of data are routinely shared between users of technology and the platforms they interact with. Government regulations are struggling to keep up with the challenges that this presents to existing laws around privacy. In this artifact I wanted to examine three possible futures for privacy. I chose Articulate Rise as my platform because of its ease of use, both for content creators and end users. You can see the module below or via this link.
Guiding Theories and Frameworks
Although I was already interested in the ethics surrounding ed tech adoption, taking the MET gave me a broader insight into these issues. Readings such as Kate Crawford’s Atlas of AI (Crawford, 2021) and Safiya Noble’s Algorithms of Oppression (2018) were real eye-openers. Both discuss the challenge for lawmakers and users in adapting to the rapid rise of connected mobile technologies. This challenge is pertinent to my goal, and any adoption of learning analytics at the college will need to take into account the ethical considerations raised by these thinkers and others.
Reflections
Privacy remains an important concern for me. Any implementation of learning analytics will need to make sure that students and faculty are informed at every stage as to how their data will be collected, shared, and used.
In addition, the new BC Digital Literacy Framework includes ethical and legal considerations, and any implementation of learning analytics will need to align closely with this framework.
In the future I may use this resource as a primer for faculty to think more broadly about data privacy, both their own and their students’.