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A significant difficulty that learning analytics needs to address is the possible return to behaviourism where we make decisions about learning only on observable behaviours of learners. Nonetheless, algorithms define our lives and how organizations interact with us. It’s a data-driven world, and the algorithm reigns supreme.

It’s the boundaries between our various social identities that give us a sense of comfort and security: we can (and often do) project different parts of ourselves in different spaces.

When data about those roles is explicitly captured, boundaries blur at the point of analysis

“context switcher”