Sunday, 20 November 2016

Competency based `deep learning`

"Proponents of a data-driven, technology-mediated approach to public education see 21st-century learning as a `quest` in which participants diligently work to assemble proof that they’ve obtained the assorted skills and bits of knowledge they need to compete for jobs that pay a living wage."

"By shifting how we think about education - from a human process that happens within a community of learners to a game in which students demonstrate standards and accumulate badges -reformers aim to move much of the K12 education process out of physical school buildings where face-to-face interaction is the primary mode of instruction, and into virtual classrooms, game environments, cultural institutions and work settings. This is how they will attempt to replace neighbourhood schools with learning ecosystems..."

"Widespread adoption of `personalised` digital education platforms underpins the learning ecosystem model, as does reliance on big-data (academic and social-emotional) to guide students on their appropriate workforce `pathway` and reinforce desirable behaviours like `deep learning`. They see children as dynamic sets of skills, competencies and personality traits that can be quantified, sorted, and placed in digital portfolios."

Deep learning has a double meaning: it is used to describe student learning that can be applied in novel ways to different situations, but it is also used in artificial intelligence circles for the algorithms involved in machine learning. That requirers huge datasets but so does the application and tracking of `deep learning` for humans, described above.

Research in one area reinforces the other.

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