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Thinking about design ‘thinking’

Dave Snowden

I’ve been thinking about the whole approach we are adopting to design thinking as the Whistler retreat approaches. By distributed I mean using multiple, cognitively, behaviourally and culturally diverse groups working independently of each other (wisdom of crowds) to reduce bias and pattern entrainment as well as to increase the possibility of outlier identification and novelty. . The post Thinking about design ‘thinking’ appeared first on Cognitive Edge.

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The impacts of Data Science, Machine Learning and Artificial Intelligence on Learning and Development

Stephen Downes: Half an Hour

These areas help is in upskilling, instructional design, instructon, coaching, more. There are three main types of machine learning: supervised learning, where you provide lables or tags with the data, and the computer learns to identify unlabled data unsupervised learning, where we don't have lables in the data we provide, where the machine tries to find patterns, clusters or similarities in the data, which it then uses to classify everything else reinforcement learning - eg.

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Educational Research in Learning Technology

Stephen Downes: Half an Hour

There is no end to the number of papers that argue that we should abandon behaviourist theories and instead adopt newer and mostly constructionist theories of mind. I think the key point here is to note that not everything is designed to increase test scores. 2019) which caught my eye.

Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

To become a nurse is, for example, to adopt as a personal code the ethical norms and values that define that particular profession. And, as he notes, ““There is one and only one social responsibility of business – to use it[s]resources and engage in activities designed to increase its profits so long as it stays within the rules of the game, which is to say, engages in open and free competition.” Automated fakes detection systems are becoming more widely used (Li and Lyu, 2019).