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A conceptual framework for learners self directing their learning

5 slides sharing information on the chapter I wrote for the book "Emerging Technologies and Pedagogies in the Curriculum. It also refers to an early Ethics in AI slide deck, expressing the need and urgency of making AI effects transparent.

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A conceptual framework for learners self directing their learning

  1. 1. A conceptual framework for learners self-directing their learning in MOOCs Inge de Waard (Open University, UK & EIT InnoEnergy, EU) Agnes Kukulska-Hulme (Open University, UK)
  2. 2. Overview
  3. 3. The informal SDL- Framework
  4. 4. SDL in (post) COVID19 MOOCs, microlearning, informal learning, AI in Education … EdTech Learning Ecology Self-Directed Learning capacities across EdTech ecologies Increase SDL Free AI in Ed tool: AI detects skills you have or are lacking (beta release 1 July 2020) https://skillcharge.innoenergy.com/
  5. 5. Equity of Access • Learning resources and impact on mainstream education • Major actions from educational sector to ameliorate social disparities? Ethical layer for AI (AI in Ed (predictive analysis, semi- automated assessments…), AI driven personalisation – commerce driven & filter bubbles, Algorithmic governance (digital technologies produce social ordening), our own moral compass (complex set of cultural & philosophical preferences) Frank Pasquale (law prof) argued, “authority is increasingly expressed algorithmically.” Audrey Waters (fab thinker) wrote “Algorithms —  their development and implementation — are important expressions of power and influence.”
  6. 6. 6 Feel free to contact me • ingedewaard@gmail.com • Twitter: @Ignatia • LinkedIn: https://www.linkedin.com/in/ingedewaard/ • Slideshare: https://www.slideshare.net/ignatia • Google scholar • Academia: https://open.academia.edu/IgnatiaIngedeWaard

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