How to Encourage Lifelong Learning with Technology Enhanced Learning

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Information about How to Encourage Lifelong Learning with Technology Enhanced Learning

Published on June 12, 2019

Author: SebastianDennerlein

Source: slideshare.net

1. © Know-Center GmbH, www.know-center.at How to encourage lifelong learning at work? Sebastian Dennerlein, Dr., Graz University of Technology LAYING THE FUNDAMENT FOR AN AI-LITERATE WORKFORCE AI4GOOD Summit - BT1: AI Education and Learning, Geneva

2. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Learning about AI and Acquiring AI-literacy Leveraging AI-Solutions Requires AI-literacy 2

3. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Status Quo of Workplace Learning 3 Widespread Approach 3 https://www.lynda.com/ https://www.coursera.org/ https://badgeos.org/developers/ https://pixabay.com/illustrations/graduation-certificate-diploma-2663918/ https://www.codlearningtech.org/2015/11/23/5-questions-what-you-need-to-know-about-moocs/

4. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Not learning for the Sake of Learning Gaining Action-Oriented Knowledge via Self-Regulation and Reflection 4 Eraut, M. (2000). Non-formal learning and tacit knowledge in professional work. The British Journal of Educational Psychology, 70(1), 113–36. Eraut, M. (2004). Informal learning in the workplace. Studies in Continuing Education, 26(2), 247–273. Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into practice, 41(2), 64-70. Littlejohn, A., Milligan, C., & Margaryan, A. (2012). Charting collective knowledge: Supporting self-regulated learning in the workplace. Journal of Workplace Learning, 24(3), 226-238. Goal Setting and Actuation is Important (Zimmermann, 2002; Littlejohn, Milligan & Margaryan, 2012) Reflecting on Personal Experience & Received Knowledge is Important (Eraut, 2000/2004)

5. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Technology can help by… 5 Supporting documentation

6. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Technology can help by… 6 Supporting discussion

7. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Technology can help by… 7 Prompting goal setting and reflection Learning Prompt Reflective Prompt

8. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Two Promising Ways to AI-literacy Hands-on Training & Self-Regulated Learning about AI 8 https://commons.wikimedia.org/wiki/File:Two-ways-of-life.png Experiential

9. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 AI Familiy Challenge: 40h of Learning Build 3 types of models to practice Machine Learning training Brainstorm and identify problem in your community Build your invention Hands-on design challenges to introduce foundational concepts (neural networks, sensors) Hands-on Experience in AI, but no relation to working context of mentors! Largest AI-literacy and mentoring program

10. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Two Promising Ways to AI-literacy Hands-on Training & Self-Regulated Learning about AI 10 https://commons.wikimedia.org/wiki/File:Two-ways-of-life.png Contextualization

11. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Leverage Prompts for Goal Setting & Reflection! Bridging Training & Organizational Context 11 Explicate Value of Mentoring to Increase Impact and Motivation 11

12. © Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics • 2019 Most Promising Way to AI-literacy Best to be implemented in combination… 12 https://commons.wikimedia.org/wiki/File:Two-ways-of-life.png Hands-on Training & Self-Regulation

13. © Know-Center GmbH Know-Center GmbH Research Center for Data-Driven Business and Big Data Analytics Inffeldgasse 13/6 8010 Graz, Austria Firmenbuchgericht Graz FN 199 685 f UID: ATU 50367703 gefördert durch das Programm COMET (Competence Centers for Excellent Technologies), wir danken unseren Fördergebern: General Manager office@know-center.at Prof. Stefanie Lindstaedt Teamlead vpammer@know-center.at Viktoria Senior Researcher sdennerlein@know-center.at Sebastian

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