Demystifying AI Literacy: A Pathway to Empowered Skill Development | Amanda Bickerstaff
00:00 From teaching music to designing scenarios
03:00 What is branching scenario design?
06:55 Branching scenario example
12:34 Branching scenarios for inclusive leadership
19:27 Common challenges of branching scenario
22:41 Scenario design for learning?
25:55 Leverage AI to design branching scenarios
30:11 Risk of losing humanity overusing AI
32:34 Timing for branching scenarios
34:10 Christy's MAGIC
💕 Story Overview
Amanda, the founder and CEO of AI for Education, discusses the importance of AI literacy in education and the potential of AI to personalize learning. She emphasizes the need for educators and organizations to understand the capabilities and limitations of AI and to use it in an ethical and responsible way. Amanda also highlights the biases and cultural limitations present in AI models and calls for the development of more representative and diverse training data sets. She encourages workplace learning and leadership development to prioritize AI literacy and to approach AI implementation with a problem-solving mindset.
Takeaways
AI literacy is crucial in skill development to understand the capabilities and limitations of AI and to use it in an ethical and responsible way.
AI has the potential to personalize learning by considering students' individual needs, interests, and learning styles.
There is a need for more representative and diverse training data sets to address biases and cultural limitations in AI models.
Workplace learning and leadership development should prioritize AI literacy and approach AI implementation with a problem-solving mindset.
Amanda's magic?
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AI literacy for learning development leaders: https://youtube.com/shorts/Khygy8vJH6o
Impact of AI on education: https://youtu.be/V9DnSIgblaw
Use AI to extend thinking (not replace): https://youtube.com/shorts/1QZVF2ioFn8
AI strategies for L&D leaders: https://youtu.be/JvsHxKR2uUs
Bias and need for a more inclusive AI database: https://youtube.com/shorts/05B-0Tsywvg
Importance of diverse representative AI Data: https://youtube.com/shorts/Mv4b59myiug
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Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.
Long, D., & Magerko, B. (2020, April). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-16).
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509.
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Amanda is the Founder and CEO of AI for Education. A former high school biology teacher and edtech executive with over 20 years of experience in the education sector, she has a deep understanding of the challenges and opportunities that AI can offer. She is a frequent consultant, speaker, and writer on the topic of AI in education, leading workshops and professional learning across both K12 and Higher Ed. Amanda is committed to helping schools and teachers maximize their potential through the ethical and equitable adoption of AI.
https://www.linkedin.com/in/amanda-bickerstaff-edu/
Disclaimer
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