Mayo Clinic Educator's Central Mayo Clinic

Co-Occurrence #8 - Emotion is the Highlighter of Learning: Using Reflection and Artificial Intelligence (AI) to Create Meaningful Learning Experiences  (EP.31)

With Leticia Britos Cavagnaro Ph.D.

How can we use artificial intelligence (AI) to enhance learning and reflection? What are the benefits and challenges of using "AI bots", generative AI, and other emerging technologies in education? How can we foster a culture of curiosity and experimentation among educators and learners in the face of rapid technological change?  Author, AI Experimenter, and Assistant Professor at Stanford University's d.school, Dr. Leticia Britos Cavagnaro, joins Stacy Craft on this episode and shares her insights and experiences on reflection as a practice, a process, and a skill that can help learners make sense of their experiences as well as the possibilities AI is producing for new pathways to meaningful learning experiences. The discussion also explores using AI to facilitate reflection, and the importance of designing AI tools that are ethical, transparent, and aligned with the pedagogical goals, and concerns and considerations around AI.



This episode is the eighth installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways.







Questions? Feedback? Ideas? Contact us at edufi@mayo.edu



Audio Edit Support: Jaquan Leonard

Additional Resources:

Books:



Experiments In Reflection, by Leticia Britos Cavagnaro



d.school books series



The Art of Changing the Brain, by James Zull



Immordino-Yang, M. H. (2016). Emotions, learning, and the brain: Exploring the educational implications of affective neuroscience. W. W. Norton & Company.



Articles and Workshops:



Stella Collins LEARNS/LEARNERS Framework



Reflecting with AI: A Tool to Develop Human Intelligence, by Leticia Britos Cavagnaro



Human-AI Collaboration: Establishing ‘Rules of Engagement’, by Leticia Britos Cavagnaro



MIT report on generative AI in K-12 education



The Ethical Explorer Pack from The Omidyar Network



d.school Teaching and Learning Studio workshops (June and July 2024)



Research/Scholarly Articles:



Deslauriers, L. et. al. (2019) Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom.



Guzik, E.E., Byrge, C., Gilde, C. (2023) The originality of machines: AI takes the Torrance Test. Journal of Creativity, Volume 33, Issue 3



Dell’Acqua, F. et al. (2023) Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business School Technology & Operations Mgt. Unit Working Paper No. 24-013

Co-Occurrence #7 - Bridging the Distance in Generative AI and Education: From Productivity to Learning to Ethics and Creativity  (EP.30)

With Stephanie Moore, Ph.D.

How can we as learners, educators, and instructional designers use AI tools in imaginative and innovative ways to enhance productivity, compliment creativity, support must have like learner diversity and accessibility all while ensuring ethical and responsible use, critical thinking amongst learning designers and learners as well as balancing between productivity and learning? Author and Assistant Professor in Organizational, Information, and Learning Sciences at the University of New Mexico, Dr. Stephanie Moore joins Stacy Craft on this episode for a comprehensive and insightful discussion of the impact of AI and education. The discussion also covers how generative AI tools can be used in ethical and effective ways by educators and learners.



This episode is the seventh installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways.







Questions? Feedback? Ideas? Contact us at edufi@mayo.edu



Audio Editor: Jaquan Leonard



Special Thanks to Elissa Hall, Ed.D. and Adria Hoffman Ph.D.

Additional Resources:

Moore, S., Hedayati-Mehdiabadi, A., Law, V., & Kang, S. P. (2023). The Change We Work: Professional Agency and Ethics for Emerging AI Technologies. TechTrends, 1-10.



Xiang Qi, Zheng Zhu, Bei Wu, The promise and peril of ChatGPT in geriatric nursing education: What We know and do not know,

Aging and Health Research, Volume 3, Issue 2, 2023, 100136, ISSN 2667-0321, https://doi.org/10.1016/j.ahr.2023.100136



The AI chat app being trialed in NSW schools which makes students work for the answers. (2024, February 12) The Guardian

Co-Occurrence #6 - The Zen of Never Being Up to Speed: Embracing and Adapting to AI and Emerging Tech  (EP.29)

With Scott Doorley, MA., Stanford d.school

How do we navigate the relentless newness of emerging technologies? How do educators foster a culture of curiosity, exploration, and innovation? How do we increase our adaptability and ability to respond to all of this?  In this episode Stanford University d.school Creative director, writer, and designer Scott Doorley, joins us to delve into the challenges and opportunities presented by the rapid pace of technological change. Our discussion explores he impact of emerging technologies on education, society, and the way we think. We also unpack what's below the surface as we grapple with this new era as well as the importance of critical thinking, reflection, and adaptability in navigating this rapidly changing landscape.



This episode is the sixth installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways.







Questions? Feedback? Ideas? Contact us at edufi@mayo.edu



Audio Editor: Jaquan Leonard

Additional Resources:



Doorley, S., Carter, C., & Stanford d.school. (2024). Assembling tomorrow: How to design for collective creativity. Penguin Random House

Terry, O. K. (2024). How to teach online courses effectively: A guide for instructors. The Chronicle of Higher Education. https://www.chronicle.com/author/owen-kichizo-terry

Co-Occurrence #5 - AI is Here to Stay: Hype, Humanity, and Health Professions Education (EP.28)

With Eric Gantwerker, MD, MMSc (MedEd), FACS, AFAMEE 

Artificial intelligence (AI) is not only transforming the field of medicine, but also the way we learn and teach it. In fact, AI is evolving the world of all education professionals, both inside and outside of health professions. In this episode, Zucker School of Medicine at Hofstra/Northwell  Associate Professor of Otolaryngology  and Pediatric Otolaryngologist at Northwell Health, Eric Gantwerker, MD,  shares his insights on how AI is reshaping medical education, from the basics to the cutting-edge, from the classroom to the clinic, and from the individual to the collective. Our discussion also explores a variety of important topics including how AI can enhance our learning experiences, foster our creativity, and personalize our learning paths as well as discussions on how to  address the challenges and opportunities that AI brings, such as ethical, social, and technical issues.



This episode is the fifth installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways.







Questions? Feedback? Ideas? Contact us at edufi@mayo.edu



Audio Editor: Jaquan Leonard



Special Thanks to Elissa Hall, Ed.D. and Adria Hoffman Ph.D.

Additional Resources:



Lingard L. Writing with ChatGPT: An Illustration of its Capacity, Limitations & Implications for Academic Writers. Perspect Med Educ. 2023 Jun 29;12(1):261-270. doi: 10.5334/pme.1072. PMID: 37397181; PMCID: PMC10312253.

Co-Occurrence #4 - The Future is Now: How VR and AR are Revolutionizing Medical and Health Sciences Education (EP.27)

With Ryan Kingsley, MPAS, P.A.-C.

Virtual reality and Augmented Reality are among some of the most exciting technologies that are revolutionizing the innovation possibilities within our learning landscape today. These cutting edge technologies, VR and AR, along with rapidly changing and growing AI capabilities, are having transformative impacts on health science and medical education. In this episode, Mayo Clinic College of Medicine and Science Assistant Professor of Medical Education, Ryan Kingsley, MPAS, P.A.-C., shares his insights into using these technologies in education -drawing on the spirit of innovation, real life examples and visions for the future.



This episode is the fourth installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways.







Questions? Feedback? Ideas? Contact us at edufi@mayo.edu



Audio Editor: Jaquan Leonard

Additional Resources:



Gan, W., Mok, TN., Chen, J. et al. Researching the application of virtual reality in medical education: one-year follow-up of a randomized trial. BMC Med Educ 23, 3 (2023). https://doi.org/10.1186/s12909-022-03992-6

Abhimanyu S. Ahuja, Bryce W. Polascik, Divyesh Doddapaneni, Eamonn S. Byrnes, Jayanth Sridhar, The digital metaverse: Applications in artificial intelligence, medical education, and integrative health, Integrative Medicine Research,Volume 12, Issue 1,

2023, 100917, ISSN 2213-4220, https://doi.org/10.1016/j.imr.2022.100917.

Henry Matovu, Dewi Ayu Kencana Ungu, Mihye Won, Chin-Chung Tsai, David F. Treagust, Mauro Mocerino & Roy Tasker (2023) Immersive virtual reality for science learning: Design, implementation, and evaluation, Studies in Science Education, 59:2, 205-244, DOI: 10.1080/03057267.2022.2082680

Breining, G., By, Breining, G., & 28, Aug. (2018, August 28). Future or fad? virtual reality in medical education. AAMC. https://www.aamc.org/news/future-or-fad-virtual-reality-medical-education

Co-Occurrence #3 - Grappling with Bias in AI: How are You Inspiring a Critical Mindset? (EP.26)

With Tacita Morway (she/her)

How can we mitigate the biases present in Generative AI? What role do we play in shaping a more equitable outcome? In this episode, Tacita Morway, Textio's Chief Technology Officer, weighs in to share her insights on bias in AI, the importance of critical thinking, and using your fears as a roadmap to discovery.



This episode is the third installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways.







Questions? Feedback? Ideas? Contact us at edufi@mayo.edu



Audio Editor: Jaquan Leonard

Additional Resources:



Guvvala, Sujitha. “Bias Mitigation in Generative AI.” Analytics Vidhya. N.p., 12 Oct. 2023.

Manyika, James. “What Do We Do about the Biases in AI?” Harvard Business Review. N.p., 17 Nov. 2022.

Landers, R. N., & Behrend, T. S. (2023). Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models. American Psychologist, 78(1), 36.

Buslón, N., Cortés, A., Catuara-Solarz, S., Cirillo, D., & Rementeria, M. J. (2023). Raising awareness of sex and gender bias in artificial intelligence and health. Frontiers in Global Women's Health, 4.

Ferrara, E. (2023). Should chatgpt be biased? challenges and risks of bias in large language models. arXiv preprint arXiv:2304.03738.

Shiroma, Mauricio. “Critical Thinking – the Bias Battle | Cambridge English.” World of Better Learning | Cambridge University Press. N.p., 7 Sept. 2022.

Synder, K., Textio Blog: Mindful AI: Crafting Prompts to Mitigate the Bias in Generative AI - 2023.