• Mayo Clinic Educator's Central

  • 著者： Mayo Clinic
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Mayo Clinic Educator's Central

著者： Mayo Clinic
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  • Instructional design and development podcast from Mayo Clinic eLearning Center
    Mayo Clinic
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Instructional design and development podcast from Mayo Clinic eLearning Center
Mayo Clinic
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  • Co-Occurrence #13 – Revisiting and Reexamining a Year of Insights and Innovations: A Retrospective (EP.36)

    Co-Occurrence #13 – Revisiting and Reexamining a Year of Insights and Innovations: A Retrospective (EP.36)
    2024/09/27
    Co-Occurrence #13 - Revisiting and Reexamining a Year of Insights and Innovations: A Retrospective (EP.36) With Multiple Guests In this special episode, host Stacy Craft, revisits and reexamines the enduring themes from the limited series "Co-Occurrence" which focuses on the intersection between education., artificial intelligence, and emerging technologies. Over the past year, we’ve had the privilege of hosting incredible guests who shared their insights and expertise. In this episode, we’ll highlight pivotal moments, discuss overlapping concepts, and revisit some of the most inspiring conversations. Although “Co-Occurrence” is taking a break as a self-contained series, Mayo Clinic Educator's Central remains committed to exploring the important discussions around artificial intelligence in education and emerging technologies. Expect these topics to be seamlessly integrated into our future episodes as these technologies evolve from novel innovations to standard practices in our work and daily lives. This episode is the thirteenth 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 Co-Production: Grazyna Drzazga Audio Edit Support: Jaquan Leonard
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    34 分
  • Co-Occurrence #12 – Empathy and Algorithms: AI’s Role in Social-Emotional Learning (EP.35)

    Co-Occurrence #12 – Empathy and Algorithms: AI’s Role in Social-Emotional Learning (EP.35)
    2024/08/30
    Co-Occurrence #12 - Empathy and Algorithms: AI’s Role in Social-Emotional Learning (EP.35) With Priten Shah, M.Ed. Have you ever wondered how artificial intelligence is impacting your social and emotional skills? In this episode, we delve into the fascinating intersection of AI and social-emotional learning. Join host Stacy Craft and guest Priten Shah, an author and educator, as they explore how AI can compliment, confuse, recognize, interpret, and respond to human emotions. Discover the potential of AI to enhance emotional growth and understanding in educational settings, and the considerations that come with it. This episode is the twelfth 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: Priten Shah Website https://pritenshah.com/ AI for Education: 6 Strategies for Using AI for Social-Emotional Learning Examining the association between emotional intelligence and chatbot utilization in education: A cross-sectional examination of undergraduate students in the UAE Mosleh, Sultan M. et al. Heliyon, Volume 10, Issue 11, e31952 Roth, C. G., Eldin, K. W., Padmanabhan, V., & Friedman, E. M. (2018). Twelve tips for the introduction of emotional intelligence in medical education. Medical Teacher, 41(7), 746–749. https://doi.org/10.1080/0142159X.2018.1481499 Y. Liu, B. Zoghi (2024) AI-POWERED STRATEGIES FOR ALLEVIATING GRADUATE STUDENT BURNOUT THROUGH EMOTIONAL INTELLIGENCE AND WEARABLE TECHNOLOGY, EDULEARN24 Proceedings, pp. 3041-3049. https://doi.org/10.21125/edulearn.2024.0809
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    29 分
  • Co-Occurrence #11 – From Neurons to Networks: Understanding the Biology of Learning and Artificial Intelligence Parallels (EP.34)

    Co-Occurrence #11 – From Neurons to Networks: Understanding the Biology of Learning and Artificial Intelligence Parallels (EP.34)
    2024/06/29
    Co-Occurrence #11 - From Neurons to Networks: Understanding the Biology of Learning and Artificial Intelligence Parallels (EP.34) With Barbara Oakley, Ph.D Our brains are the center of learning acquisition, so understanding the biological neuroscientific processes behind learning is essential to all educators and learners. These processes are mirrored in artificial intelligence models. Understanding the process of both the human mind and the AI mind can help educators craft successful strategies for when and how to leverage emerging educational technologies. Distinguished Professor of Engineering at Oakland University and author Dr. Barbara Oakley joins host Stacy Craft for a compelling exploration on how learning works, the biology behind our learning processes and the ways that AI is mimicking the neuro processes of organic learning. This episode is the eleventh 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 Special thanks to MaryAnne Nestor Audio Edit Support: Jaquan Leonard Additional Resources: Barbara Oakley Website - https://barbaraoakley.com/ Oakley, B., & Sejnowski, T. J. (2021). Uncommon sense teaching: Practical insights in brain science to help students learn. Penguin. Quartz SR, Sejnowski TJ. Beyond modularity: Neural evidence for constructivist principles in development. Behavioral and Brain Sciences. 1994;17(4):725-726. doi:10.1017/S0140525X00036839 Ullman, M. T., & Lovelett, J. T. (2018). Implications of the declarative/procedural model for improving second language learning: The role of memory enhancement techniques. Second Language Research, 34(1), 39-65. https://doi.org/10.1177/0267658316675195 B. Oakley, "Learning How We Learn: In an unlikely confluence, bioengineers are finding fertile ground in research and teaching about learning," in IEEE Pulse, vol. 6, no. 2, pp. 37-41, March-April 2015, doi: 10.1109/MPUL.2014.2386574. keywords: {Learning systems;Biomedical engineering education;Psychology},
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    53 分

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