Professor Mark Brackett discusses a new framework for helping students manage their emotions. He explores the roles of emotional regulation and intelligence, showing how educators benefit from understanding and teaching these concepts. He explains the difference between emotions, feelings, and moods, and how personality traits influence emotional responses. The discussion also touches on the impact of AI on emotional skills, the importance of early education in developing emotional intelligence, and practical strategies for emotional regulation.

Follow on X: @marcbrackett @sparvell @jonHarper70bd @bamradionetwork

Resources: Dealing with Feeling – Marc Brackett | http://aka.ms/SEL

Marc Brackett, Ph.D., is the founding director of the Yale Center for Emotional Intelligence and a professor in the Child Study Center at Yale University. His research focuses on the role of emotional intelligence in learning, decision making, creativity, relationships, health, and performance. He has published over 150 scholarly articles, received numerous awards, and is featured regularly in popular media outlets such as the New York Times, Good Morning America, CBS This Morning, and The Today Show. Marc serves on a number of boards, including the Collaborative for Academic, Social, and Emotional Learning (CASEL), the nonprofit that founded the field of social and emotional learning (SEL). Marc also consults regularly with corporations, including Facebook, General Electric, Google, Microsoft, and Pinterest, on integrating emotional intelligence principles into employee training and product design, and is co-founder of Oji Life Lab, a digital emotional intelligence learning system for businesses. Marc is the author of Permission to Feel: Unlocking the Power of Emotions to Help our Kids, Ourselves, and our Society Thrive, published by Celadon (Macmillan), which is being translated into 15 languages. His new book is Dealing with Feeling.

In this conversation, Mark Sparvelle and Professor Dr. Michael Gerlich discuss the impact of AI on critical thinking and cognitive processes. They explore the concept of cognitive offloading, where individuals rely on AI for decision-making, potentially diminishing their ability to think critically. The discussion highlights the importance of fostering critical thinking in education, the convenience of generative AI, and the need for a balance between efficiency and human skills in the age of AI. Gerlich emphasizes the necessity of training future generations to avoid the confidence trap, where individuals with lower self-confidence are more likely to trust AI outputs without scrutiny.

Prof. Dr. Michael Gerlich, Ph.D., MBA (University of Cambridge) is the Head of Center for Strategic Corporate Foresight and Sustainability / Head of Executive Education and Senior Faculty at SBS Swiss Business School. Besides, his responsibility as Head of Center for Strategic Corporate Foresight and Sustainability he leads the Executive Education Program of SBS. In addition, Prof. Dr. Gerlich teaches several business and management courses in our MBA, Master and Bachelor programs. Besides his teaching activities he supervises DBA students. For more than 25 years, he has worked as an adviser to the President and the Prime Minister of Kyrgyzstan, the Cabinet of Ministers in Uzbekistan and various Ministers for economic affairs in Azerbaijan, in addition to holding leading positions within GIZ / KfW (the German Development Bank) ,the International Finance Corporation and the private sector.

In this conversation, Jake Hoffman, a senior principal researcher at Microsoft, discusses the intersection of AI, cognition, and education. He explores how machine learning has evolved, the importance of augmenting human cognition with AI tools, and the impact of these technologies on student learning and productivity. Key findings from research on AI’s role in education highlight the effectiveness of tutoring support and the significance of learning strategies that promote long-term retention. The conversation also delves into the productivity effects of generative AI and how these tools can enhance critical thinking and decision-making in educational settings.

Follow on Twitter: @sparvell | @jonHarper70bd @MicrosoftEDU @bamradionetwork

Related Resources: AI for education: Resources and learning opportunities

Jake Hofman is a Senior Principal Researcher at Microsoft Research in New York City(opens in new tab), where his work in computational social science involves applications of statistics and machine learning to large-scale social data. Prior to joining Microsoft, he was a member of the Microeconomics and Social Systems group at Yahoo! Research. Jake is also an Adjunct Assistant Professor of Applied Mathematics at Columbia University, where he has designed and taught classes on a number of topics ranging from biological physics to applied machine learning. He holds a B.S. in Electrical Engineering from Boston University and a PhD in Physics from Columbia University.