eventWorkshop
Speakers
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Executive Director, Stanford Accelerator for Learning
Senior Manager of Research Collaborations
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In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
Starting at 8:30am
How will AI models that can generate text, images, audio, video and code change what students need to learn and the instructional processes that guide their learning? Do we need generative models designed specifically for educational purposes?
Group Discussions
15 minutes
How will AI enriched classrooms be different from those in today’s schools? How will AI change the roles of teachers and the interactions among teachers, students, and learning resources? How will we be able to determine whether AI is being used effectively to enhance teaching and learning?
Group Discussions
35 minutes
How can Stanford researchers partner with education and technology companies to develop and evaluate innovative AI applications that will reach many students and educators? How can the research and business expertise and roles complement each other to achieve shared goals?
Event attendees will have the opportunity to brainstorm and collaborate in eight different areas of research within AI & education (listed below). Each breakout group will be one of the eight themes, with discussions being facilitated by Stanford faculty. There will be two rounds, giving event attendees the chance to have a discussion in two different focus areas.
Research Topics:
Creativity and AI
NLP and Education
Equity
Teaching AI; AI Literacy
Learning differences and AI
Learning beyond schools and AI
How could AI be detrimental to students and teachers?
AI and the Workforce: New precision for pathways in education and work
15 minutes
Event attendees will have the opportunity to brainstorm and collaborate in eight different areas of research within AI & education (listed below). Each breakout group will be one of the eight themes, with discussions being facilitated by Stanford faculty. There will be two rounds, giving event attendees the chance to have a discussion in two different focus areas.
Research Topics:
Creativity and AI
NLP and Education
Equity
Teaching AI; AI Literacy
Learning differences and AI
Learning beyond schools and AI
How could AI be detrimental to students and teachers?
AI and the Workforce: New precision for pathways in education and work
How can we optimize the potential of AI, as well as mitigate the concerns about biases, inequities, misinformation, deepfakes, security, privacy and misuses of AI in order to fairly, safely, and productively use AI for teaching and learning? How can we prepare educators, parents and students to understand the potential and address these risks?
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