July 13, 14 and 15, 2021
No Cost Registration Required For EACH SESSION (opening soon)
July 13, 8:00am-10:30am (Pacific) – Feedback (Register for Feedback Session HERE)
July 14, 1:00pm-3:30pm (Pacific) – Curiosity (Register for Curiosity Session HERE)
July 15, 5:00pm-7:30pm (Pacific) – Reciprocity (Register for Reciprocity Session HERE)
Learning is rooted in what it means to be human. Exploration, curiosity, and feedback both fuel and guide development in humans, as well as in science and analytics. This is a lifelong endeavor for humans. Machines and systems, increasingly required to continue a trajectory of learning, rely on patterns, sequences, consistencies, feedback, and new instruction for their improvement. What similarities in curiosity and learning of humans and machines can be assumed or explored?
Over three days, mediaX thought leaders will share recent insights on important questions:
*In what ways can technological augmentation, simulation, or communication enhance the reciprocity between human and machine learning?
*Toward what outcomes will we aspire for human and machine learning?
*How will the assessment of 21st century human learning be like or unlike the assessment of machine learning in automated systems?
Full Schedule: (All Times Pacific)
Tuesday, July 13, 8:00am-10:30am – Feedback
“The Influence of Culture on Feedback in Learning”
Industry Panel: “Designing Feedback Systems for Digital Instruction”
“New Frontiers for Assessing 21st Century Learning”
Wednesday, July 14, 1:00pm-3:30pm – Curiosity
“A Taxonomy for Curiosity in Humans and AI”
“Limitations for Curiosity and Discovery in Open AI – GPT-3”
Thursday, July 15, 5:00pm-7:30pm – Reciprocity
“How Machines Can Learn From (and Teach) Humans”
Industry Panel: “Teaching AIs to Provide Feedback to Humans”
“Leaky Abstractions for Designing AI Experiences”