The Future of Assessment is Invisible
Remarkable advancements in machine learning, natural language processing, and data analytics present new possibilities to a well-worn classroom question: what do students know? Educators and students have longed for a better way to demonstrate learning, adapt instruction, and build confidence. Join us to explore the ways in which AI is rendering assessments invisible, reducing stress and anxiety for students, while improving objectivity and generating actionable insights for educators.
Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.
Kristen Huff
Curriculum Associates
Amelia Kelly
SoapBox Labs
Javeria Salman
The Hechinger Report
Nicol Turner Lee
The Brookings Institution