Adaptive Learning Based On Cognitive and Learning Science From Carnegie Mellon

Concurrent Session 2

Brief Abstract

New approaches to instructional design, combined with learning data and predictive analytics can help determine a student’s knowledge state and find the best path to achieve mastery, making learning more efficient and saving educators time.

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Presenters

Eric is passionate about finding ways to pair great teachers and smart technology to help every student realize their fullest potential. He has worked in executive roles at Cengage and Pearson and was co-founder and President of Flat World Knowledge, the world’s first commercial higher education open textbook publishing company. Flat World Knowledge raised over $30 million in venture capital and has over 3,000 faculty and 500,000 student users. Eric is a frequent speaker on innovation in education, and his work to make education more accessible and affordable while maintaining quality has been widely covered in media outlets including the New York Times, Wired, US News & World Report, Fast Company, NPR, Time, and others. Eric is an advisor to the non-profit Center for Education Technology in Tel-Aviv.

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Extended Abstract

New approaches to instructional design, combines with learning data and predictive analytics can help determine a student’s knowledge state and find the best path to achieve mastery, making learning more efficient and saving educators time.

In this session, see how Acrobatiq, an early stage-start up from Carnegie Mellon University is using content, data, design and technology to generate actionable information about each students’ learning state. In addition, learn how educators and instructional design teams are collaborating using new online curriculum development tools to create highly effective learning experiences for students grounded in the latest research from learning science.