Algorithms and Analytics: Connecting the Learner and the Learning

Stanford, California Oct 23 8:30 am all day - Pacific Time (US & Canada)

Price: $51 to $250


Measuring, analyzing, and reporting data about learners, learning experiences and learning programs have all contributed to understanding and optimizing learning experiences.

A wide variety of new media, tools and practices in education continue to expand options for measuring attention and engagement in sensory experiences, as well as learners’ physical, cognitive and emotional responses. These frontiers are moving forward quickly.

To better accomplish learning – both personalized and at scale – many of these measurements, and the feedback they provide, are being instrumented and automated. Even with the consideration of integrative competencies such as critical thinking, decision making and grit in learning objectives, the algorithms driving many learning analytics are yet based primarily on objective functions that derive mainly from content mastery goals.

It’s time to carefully examine which indicators of learning are most meaningful. And which can be used ethically in algorithms for personalized learning and for learning at scale. And how data can be tagged for open exchange.

Join us at Stanford on October 23rd as experts and members in the mediaX community explore the frontiers of learning algorithms and analytics that connect learners with learning.

1. Measuring what matters in learning 2. Designing learning experiences and algorithms for conversation 3. Developing metatags for open exchange

Algorithms and Analytics: Connecting the Learner and the Learning

CERAS 101
520 Galvez Mall
Stanford, California

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