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Friday
Oct 21st, 2011
8:30 AM - 9:20 AM
Meeting Room 114
Eastern Time
Educators and administrators face difficult choices in response to calls for greater accountability and improved completion rates. Learning analytics can illuminate complex situations and help identify at-risk learners. Analytics, when coupled with open educational resources, the semantic web, and personal and adaptive learning content, suggest the prospect of systemic change. With the use of recommender systems, social networks analysis, discourse analysis, and activity trails, existing course models of learning may have a limited future. This discussion-oriented session will begin with a review of current learning analytics in higher education and explore future trends and directions. We will solicit input from participants, particularly in relation to concerns around learning analytics and barriers organizations face in their adoption.
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LMS analytics alone are insufficient; must be combined with data from other nodes to be effective. -@gsiemens #E11_FS16 #edu11

Waiting for #E11_FS16 to start. And in @gsiemens honor, for the first time at #edu11 I am not in an aisle seat.

Where are the slides?


Comments

LMS analytics alone are insufficient; must be combined with data from other nodes to be effective. -@gsiemens #E11_FS16 #edu11

Waiting for #E11_FS16 to start. And in @gsiemens honor, for the first time at #edu11 I am not in an aisle seat.

Where are the slides?

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