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The application of AI in Higher Education

Academia

For instance, AI-powered adaptive learning platforms like CogBooks and Knewton can analyze student performance data in real time, identify knowledge gaps, and provide personalized recommendations for study materials, exercises, and assessments.

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#DevLearn 2012: Kapp Presentation Resources

Kapp Notes

Baylor and Kim (2005) report that in multiple studies with avatars of different gender and race, evidence indicates that students learned significantly more and had significantly greater motivation when working with one motivator and a different expert avatar as compared to working with the just the one mentor avatar. Reference: Baylor, A.

DevLearn 242
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#ASTDTK2013 Resources from ASTD Presentations

Kapp Notes

Baylor and Kim (2005) report that in multiple studies with avatars of different gender and race, evidence indicates that students learned significantly more and had significantly greater motivation when working with one motivator and a different expert avatar as compared to working with the just the one mentor avatar. Reference: Baylor, A.

ASTD 228
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Resources from Training 2013 Conference and Expo #trg13

Kapp Notes

Baylor and Kim (2005) report that in multiple studies with avatars of different gender and race, evidence indicates that students learned significantly more and had significantly greater motivation when working with one motivator and a different expert avatar as compared to working with the just the one mentor avatar. Reference: Baylor, A.

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TechKnowledge 2012 Presentation Resources

Kapp Notes

Baylor and Kim (2005) report that in multiple studies with avatars of different gender and race, evidence indicates that students learned significantly more and had significantly greater motivation when working with one motivator and a different expert avatar as compared to working with the just the one mentor avatar. . & & Kim, Y.

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#ASTDNY Presentation Resources

Kapp Notes

Baylor and Kim (2005) report that in multiple studies with avatars of different gender and race, evidence indicates that students learned significantly more and had significantly greater motivation when working with one motivator and a different expert avatar as compared to working with the just the one mentor avatar. . & & Kim, Y.

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Resources from Learning 3.0 Conference Presentation

Kapp Notes

Baylor and Kim (2005) report that in multiple studies with avatars of different gender and race, evidence indicates that students learned significantly more and had significantly greater motivation when working with one motivator and a different expert avatar as compared to working with the just the one mentor avatar. Reference: Baylor, A.