Citation

Using Learning Analytics, Adaptive Learning, Personalized Learning to Enhance Teaching & Learning

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Abstract:

ICEM-USA’s 10th annual graduate student panel discussion is a collaborative session to provide graduate students from all over the world a platform to share their research and practices in emerging technologies. Learning Analytics, Adaptive Learning, and Personalized Learning has been selected as the key discussion topic for AECT 2017. Graduate students in educational technology are frequently the earliest adopters of learning technologies. Their ideas, perceptions, applications, practices, and research are valuable to share with academic communities to shed light on Learning Analytics, Adaptive Learning, and Personalized Learning. Four to six student panelists will be selected from all over the world. A facilitator and four commentators, who are ICEM-USA professional members, will comprise this panel discussion.
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Association:
Name: Leading Learning for Change - AECT
URL:
http://www.aect.org


Citation:
URL: http://citation.allacademic.com/meta/p1258695_index.html
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MLA Citation:

Tu, Chih., Cornell, Richard., McIsaac, Marina S.., Doyle, Robert., Pan, Cheng Chang (Sam). and Yeh, Hsin-Te. "Using Learning Analytics, Adaptive Learning, Personalized Learning to Enhance Teaching & Learning" Paper presented at the annual meeting of the Leading Learning for Change - AECT, Hyatt Regency Jacksonville Riverfront, Jacksonville, Florida, Nov 07, 2017 <Not Available>. 2018-06-18 <http://citation.allacademic.com/meta/p1258695_index.html>

APA Citation:

Tu, C. H., Cornell, R. A., McIsaac, M. , Doyle, R. , Pan, C. and Yeh, H. , 2017-11-07 "Using Learning Analytics, Adaptive Learning, Personalized Learning to Enhance Teaching & Learning" Paper presented at the annual meeting of the Leading Learning for Change - AECT, Hyatt Regency Jacksonville Riverfront, Jacksonville, Florida <Not Available>. 2018-06-18 from http://citation.allacademic.com/meta/p1258695_index.html

Publication Type: Concurrent Presentation
Review Method: Peer Reviewed
Abstract: ICEM-USA’s 10th annual graduate student panel discussion is a collaborative session to provide graduate students from all over the world a platform to share their research and practices in emerging technologies. Learning Analytics, Adaptive Learning, and Personalized Learning has been selected as the key discussion topic for AECT 2017. Graduate students in educational technology are frequently the earliest adopters of learning technologies. Their ideas, perceptions, applications, practices, and research are valuable to share with academic communities to shed light on Learning Analytics, Adaptive Learning, and Personalized Learning. Four to six student panelists will be selected from all over the world. A facilitator and four commentators, who are ICEM-USA professional members, will comprise this panel discussion.


 
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