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dc.date.accessioned
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2019-04-09T15:08:20Z
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2019-04-09T15:08:20Z
dc.date.issued
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2017
dc.description.abstract
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If you search online for what personalized learning is, you’ll find dozens of definitions.This lack of a common language to describe an emerging idea can hamper understanding, acceptance, and effective implementation. Compounding this are the several terms for personalized learning approaches that are, at times, used interchangeably, including individualized, differentiated, and adaptive. Yet, as personalized learning as an approach for meeting the varying needs of an increasingly diverse learner population has gained traction in the education community, definitions are emerging with more similarities than diferences.
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Submitted by Jessie Fischer (jfischer@digitalpromise.org) on 2019-04-09T15:08:20Z
No. of bitstreams: 1
Research-Promise-Personalized-Learning-2017.pdf: 916490 bytes, checksum: 376e148dc68dcdabe1a4dafa968530df (MD5)
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Made available in DSpace on 2019-04-09T15:08:20Z (GMT). No. of bitstreams: 1
Research-Promise-Personalized-Learning-2017.pdf: 916490 bytes, checksum: 376e148dc68dcdabe1a4dafa968530df (MD5)
Previous issue date: 2017
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http://hdl.handle.net/20.500.12265/13
dc.language.iso
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en_US
en_US
dc.publisher
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Digital Promise
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dc.relation.ispartofseries
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Making Learning Personal for All;2
dc.subject
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learner variability
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Research and the Promise of Personalized Learning
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dc.type
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Technical Report
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