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Measuring learning that is hard to measure: using the PECSL model to evaluate implicit smart learning

Crossref DOI link: https://doi.org/10.1186/s40561-022-00206-w

Published Online: 2022-07-22

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lister, Pen https://orcid.org/0000-0002-1071-693X
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Text and Data Mining valid from 2022-07-22

Version of Record valid from 2022-07-22
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Article History

Received: 9 March 2022

Accepted: 14 July 2022

First Online: 22 July 2022

Declarations

:

: The author declares no competing interests.