Measuring learning that is hard to measure: using the PECSL model to evaluate implicit smart learning
Abstract This paper explores potential ways of evaluating the implicit learning that may be present in autonomous smart learning activities and environments, reflecting on prior phenomenographic research into smart learning activities positioned as local journeys in urban connected public spaces. Im...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-07-01
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| Series: | Smart Learning Environments |
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| Online Access: | https://doi.org/10.1186/s40561-022-00206-w |