Smart learning environments for a smart city: from the perspective of lifelong and lifewide learning
Rongxia Zhuang; Haiguang Fang; Yan Zhang; Aofan Lu; Ronghuai Huang · 2017 · Smart Learning Environments
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
In the perspective of lifelong learning, lifewide learning and learning society, learning environments have expanded from schools to a more broader space, and even to the whole city. School, family, community, workplace, and museum can be…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Semantic Scholar · DOI 10.1186/s40561-017-0044-8