Learning engineering: Difference between revisions

Revision as of 12:14, 31 October 2020

Revision as of 10:38, 2 November 2020

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Subsequently, the term “learning engineering” has come to emphasize a focus on applied research (rather than foundational or theoretical research), as well as incorporating learning science research in order to improve real-life learning outcomes.<ref>{{Cite web|last=Lieberman|first=Mark|date=|title=Learning Inch Toward the Spotlight|url=https://www.insidehighered.com/digital-learning/article/2018/09/26/learning-engineers-pose-challenges-and-opportunities-improving|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=Inside Higher Education|language=en}}</ref>

== Overview ==

Learning Engineering is aimed at addressing a deficit in the application of science and technology to education<ref>{{Cite web|title=The emerging need for touchless interaction technologies {{!}} ACM Interactions|url=https://interactions.acm.org/archive/view/july-august-2020/the-emerging-need-for-touchless-interaction-technologies?doi=10.1145/3406100|access-date=2020-10-31|website=interactions.acm.org|doi=10.1145/3406100}}</ref>. Its advocates emphasize the need to connect computing technology and generated data with the overall goal of optimizing learning environments.<ref>{{Cite document|last=Saxberg|first=Bror|s2cid=12156278|date=April 2017|title=Learning Engineering {{!}} Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale|language=EN|doi=10.1145/3051457.3054019}}</ref>

Learning Engineering initiatives aim to improve educational outcomes by leveraging computing to dramatically increase the applications and effectiveness of learning science as a discipline. Digital learning platforms have generated large amounts of data which can reveal immediately actionable insights.<ref>{{Cite book|last1=Koedinger|first1=Kenneth|last2=Cunningham|first2=Kyle|last3=Skogsholm|first3=Alida|last4=Leber|first4=Brett|last5=Stamper|first5=John|title=Handbook of Educational Data Mining|date=2010-10-25|chapter=A Data Repository for the EDM Community|series=Chapman & Hall/CRC Data Mining and Knowledge Discovery Series|volume=20103384|pages=43–55|chapter-url=https://www.researchgate.net/publication/254199600|doi=10.1201/b10274-6|isbn=978-1-4398-0457-5}}</ref>