About: Learn-Apply-Reinforce/Share Learning: Hackathons and CTFs as General Pedagogic Tools in Higher Education, and Their Applicability to Distance Learning

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About: Learn-Apply-Reinforce/Share Learning: Hackathons and CTFs as General Pedagogic Tools in Higher Education, and Their Applicability to Distance Learning Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Learn-Apply-Reinforce/Share Learning: Hackathons and CTFs as General Pedagogic Tools in Higher Education, and Their Applicability to Distance Learning
Creator	Goodman, Tom Radu, Andreea-Ina
topic	covid:c6b2f3f11e2d0e3da74b178c74a1d6740ed1c731#this
Source	ArXiv
abstract	This paper lays out two teaching/learning methods that are becoming increasingly prevalent in computer science - hackathons, and Capture the Flag (CTF) competitions - and the pedagogic theory that underpins them. A case study of each is analysed, and the underpinning similarities extracted. The frameworks are then generalised to Learn-Apply-Reinforce/Share Learning - a social constructivistic method that can be used subject-independently. The applicability of this new method to distance learning is then investigated - with a mind to potential necessity to work from home - both due to increasing demand in the Higher Education sector, but also the devastating impact of crises such as the ongoing COVID-19 pandemic. Finally, a few potential extensions and future applications are discussed - including the possibilities of pivoting the method to be more research-driven, or indeed, to drive research.
has issue date	2020-06-07(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c6b2f3f11e2d0e3da74b178c74a1d6740ed1c731
resource representing a document's title	Learn-Apply-Reinforce/Share Learning: Hackathons and CTFs as General Pedagogic Tools in Higher Education, and Their Applicability to Distance Learning
resource representing a document's body	covid:c6b2f3f11e2d0e3da74b178c74a1d6740ed1c731#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/c6b2f3f11e2d0e3da74b178c74a1d6740ed1c731
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