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Learning Computer Science Languages in Enki

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 11 Jul 2016 Portugal Publisher:ACMJournal:Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education

Authors: Paiva, José Carlos; Leal, José Paulo; Queirós, Ricardo;

doi: 10.1145/2899415.2925504

handle: 10400.22/8661

Learning Computer Science Languages in Enki

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Abstract

This paper presents an overview and main features of Enki, a web-based learning environment for computer science languages. Enki was designed to be a sort of entry level IDE, aggregating tools for navigating and viewing course materials, for solving exercises and receiving automated feedback, as well as promoting the learning process. Enki uses services from several other systems, namely for content sequencing and recommendation, exercise assessment, and gamification.

Country

Portugal

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Keywords

Exercises, Integration, Programming languages, Gamification, Learning, Sequencing, Educational resources

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average