LAK

LAK

LAK
International Learning Analytics & Knowledge Conference
Categories: Learning analytics
https://www.solaresearch.org/events/lak/
WikiDataId:	Q105491174
Scholia:	https://scholia.toolforge.org/event-series/Q105491174
DblpSeries:	lak
WikiCFP Series:	1931
Bibliography:	dblp.uni-trier.de/db/conf/lak/
Avg. acceptance rate:	30.4
Avg. acceptance rate (last 5 years):	30.4
Table of Contents

International Learning Analytics & Knowledge Conference (LAK) has an average acceptance rate of 30.4% (last 5 years 30.4%).

Events

There are 11 events of the series LAK known to this wiki: LAK 2011, LAK 2012, LAK 2013, LAK 2014, LAK 2015, LAK 2016, LAK 2017, LAK 2018, LAK 2019, LAK 2020, LAK 2021

	Ordinal	Year	From	To	City	Country	presence	Homepage	TibKatId	GND	dblp	WikiCFP	Wikidata	General chair	PC chair	Submitted papers	Acceptance rate
LAK 2021	11	2021	Apr 12	Apr 16				https://www.solaresearch.org/events/lak/lak21/
LAK 2020		2020	Mar 23	Mar 27	Frankfurt am Main	Germany		https://lak20.solaresearch.org/							Niels Pinkwart Katrien Verbert Maren Scheffel Vitomir Kovanovic
LAK 2019		2019	Mar 4	Mar 8	Tempe	USA		https://lak19.solaresearch.org/						Christopher Brooks Ulrich Hoppe
LAK 2018		2018	Mar 5	Mar 9	Sydney	Australia								Abelardo Pardo Kathryn Bartimote-Aufflick Grace Lynch	Agathe Merceron Simon Buckingham Shum Rebecca Ferguson Xavier Ochoa	115	30.4
LAK 2017		2017	Mar 13	Mar 17	Vancouver	Canada		http://lak17.com/
LAK 2016		2016	Mar 25	Mar 29	Edinburgh	UK
LAK 2015		2015	Mar 16	Mar 20	Poughkeepsie	USA
LAK 2014		2014	Mar 24	Mar 28	Indianapolis	USA
LAK 2013		2013	Apr 8	Apr 12	Leuven	Belgium
LAK 2012		2012	Apr 29	May 2	Vancouver	Canada
LAK 2011		2011	Feb 27	Mar 1	Banff	Canada

Submission/Acceptance

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Locations

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The International Conference on Learning Analytics & Knowledge is the premier research forum in the field, providing common ground for all stakeholders in the design of analytics systems to debate the state of the art at the intersection of Learning and Analytics — including researchers, educators, instructional designers, data scientists, software developers, institutional leaders and governmental policy makers.

The conference is held in cooperation with ACM in association with ACM SIGCHI and SIGWEB, with the double-blind, peer-reviewed proceedings archived in the ACM Digital Library. The ACM Digital Library (DL) is the world's most comprehensive database of full-text articles and bibliographic literature covering computing and information technology. This renowned repository includes the complete collection of ACM publications plus an extended bibliographic database of core works in computing from scholarly publishers. This guarantees that the proceedings will be available to the widest possible audience of computing professionals. ACM has an enlightened copyright policy with liberal author rights: authors may self-archive their own papers as Open Access Preprints, as long as they carry the specified ACM statement.