LAK

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LAK
International Learning Analytics & Knowledge Conference
Categories: Learning analytics
https://www.solaresearch.org/events/lak/
wikidataIdThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in Wikidata. Its external formatter URI is https://www.wikidata.org/entity/$1.</br>In Open Research it is mostly used to identify an academic event or event series within Wikidata. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.:	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:	0
Avg. acceptance rate (last 5 years):	0
Table of Contents

International Learning Analytics & Knowledge Conference (LAK) has an average acceptance rate of 0% (last 5 years 0%).

Events

There are 12 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, LAK 2022

	OrdinalThis property of the datatype Number represents the ordinal number of an event within an event series. Thereby it informs about the age of an event series. This property is not needed for the DOI registration process via DataCite and is optional.	Year	FromThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.</br>This property is aligned with icaltzd:dtstart. It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.	ToThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.</br>This property is aligned with icaltzd:dtend.</br>It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.	CityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.</br>It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location country, property:Has location state and property:Has location address.</br>When specifying the city in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.	CountryThe property Has location country is used to describe the country where something is located in.</br>It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location city, property:Has location state and property:Has location address.</br>When specifying the country in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.	presence	HomepageThis property is of the datatype URL and it is being used to provide the official website of an academic event or an event series.</br>It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.	TibKatId	GNDThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in the Integrated_Authority_File (GND). Its external formatter URI is http://d-nb.info/gnd/$1.</br>In Open Research it is mostly used to identify an academic event or event series within the GND. </br>The use of this property is optional.</br>It is not necessary for the DOI registration process via DataCite.	dblpThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in dblp. Its external formatter URI is https://dblp2.uni-trier.de/db/conf/$1.</br>In Open Research it is mostly used to identify an academic event within dblp. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.	WikiCFPThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in WikiCFP. Its external formatter URI is http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=$1.</br>In Open Research it is used to identify an academic event or event series within WikiCFP. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.	WikidataThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in Wikidata. Its external formatter URI is https://www.wikidata.org/entity/$1.</br>In Open Research it is mostly used to identify an academic event or event series within Wikidata. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.
LAK 2022	12	2022	Mar 21	Mar 25			online	https://www.solaresearch.org/events/lak/lak22/
LAK 2021	11	2021	Apr 12	Apr 16				https://www.solaresearch.org/events/lak/lak21/
LAK 2020		2020	Mar 23	Mar 27	DE/HE/Frankfurt am Main	DE		https://lak20.solaresearch.org/
LAK 2019		2019	Mar 4	Mar 8	US/AZ/Tempe	US		https://lak19.solaresearch.org/
LAK 2018		2018	Mar 5	Mar 9	AU/NSW/Sydney	AU
LAK 2017		2017	Mar 13	Mar 17	CA/BC/Vancouver	CA		http://lak17.com/
LAK 2016		2016	Mar 25	Mar 29	GB/SCT/Edinburgh	GB
LAK 2015		2015	Mar 16	Mar 20	US/NY/Poughkeepsie	US
LAK 2014		2014	Mar 24	Mar 28	US/IN/Indianapolis	US
LAK 2013		2013	Apr 8	Apr 12	BE/VLG/Leuven	BE
LAK 2012		2012	Apr 29	May 2	CA/BC/Vancouver	CA
LAK 2011		2011	Feb 27	Mar 1	CA/AB/Banff	CA

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.