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The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Cardoso, E. (2018). The past, present, and future of Learning Analytics. In Companion Proceedings of the The Web Conference 2018. (pp. 1021-1021). Lyon: ACM Press.
Export Reference (IEEE) 
E. A. Cardoso,  "The past, present, and future of Learning Analytics", in Companion Proc. of the The Web Conf. 2018, Lyon, ACM Press, 2018, pp. 1021-1021
Export BibTeX 
@inproceedings{cardoso2018_1776101905772,
	author = "Cardoso, E.",
	title = "The past, present, and future of Learning Analytics",
	booktitle = "Companion Proceedings of the The Web Conference 2018",
	year = "2018",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1145/3184558.3193130",
	pages = "1021-1021",
	publisher = "ACM Press",
	address = "Lyon",
	organization = "IW3C2, International World Wide Web Conference Committee",
	url = "https://dl.acm.org/citation.cfm?doid=3184558.3192299"
}
Export RIS 
TY  - CPAPER
TI  - The past, present, and future of Learning Analytics
T2  - Companion Proceedings of the The Web Conference 2018
AU  - Cardoso, E.
PY  - 2018
SP  - 1021-1021
DO  - 10.1145/3184558.3193130
CY  - Lyon
UR  - https://dl.acm.org/citation.cfm?doid=3184558.3192299
AB  - Learning  Analytics  (LA)  is  a  recent  research  field,  in  which  Business  Intelligence  and  Analytics  techniques  are  applied  to  learners  and  their  contexts,  with  the  purpose  of  acquiring  a  greater   insight   about   the   entire   learning   process   (including   outcomes).  In  this  talk,  we  explore  the  LA  landscape,  delving  into the definitions, techniques, challenges, and lessons learned.
ER  -