Encyclopedia of Education and Information Technologies

2020 Edition
| Editors: Arthur Tatnall

Educational Assessment, Educational Data Mining, and Learning Analytics

  • Vanda LuengoEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-030-10576-1_43
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Synonyms

Definitions

Baker and Yacef (2009) define Educational Data Mining like a “discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.”

The definition of learning analytics prosed by Siemens (2011) is “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.” It could be useful to precise the level of the analysis; Buckingham Shum (Buckingham 2012) proposes macro-, meso-, and microlevels that refer to the range of the target. Macro-level targets cross-institutional analysis, meso-level is the institutional level, and microlevel is the individual...

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References

  1. Baker RSJD, Yacef K (2009) The state of educational data mining in 2009: a review and future visions. J Educ Data Min 1(1):3–17Google Scholar
  2. Buckingham SS (2012) Learning analytics. Published by the UNESCO Institute for Information on Technologies in EducationGoogle Scholar
  3. Gauthier G, Frasson C, VanLehn K (eds) (2000) Intelligent tutoring systems: 5th international conference, ITS 2000, Montreal, 19–23 June 2000 proceedings. Springer, Berlin/HeidelbergGoogle Scholar
  4. Koedinger KR, Corbett AT (2006) Cognitive tutors: technology bringing learning science to the classroom. In: Sawyer RK (ed) The Cambridge handbook of the learning sciences. Cambridge University Press, New York, pp 61–77Google Scholar
  5. Labarthe H, Luengo V, Bouchet F (2018) Analyzing the relationships between learning analytics, educational data mining and AI for education in 14th international conference on intelligent tutoring systems (ITS): workshop learning analytics, Montreal, pp 10–19Google Scholar
  6. Romero C, Ventura S (2007) Educational data mining: a survey from 1995 to 2005. Expert Syst Appl 33:135–146CrossRefGoogle Scholar
  7. Siemens G (2011) What learning and academic analytics, 5 Aug 2011. http://www.learninganalytics.net/?p=131
  8. Siemens G, Baker RSJD (2012) Learning analytics and educational data mining: towards communication and collaboration. In: Proceedings of the 2Nd international conference on learning analytics and knowledge. ACM, New York, pp 252–254Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Laboratoire d’Informatique de Paris 6Sorbonne Université CNRSParisFrance

Section editors and affiliations

  • Eric Sanchez
    • 1
  1. 1.CERFUniversity of Fribourg (CH)FribourgSwitzerland