Educational data mining

Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to develop and improve methods for exploring this data, which often has multiple levels of meaningful hierarchy, in order to discover new insights about how people learn in the context of such settings.[1] In doing so, EDM has contributed to theories of learning investigated by researchers in educational psychology and the learning sciences.[2] The field is closely tied to that of learning analytics, and the two have been compared and contrasted.[3]

  1. ^ "EducationalDataMining.org". 2013. Retrieved 2013-07-15.
  2. ^ R. Baker (2010) Data Mining for Education. In McGaw, B., Peterson, P., Baker, E. (Eds.) International Encyclopedia of Education (3rd edition), vol. 7, pp. 112-118. Oxford, UK: Elsevier.
  3. ^ G. Siemens, R.S.j.d. Baker (2012). "Learning analytics and educational data mining: Towards communication and collaboration". Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. pp. 252–254. doi:10.1145/2330601.2330661. ISBN 9781450311113. S2CID 207196058.