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Overview of content related to 'london knowledge lab'

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This page provides an overview of 1 article related to 'learning analytics'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. A related field is educational data mining. Differentiating the fields of educational data mining (EDM) and learning analytics (LA) has been a concern of several researchers. George Siemens takes the position that educational data mining encompasses both learning analytics and academic analytics, the former of which is aimed at governments, funding agencies, and administrators instead of learners and faculty. Baepler and Murdoch, define academic analytics as an area that "...combines select institutional data, statistical analysis, and predictive modeling to create intelligence upon which learners, instructors, or administrators can change academic behavior". They go on to attempt to disambiguate educational data mining from academic analytics based on whether the process is hypothesis driven or not, though Brooks questions whether this distinction exists in the literature. Brooks instead proposes that the a better distinction between the EDM and LA communities is in the roots of where each community originated, with authorship at the EDM community being dominated by researchers coming from intelligent tutoring paradigms, and learning anaytics researchers being more focused on enterprise learning systems (e.g. learning content management systems). Regardless of the differences between the LA and EDM communities, the two areas have significant overlap both in the objectives of investigators as well as in the methods and techniques that are used in the investigation. (Excerpt from Wikipedia article: Learning analytics)

Key statistics

Metadata related to 'learning analytics' (as derived from all content tagged with this term):

  • Number of articles referring to 'learning analytics': 4 (0.2% of published articles)
  • Total references to 'learning analytics' across all Ariadne articles: 38
  • Average number of references to 'learning analytics' per Ariadne article: 9.50
  • Earliest Ariadne article referring to 'learning analytics': 2012-07
  • Trending factor of 'learning analytics': 23.7 (see FAQs on monitoring of trends)

See our 'learning analytics' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'learning analytics' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'learning analytics':

  1. manolis mavrikis (see articles on this topic by this author)
  2. patricia charlton (see articles on this topic by this author)
  3. demetra katsifli (see articles on this topic by this author)
  4. marieke guy (see articles on this topic by this author)
  5. eelco herder (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

The Potential of Learning Analytics and Big Data

Patricia Charlton, Manolis Mavrikis and Demetra Katsifli discuss how the emerging trend of learning analytics and big data can support and empower learning and teaching.

July 2013, issue71, feature article

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by Dr. Radut