Skip to Content

Overview of content related to 'cybernetics'

Syndicate content

This page provides an overview of 1 article related to 'cybernetics'. 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.

 'Inspecting article' image: copyright, used under license from shutterstock.com
Cybernetics is the interdisciplinary study of the structure of regulatory systems. Cybernetics is closely related to control theory and systems theory. Both in its origins and in its evolution in the second half of the 20th century, cybernetics is equally applicable to physical and social (that is, language-based) systems. Cybernetics is most applicable when the system being analysed is involved in a closed signal loop; that is, where action by the system causes some change in its environment and that change is fed to the system via information (feedback) that causes the system to adapt to these new conditions: the system's changes affect its behavior. (Excerpt from Wikipedia article: Cybernetics)

Key statistics

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

  • Number of articles referring to 'cybernetics': 3 (0.2% of published articles)
  • Total references to 'cybernetics' across all Ariadne articles: 3
  • Average number of references to 'cybernetics' per Ariadne article: 1.00
  • Earliest Ariadne article referring to 'cybernetics': 2006-02
  • Trending factor of 'cybernetics': 0 (see FAQs on monitoring of trends)

See our 'cybernetics' 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 'cybernetics' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'cybernetics':

  1. manolis mavrikis (see articles on this topic by this author)
  2. ingrid mason (see articles on this topic by this author)
  3. patricia charlton (see articles on this topic by this author)
  4. conrad taylor (see articles on this topic by this author)
  5. demetra katsifli (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.

Titlesort icon 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

CSVXML
Syndicate content


by Dr. Radut