IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Evolving Learning Ecologies

Evolving Learning Ecologies
View Sample PDF
Author(s): J. Dron (University of Brighton, UK)
Copyright: 2007
Pages: 13
Source title: Handbook of Research on Nature-Inspired Computing for Economics and Management
Source Author(s)/Editor(s): Jean-Philippe Rennard (Grenoble Graduate School of Business, France)
DOI: 10.4018/978-1-59140-984-7.ch046

Purchase

View Evolving Learning Ecologies on the publisher's website for pricing and purchasing information.

Abstract

This chapter describes the application of self-organising principles to the field of e-learning. It argues that traditional managed approaches to e-learning suffer from deficiencies both in cost and adaptativity that are addressed through the application of nature-inspired processes such as stigmergy and evolution. Such systems, primarily those employing social navigation, are built to generate structure through the dialogue-like interactions of individual learners within them. The result is emergent control of the learning process, adapting dynamically to learner needs, with limited teacher involvement. The chapter describes some example applications and explores some of the remaining challenges in the field, most notably in encouraging pedagogically useful structures to evolve.

Related Content

P. Chitra, A. Saleem Raja, V. Sivakumar. © 2024. 24 pages.
K. Ezhilarasan, K. Somasundaram, T. Kalaiselvi, Praveenkumar Somasundaram, S. Karthigai Selvi, A. Jeevarekha. © 2024. 36 pages.
Kande Archana, V. Kamakshi Prasad, M. Ashok. © 2024. 17 pages.
Ritesh Kumar Jain, Kamal Kant Hiran. © 2024. 23 pages.
U. Vignesh, R. Elakya. © 2024. 13 pages.
S. Karthigai Selvi, R. Siva Shankar, K. Ezhilarasan. © 2024. 16 pages.
Vemasani Varshini, Maheswari Raja, Sharath Kumar Jagannathan. © 2024. 20 pages.
Body Bottom