Cognitive tools to support learning about farming system management: a case study in grazing systems
Michel Duru A C and Roger Martin-Clouaire B
+ Author Affiliations
- Author Affiliations
A INRA, UMR 1248 AGIR, BP 52627, F-31326 Castanet Tolosan, France.
B INRA, UR875 Biométrie et Intelligence Artificielle, BP 52627, F-31326 Castanet Tolosan, France.
C Corresponding author. Email: mduru@toulouse.inra.fr
Crop and Pasture Science 62(9) 790-802 https://doi.org/10.1071/CP11121
Submitted: 6 May 2011 Accepted: 7 September 2011 Published: 10 November 2011
Abstract
The complex challenge of farm management has prompted a search for ways in which scientific knowledge can be acquired and combined with practical know-how and experience to enhance the adaptability, profitability and environmental soundness of agricultural systems. Cognitive tools offer a kind of model-based learning support that facilitates and stimulates critical thinking about the functioning of agricultural production processes and the ways to control them in various and changing situations. The purpose of this paper is to delineate, illustrate and analyse the concept of cognitive tool together with the learning process and conditions in which such a tool would be used. We review three such tools built to help understand, improve, adapt or design grazing management practices in pasture-based livestock farms. For each of them we examine the knowledge content of the tool, the way it is represented, the kind of use and the nature of the support it provides to its users.
Additional keywords: biophysical processes, grazing systems, learning, model, production management.
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