Teaching PLF through “Serious Escape Games” based on 3D-imaging, accelerometer approaches and R programming

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Lebreton, A | Allain, Clément | Dumesny, M. | Leroux, E. | Bouqueau, A. | Etienne, M.-P. | Largouët, Christine | Gaillard, Charlotte | Brossard, Ludovic | Le Cozler, Yannick | Fischer, Amélie

Edité par CCSD -

International audience. The spread of precision livestock farming (PLF) services in the agricultural professional field requires more training. This training involves knowledge and skills on the use and the functioning of sensors and data analysis. This is crucial for future consultant or researcher in agriculture. However, some students may be reluctant to this learning. To improve the attractiveness of PLF teaching, we developed "Serious Escape Games" (SEG) that combine the teaching of knowledge and skills with the playful characteristics of an escape game. The developed SEG use the examples of 3D-imaging and accelerometers applications in dairy cows, and a few in sows. The games run under R software, which is free of use and largely taught in universities for data analysis and visualisation. With a total duration of 2 hours, the SEG sequences include 15 min of introduction, 60 min of playing to solve 10 enigmas about PLF and data analysis, and 45 min of debriefing. The students have to mobilize their prior knowledge in R, data analysis and animal science, as well as their collaborative soft-skill to "escape" the game on time. The SEG teaches new skills and knowledge that are specific to PLF: new R procedures, animal indicators, field applications of 3D-imaging and accelerometers, and the process to develop and validate sensors. They were developed in French, but the development of a framework for SEG in English or other languages is under consideration. This will allow a wide free distribution, as well as applications of this concept to other fields and graduation levels.

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