How to Boost Close-Range Remote Sensing Courses Using a Serious Game: Uncover in a Fun Way the Complexity and Transversality of Multi-Domain Field Acquisitions

Authors

Loïca Avanthey, Laurent Beaudoin

Journal

Remote Sensing

Type

article

Date

2022-01-01

Abstract

Close-range remote sensing, and more particularly, its acquisition part that is linked to field robotics, is at the crossroads of many scientific and engineering fields. Thus, it takes time for students to acquire the solid foundations needed before practicing on real systems. Therefore, we are interested in a means that allow students without prerequisites to quickly appropriate the fundamentals of this interdisciplinary field. For this, we adapted a haggle game to the close-range remote sensing theme. In this article, we explain the mechanics that serve our educational purposes. We have used it, so far, for four academic years with hundreds of students. The experience was assessed through quality surveys and quizzes to calculate success indicators. The results show that the serious game is well appreciated by the students. It allows them to better structure information and acquire a good global vision of multi-domain acquisition and data processing in close-range remote sensing. The students are also more involved in the rest of the lessons; all of this helps to facilitate their learning of the theoretical parts. Thus, we were able to shorten the time before moving on to real practice by replacing three lesson sessions with one serious game session, with an increase in mastering fundamental skills. The designed serious game can be useful for close-range remote sensing teachers looking for an effective starting lesson. In addition, teachers from other technical fields can draw inspiration from the creation mechanisms described in this article to create their own adapted version. Such a serious game is also a good asset for selecting promising students in a recruitment context.

Bibtex (lrde.bib)

@Article{	  avanthey.22.rs,
  author	= {Avanthey, Lo{\"\i}ca and Beaudoin, Laurent},
  title		= {How to Boost Close-Range Remote Sensing Courses Using a
		  Serious Game: {U}ncover in a Fun Way the Complexity and
		  Transversality of Multi-Domain Field Acquisitions},
  journal	= {Remote Sensing},
  volume	= {14},
  year		= {2022},
  number	= {4},
  article-number= {817},
  url		= {https://www.mdpi.com/2072-4292/14/4/817},
  issn		= {2072-4292},
  abstract	= {Close-range remote sensing, and more particularly, its
		  acquisition part that is linked to field robotics, is at
		  the crossroads of many scientific and engineering fields.
		  Thus, it takes time for students to acquire the solid
		  foundations needed before practicing on real systems.
		  Therefore, we are interested in a means that allow students
		  without prerequisites to quickly appropriate the
		  fundamentals of this interdisciplinary field. For this, we
		  adapted a haggle game to the close-range remote sensing
		  theme. In this article, we explain the mechanics that serve
		  our educational purposes. We have used it, so far, for four
		  academic years with hundreds of students. The experience
		  was assessed through quality surveys and quizzes to
		  calculate success indicators. The results show that the
		  serious game is well appreciated by the students. It allows
		  them to better structure information and acquire a good
		  global vision of multi-domain acquisition and data
		  processing in close-range remote sensing. The students are
		  also more involved in the rest of the lessons; all of this
		  helps to facilitate their learning of the theoretical
		  parts. Thus, we were able to shorten the time before moving
		  on to real practice by replacing three lesson sessions with
		  one serious game session, with an increase in mastering
		  fundamental skills. The designed serious game can be useful
		  for close-range remote sensing teachers looking for an
		  effective starting lesson. In addition, teachers from other
		  technical fields can draw inspiration from the creation
		  mechanisms described in this article to create their own
		  adapted version. Such a serious game is also a good asset
		  for selecting promising students in a recruitment
		  context.},
  doi		= {10.3390/rs14040817}
}