AlgoPath: A New Way of Learning Algorithmic
Estelle Perrin, Sébastien Linck, Frédéric Danesi · 2012
Abstract — This paper presents a new way of learning algorithmic: AlgoPath is a virtual world in which variables are represented by 3D figures carrying a backpack and the sequence of instructions is represented by a stone path. The interface of AlgoPath helps students to avoid common mistakes. The world of AlgoPath gives them a mental representation of algorithms. Students are more prone to learn because AlgoPath changes the level of difficulty. They can forget the off-putting syntax and grammar of algorithmics. AlgoPath is ludic and students feel they are more playing than learning. Keywords- 3D-based training; education; algorithmics; ludic teaching I.