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AlgoPath: A New Way of Learning Algorithmic

Authors:
Estelle Perrin
Sébastien Linck
Frédéric Danesi

Keywords: 3D-based training; education; algorithmics; ludic teaching

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.

Pages: 291 to 296

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-177-9

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012