LAVES: An Extensible Visualization Tool to Facilitate the Process of Learning and Teaching Algorithms | Zendy

Dominik Kreß | Zendy; Jan Dornseifer | Zendy

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LAVES: An Extensible Visualization Tool to Facilitate the Process of Learning and Teaching Algorithms

Author(s) -

Dominik Kreß,

Jan Dornseifer

Publication year - 2015

Publication title -

informs transactions on education

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.161

H-Index - 3

ISSN - 1532-0545

DOI - 10.1287/ited.2015.0140

Subject(s) - computer science , extensibility , visualization , process (computing) , algorithm , machine learning , artificial intelligence , programming language

The Logistics Algorithms Visualization and Education Software LAVES is an open source project at the University of Siegen, aiming at supporting business and business informatics students in understanding the basic concepts of algorithms that are applied to solve problems arising in operations research, especially in logistics, by means of visualization. It allows students to create problem instances click-by-click with direct graphical feedback, offers a set of algorithm-related controls, presents execution-table-views as used by the students when manually processing algorithms, depicts and highlights the related pseudocode including formulas, and includes an exercise mode. LAVES is accompanied by a development kit LAVESDK that allows instructors with Java knowledge to implement course-specific algorithm visualizations called plugins to be used with LAVES. The development kit is generic and provides a broad range of tools. In this paper, we present the basic features of LAVES and LAVESDK and report on first classroom experiences and student feedback.

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