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An eLearning environment designed for integrating eMathTeacher: compliant graph algorithm simulators

Published: 28 October 2010 Publication History

Abstract

According to a study by Zendler and Spannagel [5], the concept of algorithm is one of the most important basic subjects in computer science. It is extremely important, then, for students to get a good grasp of this concept from the very start of their training. Being a highly abstract concept, first-year students do not find algorithms easy to understand and use. In this respect, having a tool that helps and shepherds students through the process of learning this concept can make a huge difference to their training. This demo sets out to present a new environment designed to facilitate graph algorithms comprehension and learning. The contextualization of this contribution and the relations between this environment and other implemented systems are discussed in [2].

References

[1]
Sánchez--Torrubia, M. G., Torres--Blanc, C. and Cubillo, S. 2010. Design of a Fuzzy Inference system for automatic DFS & BFS algorithm learning assessment. In Proc. 9th Int. FLINS Conf. on Found. and Appl. of Comp. Intell. (Chengdu, China, August 2--4, 2010), 308--313.
[2]
Sánchez--Torrubia, M. G., Torres--Blanc, C. and Escribano-Blanco, S. 2010. GRAPHs: a learning environment for graph algorithm simulation primed for automatic fuzzy assessment. In 10th Koli Calling International Conference on Computer Education Research. (Koli Nat. Park, Oct. 28--31, 2010).
[3]
Sánchez-Torrubia, M. G., Torres-Blanc, C., and Krishnankutty, S. 2008. Mamdani's fuzzy inference eMathTeacher: a tutorial for active learning. W. Trans. on Comp. 7, 5 (May 2008), 363--374.
[4]
Sánchez--Torrubia, M. G., Torres--Blanc, C. and López--Martínez, M. A. 2009. PathFinder: A Visualization eMathTeacher for Actively Learning Dijkstra's algorithm. Electronic Notes in Theoretical Computer Science. 224, 1 (January 2009), 151--158.
[5]
Zendler, A. and Spannagel, C. 2008. Empirical Foundation of Central Concepts for Computer Science Education. J. Educ. Resour. Comput. 8, 2 (May. 2008), 1--15.

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Koli Calling '10: Proceedings of the 10th Koli Calling International Conference on Computing Education Research
October 2010
125 pages
ISBN:9781450305204
DOI:10.1145/1930464
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • FU-BERLIN: Free University Berlin

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2010

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Author Tags

  1. active learning
  2. algorithm simulation
  3. algorithm visualization
  4. automatic assessment
  5. fuzzy assessment
  6. graph algorithms

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  • Research-article

Funding Sources

  • CICYT (Spain)

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Koli Calling '10
Sponsor:
  • FU-BERLIN

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Overall Acceptance Rate 80 of 182 submissions, 44%

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