An optimized algorithm for distributing large numbers of students to small exercise groups

I
ICALT
2007
Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
Abstract - An optimized algorithm for distributing large numbers of students to small exercise groups

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Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)

Niigata, Japan

July 18-July 20

ISBN: 0-7695-2916-X

	ASCII Text	x
	Sabina Jeschke, Robert Luce, Olivier Pfeiffer, Erhard Zorn, "An optimized algorithm for distributing large numbers of students to small exercise groups," Advanced Learning Technologies, IEEE International Conference on, pp. 232-234, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007.

	BibTex	x
	@article{ 10.1109/ICALT.2007.65, author = {Sabina Jeschke and Robert Luce and Olivier Pfeiffer and Erhard Zorn}, title = {An optimized algorithm for distributing large numbers of students to small exercise groups}, journal ={Advanced Learning Technologies, IEEE International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2916-X}, pages = {232-234}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.65}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Learning Technologies, IEEE International Conference on TI - An optimized algorithm for distributing large numbers of students to small exercise groups SN - 0-7695-2916-X SP232 EP234 A1 - Sabina Jeschke, A1 - Robert Luce, A1 - Olivier Pfeiffer, A1 - Erhard Zorn, PY - 2007 KW - null VL - 0 JA - Advanced Learning Technologies, IEEE International Conference on ER -

Sabina Jeschke, Berlin University of Technology, Germany

Robert Luce, Berlin University of Technology, Germany

Olivier Pfeiffer, Berlin University of Technology, Germany

Erhard Zorn, Berlin University of Technology, Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.65

The number of students in major classes for freshmen courses easily exceeds 2.000 students. In this paper, the MOSESKONTO-environment is presented -- which helps computing an optimal assignment into exercise groups and provides means for tracking and managing exam registration. Based on the data from summer term 2005, already 50% of all bachelor exams were managed through the MOSESKONTO at TU Berlin.

Citation:

Sabina Jeschke, Robert Luce, Olivier Pfeiffer, Erhard Zorn, "An optimized algorithm for distributing large numbers of students to small exercise groups," icalt, pp.232-234, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007

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