DocumentCode
3140147
Title
An optimized algorithm for distributing large numbers of students to small exercise groups
Author
Jeschke, Sabina ; Luce, Robert ; Pfeiffer, Olivier ; Zorn, Erhard
Author_Institution
Berlin Univ. of Technol., Berlin
fYear
2007
fDate
18-20 July 2007
Firstpage
232
Lastpage
234
Abstract
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.
Keywords
education; evolutionary computation; freshmen courses; optimal assignment; optimized algorithm; Mathematics; Optimization methods; Scheduling; Springs;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location
Niigata
Print_ISBN
0-7695-2916-X
Type
conf
DOI
10.1109/ICALT.2007.65
Filename
4280998
Link To Document