@inproceedings{590dd4f67f0d45f6a8a5412e52b1ef50,
title = "Feature construction for student group forming based on their browsing behaviors in an E-learning system",
abstract = "Group learning is an effective and efficient way to promote greater academic success. However, almost all group-learning systems stress collaborative learning activity itself, with few focused on how groups should be formed. In this paper, we present a novel group forming technique based on students{\textquoteright} browsing behaviors with the help of a curriculum knowledge base. To achieve this, a data clustering technique was adopted. Before clustering, new features are constructed based on an arithmetic-composition-based feature construction technique. Preliminary results have shown that the new features can well represent the problem space and thus make the group forming outcomes more convincing.",
author = "Tang, {Tiffany Y.} and Chan, {Chun Chung}",
year = "2002",
month = jan,
day = "1",
language = "English",
isbn = "3540440380",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "512--521",
booktitle = "PRICAI 2002",
address = "Germany",
note = "7th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2002 ; Conference date: 18-08-2002 Through 22-08-2002",
}