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» Students learn CS in different ways: insights from an empiri...
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AAAI
2008
13 years 9 months ago
Classification by Discriminative Regularization
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
ITS
2004
Springer
99views Multimedia» more  ITS 2004»
14 years 22 days ago
Promoting Effective Help-Seeking Behavior Through Declarative Instruction
The ability to use help-resources efficiently is an important skill in any learning environment, whether the student is in a traditional classroom or is using an Intelligent Tutor...
Ido Roll, Vincent Aleven, Kenneth R. Koedinger
AIED
2005
Springer
14 years 28 days ago
Discovery of Patterns in Learner Actions
This paper describes an approach for analysis of computer-supported learning processes utilizing logfiles of learners’ actions. We provide help to researchers and teachers in ...
Andreas Harrer, Michael Vetter, Stefan Thür, ...
CHI
2007
ACM
14 years 7 months ago
Selection-based note-taking applications
The increasing integration of education and technology has led to the development of a range of note-taking applications. Our project's goal is to provide empirical data to g...
Aaron Bauer, Kenneth R. Koedinger
DIGRA
2005
Springer
14 years 27 days ago
Playful Play with Games: Linking Level Editing to Learning in Art and Design
The title ‘Playful Play with Games’ refers to the possibility of creative involvement with games by altering their structure in a playful way. The focus of this paper is on mo...
Maia Engeli