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Interest mining in virtual learning environments

Online Information Review, 2008
PurposeBehaviour in virtual learning environments (VLE), including travel, gaze, manipulate, gesture and conversation, offer considerable information about the user's implicit interest. The purpose of this study is to find an approach for user interest mining via behaviour analysis in a VLE.Design/methodology/approachAccording to research in psychology,
Rong Gu   +3 more
openaire   +1 more source

Game Penalties Decrease Learning and Interest

2013
Penalties are frequently used in games and rarely in tutors, creating a dilemma for designers seeking to combine games and tutors to maximize fun and learning. On the one hand, penalties can be frustrating and waste instructional time, on the other, they may increase excitement and prevent gaming.
Matthew W. Easterday, Yelee Jo
openaire   +2 more sources

Interest in learning, learning to be interested

Learning and Instruction, 2002
Monique Boekaerts, Pietro Boscolo
openaire   +1 more source

Learning a Model of a Web User’s Interests

2003
There are many recommender systems that are designed to help users find relevant information on the web. To produce recommendations that are relevant to an individual user, many of these systems first attempt to learn a model of the user's browsing behavior.
Tingshao Zhu   +2 more
openaire   +3 more sources

Learning regions of interest in postal automation

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
The general layout of mail pieces depends on certain rules, the sender's country, conventions and so on. One central task in postal automation is the localization of target addresses on mail pieces. After preprocessing, a mail piece consists of a set of bounding boxes for each region.
openaire   +2 more sources

Machine Learning in Epigenetic Diseases

Medical Epigenetics, 2021
Robert E Akins, Karyn Robinson
exaly  

Interest in Learning

Bulletin of the Department of Secondary-School Principals of the National Education Association, 1938
openaire   +1 more source

Adaptive Interest for Emphatic Reinforcement Learning

Advances in Neural Information Processing Systems 35, 2022
Martin Klissarov   +5 more
openaire   +2 more sources

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