Modeling exploratory behaviour

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2109, Issue , 2001, Pages 219-221

  Bunt, Andrea ^a   Conati, Cristina ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Bayesian Networks; Exploration; Exploratory environments

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS; NATURAL RESOURCES EXPLORATION;

EMOTIONAL STATE; EXPLORATION STRATEGIES; EXPLORATORY BEHAVIOURS; EXPLORATORY ENVIRONMENTS; OPEN ENVIRONMENT; PERSONALITY TRAITS; USER MODELING;

BAYESIAN NETWORKS;

EID: 84943152910     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44566-8_26     Document Type: Conference Paper

References (5)

1. A. Bunt, C. Conati, M. Huggett, and K. Muldner. On improving the effectiveness of open learning environments through tailored support for exploration. In AIED 2001, to appear.
2. M. Njoo and T. de Jong. Exploratory learning with a computer simulation for control theory: Learning processes and instructional support. Journal of Research in Science Teaching, 30(8):821–844, 1993.
3. V. Shute and R. Glaser. A large-scale evaluation of an intelligent discovery world: Smithtown. Interactive Learning Environments, 1:55–77, 1990.
4. W. van Joolingen. Cognitive tools for discovery learning. Journal of Artificial Intelligence and Education, 10, 1999.
5. K. Veermans and W. van Joolingen. Using induction to generate feedback in simulation based discovery learning environments. In B. Goetl, H. M. Halff, C. Redfield, and V. Shute, editors, Intelligent Tutoring Systems, 4th International Conference (ITS’98), pages 196–205, Berlin, 1998. Springer.