Paper Annotation with Learner Models

Frontiers in Artificial Intelligence and Applications

Volumn 125, Issue , 2005, Pages 654-661

  Tang, Tiffany Y ^a,b   McCalla, Gordon ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; RECOMMENDER SYSTEMS; SOFTWARE ENGINEERING;

CORRELATION ANALYSIS; E-LEARNING SYSTEMS; GRADUATE COURSE; GRADUATE STUDENTS; LEARN+; LEARNER MODELING; LEARNER PROFILES; MEAN-VARIANCE ANALYSIS; RESEARCH AREAS; RESEARCH PAPERS;

STUDENTS;

EID: 68349130844     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (12)

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2. Cadiz, J., Gupta, A., and Grudin, J. Using web annotations for asynchronous collaborative around documents. CSCW'00, 2000, 309-318.
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4. Cox, D. and Greenberg, S. Supporting collaborative interpretation in distributed groupware. CSCW'00, 2000, 289-298.
5. Weibel, S. The Dublin Core: a simple content description format for electronic resources. NFAIS Newsletter, 40(7):117-119, 1999.
6. Han, H., Giles, C.L., Manavoglu, E. and Zha, H. Automatic document metadata extraction using support vector machines. JCDL'03, 2003, 37-48.
7. Lawrence, S., Giles, C. L., and Bollacker, K. Digital libraries and autonomous citation indexing. IEEE Computer, 32(6): 67-71, 1999.
8. Torres, R., McNee, S., Abel, M., Konstan, J.A. and Riedl, J. Enhancing digital libraries with TechLens. JCDL'04, 2004.
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10. Tang, T. Y., and McCalla, G.I. Utilizing artificial learners to help overcome the cold-start problem in a pedagogically-oriented paper recommendation system. AH'04, Amsterdam, 2004.
11. Brooks, C., Winter, M., Greer, J. and McCalla, G.I. The massive user modeling system (MUMS). ITS'04, 635-645.
12. McCalla, G.I. The ecological approach to the design of e-learning environments: purpose-based capture and use of information about learners. J. of Interactive Media in Education (JIME), Special issue on the educational semantic web, T. Anderson and D. Whitelock (guest eds.), 1, 2004, 18p. [http://wwwjime.open.ac.uk/2004/1]