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2. Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems

4. Motivation and Self-Regulated Learning in Computer Science: Lessons Learned From a Multiyear Program of Classroom Research

5. A Comparison of Educational Statistics and Data Mining Approaches to Identify Characteristics That Impact Online Learning

7. Digital Histories for the Digital Age: Collaborative Writing in Large Lecture Courses

8. Helping Engineering Students Learn in Introductory Computer Science (CS1) Using Computational Creativity Exercises (CCEs)

9. Computational Creativity Exercises: An Avenue for Promoting Learning in Computer Science

12. A spatially-aware algorithm for location extraction from structured documents.

13. Profiles of Motivated Self-Regulation in College Computer Science Courses: Differences in Major versus Required Non-Major Courses

15. Lessons Learned from Comprehensive Deployments of Multiagent CSCL Applications I-MINDS and ClassroomWiki

20. Implementing CS1 with embedded instructional research design in laboratories

21. ARKTOS: an intelligent system for SAR sea ice image classification

24. Separating touching objects in remote sensing imagery: the restricted growing concept and implementations

25. Document Images and Machine Learning: A Collaboratory between the Library of Congress and the Image Analysis for Archival Discovery (Aida) Lab at the University of Nebraska, Lincoln, NE

26. Virtual Wrap-Up Presentation: Digital Libraries, Intelligent Data Analytics, and Augmented Description

27. The workshop program at the Nineteenth National Conference on Artificial Intelligence

28. A comprehensive, automated approach to determining sea ice thickness from SAR data

29. AAAI 2002 workshops. (Workshop Reports)

31. Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the U.S. Statistical System?

35. Learning Through Computational Creativity.

43. Associations of Students' Creativity, Motivation, and Self-Regulation with Learning and Achievement in College Computer Science Courses

44. UNDERSTANDING HUMAN LEARNING USING A MULTI-AGENT SIMULATION OF THE UNIFIED LEARNING MODEL

45. AAAI 2002 Workshops

46. Empirical Usage Metadata in Learning Objects

47. Upstream-Downstream Relationships in Terms of Annual Streamflow Discharges and Drought Events in Nebraska

48. Redistricting using Heuristic-Based Polygonal Clustering

49. Density-Based Clustering of Polygons

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