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» Guiding Agent Learning in Design
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IUI
2004
ACM
14 years 1 months ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
AAAI
1996
13 years 9 months ago
Design and Implementation of a Replay Framework Based on a Partial Order Planner
In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. der...
Laurie H. Ihrig, Subbarao Kambhampati
AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ICWL
2005
Springer
14 years 1 months ago
The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
Jin Du, Qinghua Zheng, Haifei Li, Wenbin Yuan
HICSS
2008
IEEE
139views Biometrics» more  HICSS 2008»
14 years 2 months ago
Understanding the Roles of Knowledge Sharing and Trust in Online Learning Communities
This paper builds upon action and design research aimed at enhancing scholarly community and conversation in a graduate school setting. In this paper we focus on knowledge sharing...
Brian Thoms, Nathan Garrett, Jesus Canelon Herrera...