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1,591
Learning Environment for Learning Conceptual Knowledge
"... Modeling is regarded as fundamental to human cog-nition and scientific inquiry (Schwarz and White2005). It helps learners express and externalize their thinking, visualize and test components of their theories, and make materials more interesting. Particularly, the impor-tance of learners constructi ..."
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in education (Forbus et al. 2004, Kinnebrew and Biswas 2011), and professional practice (Bredeweg and Salles 2009). The DynaLearn interactive learning environment (ILE) can be regarded as a member of this new class of tools. Its devel-opment is directly motivated by specific needs from the edu-
Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents
- In Proceedings of the Tenth International Conference on Machine Learning
, 1993
"... Intelligent human agents exist in a cooperative social environment that facilitates learning. They learn not only by trialand -error, but also through cooperation by sharing instantaneous information, episodic experience, and learned knowledge. The key investigations of this paper are, "Given t ..."
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Cited by 310 (0 self)
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Intelligent human agents exist in a cooperative social environment that facilitates learning. They learn not only by trialand -error, but also through cooperation by sharing instantaneous information, episodic experience, and learned knowledge. The key investigations of this paper are, "
Threshold concepts and troublesome knowledge: linkages to ways of thinking and practicing
- In C. Rust (Ed.), Improving
, 2003
"... This paper arises from ongoing research undertaken by the Economics team of the ESRC / TLRP Project ‘Enhancing Teaching and Learning Environments ’ (ETL)1. This forms part of the large scale ESRC Teaching and Learning Research Programme Phase 2. ETL is seeking to identify factors leading to high qua ..."
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Cited by 246 (4 self)
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This paper arises from ongoing research undertaken by the Economics team of the ESRC / TLRP Project ‘Enhancing Teaching and Learning Environments ’ (ETL)1. This forms part of the large scale ESRC Teaching and Learning Research Programme Phase 2. ETL is seeking to identify factors leading to high
Differentiating Qualitative Representations into Learning Spaces ∗
"... The DynaLearn interactive learning environment allows learners to construct their conceptual ideas and investi-gate the logical consequences of those ideas. By build-ing and simulating causal models, students develop an understanding of how systems work. The DynaLearn interactive learning environmen ..."
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Cited by 2 (1 self)
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The DynaLearn interactive learning environment allows learners to construct their conceptual ideas and investi-gate the logical consequences of those ideas. By build-ing and simulating causal models, students develop an understanding of how systems work. The DynaLearn interactive learning
Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment
- IN PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS
, 1997
"... Recent developments in philosophy, linguistics, developmental psychology and artificial intelligence make it possible to envision a developmental path for an artificial agent, grounded in activity-based sensorimotor representations. This paper describes how Neo, an artificial agent, learns conc ..."
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Cited by 28 (2 self)
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Recent developments in philosophy, linguistics, developmental psychology and artificial intelligence make it possible to envision a developmental path for an artificial agent, grounded in activity-based sensorimotor representations. This paper describes how Neo, an artificial agent, learns
An effective metacognitive strategy: Learning by doing and explaining with a computer-based cognitive tutor
- Cognitive Science
, 2002
"... Recent studies have shown that self-explanation is an effective metacognitive strategy, but how can it be leveraged to improve students ’ learning in actual classrooms? How do instructional treatments that emphasizes self-explanation affect students ’ learning, as compared to other instructional tre ..."
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Cited by 220 (54 self)
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treatments? We investigated whether self-explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during
Dynalearnengaging and informed tools for learning conceptual system knowledge
- Cognitive and Metacognitive Educational Systems: Papers from the AAAI Fall Symposium
, 2009
"... This paper describes the DynaLearn project, which seeks to address contemporary problems in science education by integrating well established, but currently independent technological developments, and utilize the added value that emerges. Specifically, diagrammatic representations are used for learn ..."
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Cited by 3 (1 self)
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This paper describes the DynaLearn project, which seeks to address contemporary problems in science education by integrating well established, but currently independent technological developments, and utilize the added value that emerges. Specifically, diagrammatic representations are used
MSc in Artificial Intelligence
"... I would like to thank: Bert Bredeweg for his guidance, patience and understanding. Paulo Salles and Tim Nuttle for their time, effort, and all the advice and inspiration. Jochem Liem, Floris Linnebank and Michael Wißner for their help and all the overtime spent debugging. My family and my friends, f ..."
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, for everything else I ever needed. 1 The DynaLearn project is an effort to develop an Interactive Learning Environment (ILE) that relies on Qualitative Reasoning methods to assist students in constructing their conceptual system knowledge, either individually or in a collaborative setting. Such an environment
Learning to Coordinate Without Sharing Information
- In Proceedings of the Twelfth National Conference on Artificial Intelligence
, 1994
"... Researchers in the field of Distributed Artificial Intelligence (DAI) have been developing efficient mechanisms to coordinate the activities of multiple autonomous agents. The need for coordination arises because agents have to share resources and expertise required to achieve their goals. Previous ..."
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Cited by 178 (2 self)
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, we propose learning as a means to provide additional possibilities for effective coordination. We use reinforcement learning techniques on a block pushing problem to show that agents can learn complimentary policies to follow a desired path without any knowledge about each other. We theoretically
Autonomous Learning from the Environment
- W. H. Freeman and Company
, 1994
"... Contemporary artificial intelligence systems depend heavily upon their programmers for their knowledge about the world in which they must act. Robotics is only beginning to provide the sensory and motor capabilities that they require when they must interact with the physical environment. And even wh ..."
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Cited by 114 (23 self)
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Contemporary artificial intelligence systems depend heavily upon their programmers for their knowledge about the world in which they must act. Robotics is only beginning to provide the sensory and motor capabilities that they require when they must interact with the physical environment. And even
Results 1 - 10
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