EAGER: programming repetitive tasks by example
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
The nature of statistical learning theory
The nature of statistical learning theory
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Animal-animat coevolution: using the animal population as fitness function
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
ISLANDER: an electronic institutions editor
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Cel: a framework for enabling an internet learning community
Cel: a framework for enabling an internet learning community
SimEd: Simulating Education as a Multi Agent System
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Towards the Application of Argumentation-Based Dialogues for Education
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Agent-based modeling of human education data
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Artificial Life
An agent-based methodology for analyzing and visualizing educational assessment data
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Agent-Based Simulation of Group Learning
Multi-Agent-Based Simulation VIII
Using Simulation to Evaluate Data-Driven Agents
Multi-Agent-Based Simulation IX
Modeling human education data: from equation-based modeling to agent-based modeling
MABS'06 Proceedings of the 2006 international conference on Multi-agent-based simulation VII
Knowledge-based environments for instructors' decision making in chemical process laboratory
Intelligent Decision Technologies - Special issue on knowledge-based environments and services in human-computer interaction
Toward the application of argumentation to interactive learning systems
ArgMAS'11 Proceedings of the 8th international conference on Argumentation in Multi-Agent Systems
Key Challenges in the Design of Learning Technology Standards: Observations and Proposals
International Journal of IT Standards and Standardization Research
| Hi-index | 0.00 |
One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds true for both human and machine learning environments. In Artificial Intelligence, there is a long tradition of studying human skill acquisition in order to design intelligent agents that learn. Using insight gained from analyzing co-evolutionary machine learners, we have been experimenting with human learning environments by simulating the interactions in a classroom. Here we detail our classroom model, formulated as an electronic institution. We describe the types of interactions that can occur between agents bearing one of two roles -- TEACHER or STUDENT - and define a dialogic framework and a performative structure for these agents. We share the results of simulation experiments, demonstrating how particular sets of interaction rules can correspond to certain styles of human teaching and learning.