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|Ordinal=15 | |Ordinal=15 | ||
|Type=Conference | |Type=Conference | ||
| − | | | + | |Official Website=https://www.aied2011.canterbury.ac.nz/home |
|TibKatId=664312985 | |TibKatId=664312985 | ||
|gndId=16162229-X | |gndId=16162229-X | ||
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|Country=Country:NZ | |Country=Country:NZ | ||
|has program chair=Gautam Biswas, Susan Bull | |has program chair=Gautam Biswas, Susan Bull | ||
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|has Proceedings DOI=https://doi.org/10.1007/978-3-642-21869-9 | |has Proceedings DOI=https://doi.org/10.1007/978-3-642-21869-9 | ||
|has Proceedings Bibliography=https://link.springer.com/book/10.1007%2F978-3-642-21869-9 | |has Proceedings Bibliography=https://link.springer.com/book/10.1007%2F978-3-642-21869-9 | ||
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|Workshop Deadline=2011/01/19 | |Workshop Deadline=2011/01/19 | ||
|Submission Deadline=2011/01/12 | |Submission Deadline=2011/01/12 | ||
| + | }} | ||
| + | {{Event Metric | ||
| + | |Number Of Submitted Papers=193 | ||
| + | |Number Of Accepted Papers=49 | ||
}} | }} | ||
{{S Event}} | {{S Event}} | ||
Latest revision as of 13:00, 19 October 2022
Deadlines
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Metrics
Submitted Papers
193
Accepted Papers
49
Venue
Auckland, New Zealand
Warning: Venue is missing. The map might not show the exact location.
The 15. International Conference on Artificial Intelligence in Education (AIED) 2011
Topics
Topics of interest include, but are not limited to:
1. Modelling and Representation:
- Models of learners, facilitators, tasks and problem-solving processes
- Models of groups and communities for learning
- Modelling learning contexts
- Modelling motivation, metacognition, and affective aspects of learning
- Ontological modelling
- Dealing with learner dynamics
- Handling uncertainty and multiple perspectives
- Representing and analysing discourse during learning
2. Models of Learning:
- Intelligent tutoring and scaffolding
- Intelligent games for learning
- Motivational diagnosis and feedback
- Interactive pedagogical agents and learning companions
- Agents that promote metacognition, motivation and affect
- Adaptive question-answering
- Multi-agent architectures
3. Intelligent Technologies:
- Natural language processing
- Data mining and machine learning
- Knowledge representation and reasoning
- Semantic web technologies and standards
- Social recommendations
- Social networks
4. Pedagogical Models:
- Inquiry learning
- Social dimensions of learning
- Social-historical-cultural contexts
- Informal learning environments
- Communities of practice
5. Learning Contexts and Domains:
- Learning in open web environments
- Collaborative and group learning
- Simulation-based learning
- Ubiquitous learning environments
- Learning grid
- Lifelong and workplace learning
- Domain-specific learning applications (e.g. language, mathematics, science, medicine, military, industry).
6. Evaluation:
- Human-computer interaction
- Evaluation methodologies
- Experiences and lessons learned
Important Dates
Full Papers, Young Researchers Track papers: 12 Jan 2011 (23:59 GMT)
Posters, Interactive Events: 14 Jan 2011 (23.59 GMT)
Workshop, Tutorial Proposals: 19 Jan 2011 (23:59 GMT)
