Difference between revisions of "AIED 2011"
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| Line 7: | Line 7: | ||
|Start date=2011/06/28 | |Start date=2011/06/28 | ||
|End date=2011/07/01 | |End date=2011/07/01 | ||
| + | |Submission deadline=2011/01/12 | ||
|Homepage=https://www.aied2011.canterbury.ac.nz/home | |Homepage=https://www.aied2011.canterbury.ac.nz/home | ||
|TibKatId=664312985 | |TibKatId=664312985 | ||
| Line 15: | Line 16: | ||
|Country=New Zealand | |Country=New Zealand | ||
|presence=presence | |presence=presence | ||
| + | |Workshop deadline=2011/01/19 | ||
| + | |has program chair=Gautam Biswas, Susan Bull | ||
| + | |Submitted papers=193 | ||
| + | |Accepted papers=49 | ||
| + | |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 | ||
}} | }} | ||
The 15. International Conference on Artificial Intelligence in Education (AIED) 2011 | The 15. International Conference on Artificial Intelligence in Education (AIED) 2011 | ||
Revision as of 13:10, 22 December 2021
| AIED 2011 | |
|---|---|
International Conference on Artificial Intelligence in Education
| |
| Ordinal | 15 |
| Event in series | AIED |
| Dates | 2011/06/28 (iCal) - 2011/07/01 |
| Presence | presence |
| Homepage: | https://www.aied2011.canterbury.ac.nz/home |
| Location | |
| Location: | Auckland, New Zealand |
| Important dates | |
| Workshops: | 2011/01/19 |
| Submissions: | 2011/01/12 |
| Papers: | Submitted 193 / Accepted 49 (25.4 %) |
| Committees | |
| PC chairs: | Gautam Biswas, Susan Bull |
| Table of Contents | |
,
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)