Difference between revisions of "AIED 2011"
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==Topics== | ==Topics== | ||
− | + | Topics of interest include, but are not limited to: | |
+ | |||
+ | 1. Modelling and Representation:<br> | ||
+ | *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:<br> | ||
+ | *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:<br> | ||
+ | *Natural language processing | ||
+ | *Data mining and machine learning | ||
+ | *Knowledge representation and reasoning | ||
+ | *Semantic web technologies and standards | ||
+ | *Social recommendations | ||
+ | *Social networks | ||
+ | |||
+ | |||
+ | 4. Pedagogical Models:<br> | ||
+ | *Inquiry learning | ||
+ | *Social dimensions of learning | ||
+ | *Social-historical-cultural contexts | ||
+ | *Informal learning environments | ||
+ | *Communities of practice | ||
+ | |||
+ | |||
+ | 5. Learning Contexts and Domains:<br> | ||
+ | *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:<br> | ||
+ | *Human-computer interaction | ||
+ | *Evaluation methodologies | ||
+ | *Experiences and lessons learned | ||
+ | |||
+ | |||
==Important Dates== | ==Important Dates== | ||
+ | Full Papers, Young Researchers Track papers: 12 Jan 2011 (23:59 GMT)<br> | ||
+ | Posters, Interactive Events: 14 Jan 2011 (23.59 GMT)<br> | ||
+ | Workshop, Tutorial Proposals: 19 Jan 2011 (23:59 GMT) |
Revision as of 13:06, 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 |
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)