Learning 2011 - 1st International Conference on Learning Analytics and Knowledge
Topics/Call fo Papers
Learning Analytics & Knowledge will be held February 27-March 1, 2011
Please submit papers through Learning Analytics EasyChair conference system
Conference organizers are seeking submissions of papers addressing the following topics:
Technical:
Software development and use in analytics
The role of knowledge representation and ontologies in
personalization and adaptation
The semantic web and linked data: meaning in connections
Data mining
Artificial intelligence in education - blending machine and human learning
Internet of things (sensors) and learning applications
"Big Data" applications and opportunities in learning and education
Latent semantic analysis/natural language processing
Attention metadata
Architecture of learning environments and implications to learning analytics
Application:
Visualization: data, learner networks, conceptual knowledge
Predictive applications of data
Interventions based on analytics
Social and technical systems to manage information abundance
Personalization and adaptivity in the learning process
Corporate and higher education case studies of learning analytics
Conceptual:
Learning and pedagogical models
Learning sciences
Social network analysis
Cognitive modelling
Context aware systems
Informal learning: integrating learning and knowledge systems
Privacy & ethics in learning analytics
Learning design & analytics
Planning:
Aggregation
Importing insights for existing analytics
Intelligent tutoring systems
Software needed to advance learning analytics as a field
Open data: data access for learners
Harmonizing individual learning with organizational learning
Submission Guidelines:
Max 15 pages
Technical papers: max 25 pages
Please direct any questions or comments to gsiemens-AT-gmail.com
Please submit papers through Learning Analytics EasyChair conference system
Conference organizers are seeking submissions of papers addressing the following topics:
Technical:
Software development and use in analytics
The role of knowledge representation and ontologies in
personalization and adaptation
The semantic web and linked data: meaning in connections
Data mining
Artificial intelligence in education - blending machine and human learning
Internet of things (sensors) and learning applications
"Big Data" applications and opportunities in learning and education
Latent semantic analysis/natural language processing
Attention metadata
Architecture of learning environments and implications to learning analytics
Application:
Visualization: data, learner networks, conceptual knowledge
Predictive applications of data
Interventions based on analytics
Social and technical systems to manage information abundance
Personalization and adaptivity in the learning process
Corporate and higher education case studies of learning analytics
Conceptual:
Learning and pedagogical models
Learning sciences
Social network analysis
Cognitive modelling
Context aware systems
Informal learning: integrating learning and knowledge systems
Privacy & ethics in learning analytics
Learning design & analytics
Planning:
Aggregation
Importing insights for existing analytics
Intelligent tutoring systems
Software needed to advance learning analytics as a field
Open data: data access for learners
Harmonizing individual learning with organizational learning
Submission Guidelines:
Max 15 pages
Technical papers: max 25 pages
Please direct any questions or comments to gsiemens-AT-gmail.com
Other CFPs
- Combined Scientific Meeting 2011
- Conference on Computational Linguistics and Speech Processing (ROCLING 2010)
- First ACM Conference on Data and Application Security and Privacy ACM CODASPY 2011
- CISW-SG 2010 Smart Grid Survivability Workshop
- 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2011)
Last modified: 2010-09-30 07:47:29