Open social student modeling: visualizing student models with parallel introspectiveviews
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Peer-Based intelligent tutoring systems: a corpus-oriented approach
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Learning support and legally ruled collaboration in the virtuallife virtual world platform
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
eMUSE - integrating web 2.0 tools in a social learning environment
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
Learn-B: a social analytics-enabled tool for self-regulated workplace learning
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Motivational social visualizations for personalized e-learning
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
Learning activity sharing and individualized recommendation based on dynamical correlation discovery
ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
A social gamification framework for a K-6 learning platform
Computers in Human Behavior
Student Experiences with Mobile Electronic Updates from a Virtual Learning Environment
International Journal of Mobile and Blended Learning
Role-and relationship-based identity management for privacy-enhanced E-Iearning
International Journal of Artificial Intelligence in Education
E-portfolios in lifelong learning
Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
Expediting expertise: supporting informal social learning in the enterprise
Proceedings of the 19th international conference on Intelligent User Interfaces
Collaborative learning in multi-user virtual environments
Journal of Network and Computer Applications
Ecological content sequencing: from simulated students to an effective user study
International Journal of Learning Technology
| Hi-index | 0.00 |
We are teaching a new generation of students, cradled in technologies, communication and abundance of information. The implications are that we need to focus the design of learning technologies to support social learning in context. Instead of designing technologies that “teach” the learner, the new social learning technologies will perform three main roles: 1) support the learner in finding the right content (right for the context, for the particular learner, for the specific purpose of the learner, right pedagogically); 2) support learners to connect with the right people (again right for the context, learner, purpose, educational goal etc.), and 3) motivate / incentivize people to learn. In the pursuit of such environments, new areas of sciences become relevant as a source of methods and techniques: social psychology, economic / game theory, multi-agent systems. The paper illustrates how social learning technologies can be designed using some existing and emerging technologies: ontologies vs. social tagging, exploratory search, collaborative vs. self-managed social recommendations, trust and reputation mechanisms, mechanism design and social visualization.