AIIA 2012 - 1st AI in Education Workshop: Innovations and Applications (AIIA 2012)

Workshop Aim: The use of Information Technologies in Education has been extensively researched in the past few years with a plethora of solutions already in use by numerous organizations. However, user adoption difficulties in real situations has only demonstrated that the primary need is the design of techniques and tools that have a real practical impact and facilitate a paradigm shift in the educational model. This shift in the Educational paradigm is focused on knowledge construction, which will enhance, not replace, the classic information transfer paradigm. The management of knowledge in Educational contexts enables social learning, active collaboration among human peers and especially enhanced presence. The next generation of Information technology tools in Education will facilitate the transformation of information into knowledge, by humans as well as β??progressively- by software agents, providing the electronic underpinning for a global society in business, government, research, science and education.
Artificial Intelligence can be a major enabling technology for this type of Educational paradigm. AIβ??s application in Education is one of the oldest yet still promising and most exciting research topics with a significant practical impact. Especially Knowledge Management has yet much to offer in the way computing in education is used.
The goal of the Workshop is to assess the impact of Knowledge Management to current Educational practices and more significantly, to identify opportunities, benefits and drawbacks to current practices that will permit progress beyond the state of the art.
The Workshop aims at addressing theoretical and practical issues concerning new trends in knowledge discovery, acquisition representation, sharing and reuse.By accepting original contributions from platform and tool providers, researchers and system developers from academia and industry it soughts to be a forum for exchanging ideas and experiences, sharing of best practices and fostering further development in the application of AI in Education.
Workshop Topics: The workshop topics include but are not limited to the following applications of AI in Education:
Knowledge discovery, modeling, visualization, sharing and reuse
Knowledge Management and Social Learning
Knowledgeβ??based Learning Systems
Knowledge Relationship Discovery and Statistical Relational Learning
Learning theory and Knowledge Management
Knowledge Management and Learning Content
Knowledge management, sharing and reuse in Virtual Communities
Data mining techniques for Knowledge discovery
Ontology design, reuse and population
Machine Learning and Probabilistic Theory for adaptation techniques
Modeling user motivations and goals
Innovative Approaches to Knowledge Management in Education