Didaskon

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Welcome to Didaskon Wiki.

Contents 1 Didaskon 2 Motivation 3 Realisation 4 Sub-projects 5 Team 6 Previous Team Members

Didaskon

Didaskon (διδάσκω - gr. teach) shall deliver a framework for composing an on-demand curriculum from existing learning objects provided by e-Learning services (formal learning). However, Didaskon also derives from Social Semantic Information Sources (SSIS) which are provide informal knowledge. By SSIS, we mean semantic blogs, semantic wikis, social semantic digital libraries etc. Then, the selection and work-flow scheduling of learning objects is based on the semantically annotated specification of the user's current skills/knowledge (pre-conditions), anticipated resulting skills/knowledge (goal) and technical details of the clients platform.

Didaskon has been started as a working group project at WETI, GUT and DERI Galway. The project is supervised by Sebastian Ryszard Kruk and Jacek Jankowski within the boundaries of eLITE e-learning project.

Motivation

Current e-Learning systems deliver predefined courses tailored for a generic student on one of the generic levels of skills/knowledge wishing to upgrade to the next level. Learning services usually do not take into account user specific conditions, like e.g. wishing to broaden his/her knowledge in wide range of domains at the same time. This results in situation where student has to "attend" different courses at the same time, but since they are not aligned some of the information is repeated in some of them. On the other hand some potentially interesting and helpful (in the process of studying) information might not be cross-referenced between courses.

Realisation

By introducing Semantic Web technologies to e-Learning services we can provide machine processable semantic description of:

• user's
  • knowledge level in different domains
  • goal/expectations from the course
  • technical availability specifications
  • previous evaluations
• learning objects
  • required/optional knowledge/skills/evaluations requirements
  • value added
  • cross-references with other services
  • pre/post-conditions
  • technical requirements specifications
• assessments
  • kind of evaluations/test/exams provided
  • users' evaluations on the learning
  • technical requirements specifications

By exposing existing learning objects and assessments services in the extensible P2P network the on-demand course scheduler will deliver curriculum services work-flow based on the semantic annotations on both users and learning objects. This curriculum will not only reflect user requirements and current state better, but will introduce new interdisciplinary, extensible and robust meaning of e-Learning. Based on the semantically annotated students profile and assessments system will allow more scalable helper features for students supervision.

Two key background research topics include:

• planning techniques (e.g. HTM Planning, AI Planning)
• composition and orchestration (e.g. research done by WSM* group in DERI Innsbruck)

Sub-projects

The following projects are beeing developed within Didaskon:

• Didaskon/IKHarvester (Informal Knowledge Harvester) - provides Didaskon with Learning Objects (LOs) described with LOM standard. These LOs are created from informal knowledge harvested from SSIS
• Didaskon/LOstRepository - LOstRepository (Learning Object Repository) is designed to store Learning Objects. Application offers functionality to upload well organized (according to SCORM standard) Learning Objects, browse through them, and what is most important: acquire them – thanks to Web Services technology.

Team

• Sebastian Ryszard Kruk - Project Manager
• Jacek Jankowski - Researcher, Developer

Previous Team Members

• Filip Czaja - Researcher, Developer
• Jarosław Dobrzański - Researcher, Developer
• Władysław Bultrowicz - Researcher, Developer