ILearnRW · Integrated Intelligent Learning Environment for Reading and Writing

The aim of the project is to contribute towards a move away of traditional assistive software which uses a computer simply as an alternative to pen and paper and develop next generation learning software which uses a computer to facilitate the learning process for children with dyslexia and/or dysorthographia.<br/>The ILearnRW learning environment will demonstrate the following features:<br/>1. User modeling. A profile for each learner should be built. The profile should include, among others, the type of dyslexia and the errors the user is most likely to make.<br/>2. Teaching strategies. The interaction of a learning system with a child should be based on a teaching strategy that supports the individual user in fulfilling her specific learning goals.<br/>3. Classification of learning material. Content classification must be a major component in any content management system. To think about it, a tutor helping a child to learn reading/writing always selects appropriate learning material based on the child's needs and capabilities.<br/>4. Personalized content presentation. If we know the errors the user is likely to make, we can enrich the text presentation with visual cues by combining highlighting, text-reformatting and word segmentation. In addition, the type of dyslexia should also influence the presentation.<br/>5. Engaging learning activities. High degree of learner engagement is sought in any learning activity. To achieve this goal, we integrate learning activities into serious games. A creative game scenario, coupled with a positive reinforcement mechanism, will extend child's engagement.<br/>6. Evaluation of learning. When a game is coupled with a game usage logging mechanism, data collected related to the user's actions may lead to a quantitative assessment of learning.<br/>7. On-line resource bank. Coherent collections of data which support specific teaching strategies should be accessible to learners and educators.<br/>The ILearnRW environment will support the English and Greek languages