In the present study we present a mixed reality learning environment that aims to become a creative, joyful and efficient interdisciplinary canvas for learning about history and geography and for concurrently fostering computational thinking. The environment makes use of embodied affordances and educational robotics and consists of two parts: an augmented 3D-tangible model of southern Europe with finger-based interaction and a second floor-based augmented robotics track de-picting European landmarks, where students are asked to perform tasks with Mindstorms EV3 robots. The game scenario describes a treasure hunt around Eu-rope and students swap between finger-based and robotics-based interactive sur-faces in two pairs. For the evaluation of our intervention, six groups of four stu-dents played with the environment for approximately 45 minutes each. Data col-lection was performed through pre- and post-knowledge test, attitude question-naire and a semi-formal group interview. Students’ answers showed that the mixed reality environment improved their engagement and motivation and en-hanced their orientation around Europe’s geophysical features. The robotics as-pect consolidated further their computational thinking skills while being highly exciting. The proposed approach was closer to the student’s expectations and in-teractive experiences, successfully exploited embodied learning opportunities and gamified the learning process.

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Chronic mental illnesses pose a great burden on the lives of citizens worldwide. In modern health-care, decentralization and enabling the self management of patients at home are crucial factors in improving the every-day lives of patients and the people close to them. People in general tend to dislike obtrusive monitoring on their daily activities, so how can we implement a platform that can provide clinicians with adequate and concise information on their patients health status and at the same time be unobtrusive and easy to use. Moreover, how can we make such an unobtrusive system capable of providing the doctor with highimpact warnings on the patient's health status only when it is needed, thus relieving him of unnecessary workload? In this paper, the authors present a reconfigurable Event Detection mechanism used in the ALADDIN platform for Risk Assessment and Analysis. .

Telemedicine systems are nowadays making significant advances in healthcare by decentralising it, offering innovative services to patients and doctors worldwide, and making medical practice more efficient and cost-effective in a plethora of its subfields. There is although a field that has not yet been successfully coped with, even though it induces a significant burden, both socially and financially. This field includes patients suffering from dementia, as well as their carers, who run the risk of developing depression symptoms themselves and often face social withdrawal and heavy additional private costs. ALADDIN is a technology platform that intends to progress "state-of-the-art" in integration of existing technological solutions. In order to develop and validate an innovative monitoring system for health promotion, risk assessment, prevention and sustainable impact of self management tools and education for patients suffering from dementia and their care-givers. In this paper the authors present the envisaged services of the ALADDIN platform, the user requirements and ALADDIN's functional specifications..