17 January. 2021
CEPEH Project in the long term expects to influence the development of medical curricula with this digital innovation, foster the quality of the future healthcare workforce and further improve international competitiveness of the partners’ healthcare curricula.
There is a growing evidence around chatbots, machine conversation systems, that these programs have the potential to change the way students learn and search for information. Chatbots can quiz existing knowledge, enable higher student engagement with a learning task or support higher-order cognitive activities. In large-scale learning scenarios with more than 100 students per lecturer, chatbots can solve the problem of individual student support and contribute to personalised learning. However, limited examples of chatbots in European Healthcare Curricula have been utilised to combine both the continuum of cognitive processes with the idea that some repetitive tasks can be done with a chatbot to provide greater access or to scale faculty time. Thus, CEPEH, an ERASMUS+ strategic partnership will co-create open access chatbots utilising artificial intelligence promoting innovative practices in digital era, by supporting current curricula and fostering open education. CEPEH consortium expects that students will adopt this new digital pedagogy and improve their skills and competences through flexible personalised learning, while the teaching staff will enhance their e-learning tool co-creation competences and make use of co-design best practices and recommendation for use.
The successful candidate will be: (1) designing and developing Virtual Reality environments; (2) programming tracking devices (such as Arduinos), and or bio-signal devices (such as myo armband) suitable to the needs of a people with dementia and cancer patients; and (3) analysing bio-signals.
• Bachelor or master’s degree in one of the following areas or a related area: computer science, graphic design, digital arts, cognitive systems.
• Programming skills in C++ or C#, and familiarity with game engines such as Unity3D and Unreal Engine. Experience with VR development.
• Ability to create 3D models to be used in VR applications. Proficiency in 3DS Max, Maya or other 3D modeling software and Photoshop. Knowledge and ability to implement the full game asset pipeline, with experience in Substance Design a plus.
• Bio-signals Analysis skills, preferably in Electrocardiography (ECG), Photoplethysmogram (PPG), Electromyography (EMG), Electrodermal Activity (EDA).