The RAISE Citizenship Training Digital Courses are carried out as part of the P4|Basic AI & Robotics Skills at University Level project that is developed in the Training program of RAISE Liguria.
The project is aimed at students at all university courses, but is also open to interested citizens, to increase awareness and autonomy in the use of advanced digital skills.
At the end of the course an open badge will be issued to everyone and, to Unige students, also 1 CFU.
The acquired CFU will result as an additional CFU (free) in the Supplement Diploma.
The CFU can also be recognised by the study course as curricular CFU, mainly as other activities, where they are considered important for the achievement of the stated educational goals: in this case, the student must request it to their One-Stop Shop via mail, attaching ID. The study course will decide whether to accept the request and vary the study plan.
The goal of the training courses on the topics of AI and Robotics is to increase the level of awareness and boost the ability to use advanced digital skills, ensuring, regardless of the sector of specialization, the acquisition of sensitivity, culture and basic skills in Artificial Intelligence (AI) and Robotics.
Basic Level Course.
The course aims to provide a solid understanding of the fundamentals of Artificial Intelligence (AI) and its applications in physiotherapy rehabilitation. Participants will gain practical skills in using various AI technologies, including mobile applications, robotics, and sensors, with the goal of improving patients' physical functionality and quality of life. Furthermore, the course will explore the benefits and challenges associated with implementing specific AI solutions in physiotherapy contexts, allowing participants to evaluate real-life case studies of AI applications in rehabilitation programs and their clinical outcomes. Finally, the course will enhance participants’ critical thinking skills by equipping them with the necessary tools to effectively integrate AI into everyday rehabilitation practices.
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Teaching is provided through interactive videos on the platform RAISE Aulaweb that can be followed autonomously and in asynchronous mode.
The Course has a total duration of 25 hours, divided into modules of about 30 minutes. The teaching, designed by experienced teachers aided by educational innovation experts, is divided into:
At the end of the course, a questionnaire will be available to determine the degree of satisfaction of the course.
The training courses will be accessible without limitation.
Introduction to Artificial Intelligence and Physiotherapy Rehabilitation
Basic concepts of AI
Introduction to the relationship between physiotherapy and AI
AI Applied to Physiotherapy Rehabilitation: App-Based Systems
Health promotion apps
Home rehabilitation and remote monitoring apps
AI Applied to Physiotherapy Rehabilitation: Robotic Devices
Robotics for function rehabilitation
Robotics for function replacement
AI Applied to Physiotherapy Rehabilitation: Game-Based Systems and Wearable Devices
Gamification in rehabilitation
Activity monitoring through wearable sensors
Other AI Technologies in Physiotherapy Rehabilitation
Telemedicine
Data analysis and real-time feedback
Examples of Research Applications
Randomized controlled trials and clinical outcomes
Barriers and facilitators to implementation
Development and Implementation
Emerging tools and technologies
Future perspectives and innovations in AI for physiotherapy rehabilitation
Conclusions and Discussion
Final course evaluation
Discussion of feedback and future perspectives
GAIA BONASSI (President)
MARCO TESTA
ELISA PELOSIN (President Substitute)
Upon passing the final verification, once the satisfaction questionnaire is completed, you get an Open Badge, which certifies the acquisition of the Training to citizenship competence.
Unige students wanting to obtain the open badge and view the CFU in their career must include the citizenship training course with its code in their study plan, at the page formazione alla cittadinanza.
The CFU and the Open Badge will be available only after the registration of the final verification is done by the teacher in charge of the course.
If you want to enroll, click here: Intelligenza artificiale e riabilitazione fisioterapica: fondamenti e applicazioni
For more information, contact us at: formazione.raise@unige.it
