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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

    Moodle supports both synchronous and asynchronous learning environments, enabling educators to host live webinars, video conferences, and chat sessions, as well as providing a variety of tools that support self-paced learning, including videos, interactive quizzes, and discussion forums. The platform also integrates with other tools and systems, such as Google Apps and plagiarism detection software, to provide a seamless learning experience.

    Moodle is widely used in educational institutions, including universities, K-12 schools, and corporate training programs. It is well-suited to online and blended learning environments and distance education programs. Additionally, Moodle's accessibility features make it a popular choice for learners with disabilities, ensuring that courses are inclusive and accessible to all learners.

    The Moodle community is an active group of users, developers, and educators who contribute to the platform's development and improvement. The community provides support, resources, and documentation for users, as well as a forum for sharing ideas and best practices. Moodle releases regular updates and improvements, ensuring that the platform remains up-to-date with the latest technologies and best practices.

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Available courses

AI in Action: Neurophysiotherapy Edition

AI in Action: Neurophysiotherapy Edition is a short-term, skill-based course designed to introduce physiotherapy students and clinicians to the emerging role of Artificial Intelligence in neurological rehabilitation. The course integrates core neurophysiotherapy concepts with modern digital technologies to enhance assessment accuracy, clinical reasoning, and rehabilitation planning.

Participants will gain foundational knowledge of AI, machine learning, wearable sensors, motion analysis, robotics, and virtual reality applications relevant to neuro practice. Through case-based discussions and demonstrations, learners will understand how AI-supported tools can assist in managing conditions such as stroke, cerebral palsy, and Parkinson’s disease.

The course also emphasizes ethical considerations, data privacy, and the practical limitations of AI in healthcare, preparing learners to adopt technology responsibly. By the end of the program, participants will be equipped to interpret AI-generated data and integrate technology-assisted approaches into evidence-based neurophysiotherapy practice.