INFINITE_TOOLKIT_GR

Με τη χρηματοδότηση της Ευρωπαϊκής Ένωσης. Οι απόψεις και οι γνώμες που διατυπώνονται εκφράζουν αποκλειστικά τις απόψεις των συντακτών και δεν αντιπροσωπεύουν κατ'ανάγκη τις απόψεις της Ευρωπαϊκής Ένωσης ή του Ευρωπαϊκού Εκτελεστικού Οργανισμού Εκπαίδευσης και Πολιτισμού (EACEA). Η Ευρωπαϊκή Ένωση και ο EACEA δεν μπορούν να θεωρηθούν υπεύθυνοι για τις εκφραζόμενες απόψεις. Μελέτη περίπτωσης 19: Διερεύνηση νέων ορίων της εκπαίδευσης με τη χρήση ανθρωποειδών ρομπότ - μια μελέτη περίπτωσης καινοτομίας με επίκεντρο τον ασθενή στην ψηφιακή εκπαίδευση στον τομέα της υγείας. General information Reference/Source: Connolly, C., Walsh, J. C., Worlikar, H., Ryan, L., Murray, A., O’Connor, S., Kelly, J., Coleman, S., Vyas Vadhira, V., Newell, E., & O‘Keeffe, D. T. (2022). Exploring new frontiers of education using humanoid robots – A case study of patient centred innovation in Digital Health Education. Irish Educational Studies, 41(1), 107–115. https://doi.org/10.1080/03323315.2021.2022514 University/HE institution: University Hospital Galway Course and subject domain: digital health education; specifically, self-management of hypoglycaemia in people with type 1 diabetes. The case study explored how humanoid robots could be used to enhance the education of patients on managing their condition. Aim: to evaluate the effectiveness of humanoid robots in enhancing the education provided to patients with type 1 diabetes regarding the self-management of hypoglycaemia. The study aimed to investigate whether the use of humanoid robots can provide a more engaging and effective way of educating patients in the management of their condition, compared to traditional educational approaches. Target group: patients with type 1 diabetes. The purpose of the study was to investigate the use of humanoid robots as a tool to enhance the education provided to these patients on the self-management of hypoglycaemia. Description of case AI tool used: DAVE is a humanoid robot that was used as a tool in the case study. It was programmed with an AI-based audio-visual interactive framework that was capable of visually recognising human features and beginning an interaction with the patient through the patient's audio feedback to questions. https://www.youtube.com/watch?v=YFpqdpLAGqA https://emea.softbankrobotics.com/ A detailed description of what happened: The robot was used to deliver an interactive Q&A session format that explained aspects of diabetes disease and condition management, with particular emphasis on the self-management of hypoglycaemia. Lessons learned Participants reported feeling engaged and satisfied with the effectiveness of the education delivered through DAVE. However, the study identified challenges in ensuring the digital literacy of participants, collecting feedback data in a meaningful way, and designing appropriate pedagogical considerations for robot teaching. Implications for practice The study concluded that the use of DAVE could be a successful tool in facilitating knowledge transfer and engaging patients in the learning process. Recommendations for future applications include stakeholder engagement in design and development and extending the results in larger-scale trials.

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