ESSA - DF - Congressos e eventos científicos (inclui comunicações e posters em atas de conferências/encontros científicos)
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- Use of artificial intelligence by physiotherapy educators and researchersPublication . Alves Lopes, António; Valero, Pedro; Alessie, JeroenBackground: The rapid development of Artificial Intelligence (AI) technologies offers promising opportunities to transform sectors such as healthcare and education. In physiotherapy, AI has the potential to enhance teaching and research in higher education by introducing innovative learning tools, improving data analysis, and supporting personalized student engagement. AI could also optimize data management, increase the accuracy of clinical studies, and promote interdisciplinary collaboration. However, the integration of AI in physiotherapy education and research presents challenges, particularly regarding ethical issues such as data privacy and bias in AI algorithms, which require careful consideration. Purpose: This survey aimed to assess physiotherapy educators and researchers knowledge, usage, attitudes, concerns, and needs regarding AI integration in education and research. Methods: A descriptive and observational study was conducted using an online survey, distributed through the European Network of Physiotherapy in Higher Education (ENPHE) newsletter and other professional platforms during the 2023-2024 academic year. The survey was designed to assess teachers' knowledge of artificial intelligence (AI), their use of AI in teaching and research, their attitudes toward the integration of AI in health professions education and research, as well as their needs, concerns, and perceptions of risks related to AI. Likert-scale questions were used to systematically collect data, providing a structured evaluation of teachers' perspectives on AI in educational and research contexts. Results: A total of 139 responses were collected from participants across 28 different countries. The collected data was analyzed using descriptive statistics, providing insights into the current state of AI knowledge, usage, and attitudes among physiotherapy educators and researchers. The results of the study show that physiotherapy educators and researchers generally have a positive perception of AI, recognizing its potential to enhance both education and research within their field. Most respondents acknowledge the benefits AI can bring to teaching, such as improving educational processes and personalizing student engagement, as well as optimizing research by enhancing data management and analysis. However, ethical concerns persist, with over respondents expressing reservations. Key concerns include data privacy, and the necessity for clear ethical guidelines to govern the use of AI in educational and research contexts. Additionally, respondents identified a need for increased training and institutional support to effectively integrate AI into their work Conclusion(s): The findings of this study highlight a generally positive attitude towards the integration of AI in physiotherapy education and research, with educators and researchers recognizing its potential to improve teaching and research outcomes. However, significant concerns remain regarding ethical issues such as data privacy and algorithmic bias. Implications: To address these concerns and ensure a successful integration of AI, there is a clear need for increased AI literacy, targeted training, and the development of comprehensive ethical guidelines. Enhancing institutional support and fostering open dialogue on these issues are crucial steps to promote informed, responsible, and effective use of AI in physiotherapy education and research.
- Use of Artificial Intelligence in physiotherapy education and research in european higher education institutionsPublication . Alves Lopes, António; Valero, Pedro Chana; Alessie, JeroenThe emergence of Artificial Intelligence has the potential to impact the education of health professions (Veras, 2024). This study aimed to understand the perceived knowledge, usage patterns, attitudes, concerns, and necessities of physiotherapy educators and researchers regarding AI integration in European higher education institutions. The sample was composed of educators and researchers involved in physiotherapy education across various European countries. The data was collected using an online survey disseminated through the European Network of Physiotherapy in Higher Education (www.enphe.org) newsletter and online platforms. The data collection period spanned from October 2023 till April 2024. The survey results indicate a generally positive perception and understanding of AI among physiotherapy educators and researchers. Most respondents agree on the potential benefits of AI in both education and research, highlighting its capacity to enhance teaching and optimize the research processes. However, as identified in other studies (Shorey et al , 2024), there are concerns regarding the ethical implications of AI integration, with over one-third of respondents expressing reservations. These concerns primarily revolve around data privacy, potential biases, and the need for clear ethical guidelines to govern AI use in educational and research contexts. The data suggests a need to increase the knowledge of physiotherapy educators and researchers towards the integration of AI and facilitate dialogue around ethical issues. Enhancing AI literacy and addressing ethical concerns are important for the successful integration of AI in physiotherapy education and clinical practice, ensuring informed and ethical use.