Maoinithe ag an Aontas Eorpach. Mar sin féin is tuairimí agus tuairimí an údair amháin nó na n-údar amháin iad na tuairimí agus na tuairimí a nochtar agus ní gá go léiríonn siad tuairimí an Aontais Eorpaigh nó na Gníomhaireachta Eorpaí Feidhmiúcháin Oideachais agus Cultúir (EACEA). Ní fhéadfar an tAontas Eorpach ná EACEA a chur i gcuntas astu. Uimhir an tionscadail: 2023-1-NL01-KA220-HED-000155675. values, such as the freedom of expression and inquiry (open discussion), equality of opportunity and access, and accountability. Practical Implementation ● Professional Development: Seek training and professional development on AI to understand its capabilities and limitations. Stay updated on the latest developments in AI and adjust your practices accordingly. Embrace lifelong learning and encourage a culture of continuous learning among students. ● Critical Evaluation: Evaluate AI tools carefully, considering their effectiveness, reliability, alignment with your educational goals, and potential impact on student learning outcomes. ● Student Engagement: Involve students in the decisionmaking process regarding AI use in the classroom. Encourage them to explore AI responsibly and participate in discussions about its potential benefits and risks. ● Ethical Dilemmas: Be prepared to address ethical dilemmas that may arise from AI use and have a plan for responding to such situations. Develop a culture of open discussion and ethical decision-making in the classroom. ● Promote AI Literacy: Integrate AI literacy into your curriculum, encouraging students to understand how AI works, its potential benefits and risks, and how to use it responsibly. ● Discuss with colleagues: Collaborate with other educators to make more informed decisions and ensure a more consistent approach to using AI and data systems across schools. ● Collaborate with other schools: Share experiences and best practices and learn how other schools have implemented AI systems. This can also be useful in identifying and dealing with reliable providers of AI and data systems that adhere to the key requirements for trustworthy AI.
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