Conclusion and references

Photo by Markus Spiske on Unsplash 

In an era defined by rapid technological advancements, the integration of AI into educational settings has emerged as a pivotal consideration for educators worldwide. Recognising the significance of this paradigm shift, the AI-Teach project endeavours to equip educators with the requisite knowledge and tools to effectively leverage AI in their pedagogical practices.

The Handbook serves as a valuable guide for educators seeking to enhance student learning outcomes through innovative teaching practices addressing the challenges and opportunities associated with integrating AI-driven tools into primary education. Within its pages, educators will find essential insights, methodologies, practical activities, and successful examples for effectively incorporating AI tools responsibly into classroom instruction, ultimately empowering educators to adapt their teaching methods to the evolving educational landscape.

As educators embark on this transformative journey, it is crucial to equip them with the knowledge, tools, and confidence needed to navigate the complexities of the digital age and unlock new opportunities for student success. By embracing AI responsibly and integrating it into their teaching practices, educators can foster a learning environment that prepares students for the challenges and opportunities of the future.

• Council of Europe. (2022). Artificial intelligence and education: A critical view through the lens of human rights, democracy, and the rule of law. In https://rm.coe.int/go-digital-newsletter-6-december-2022/1680a94aed (No. 978-92-871-9236–3). Retrieved on February 3, 2023, from https://rm.coe.int/artificial-intelligence-and-education-a-critical-view-through-the-lens/1680a886bd

• Engelfriet, A. (2022, September 25). AI Act: how to limit the risks of AI? Tweaker. https://tweakers.net/reviews/10500/ai-act-hoe-beperken-we-de-risks-van-ai.html

• European Commission. (2022). Ethical guidelines on the use of artificial intelligence and data in teaching and learning for educators. In https://education.ec.europa.eu/news/ethical-guidelines-on-the-use-of-artificial-intelligence-and-data-in-teaching-and-learning-for-educators (NC-07 -22-649-NL-N). Retrieved on February 3, 2023, from https://education.ec.europa.eu/document/ethical-guidelines-on-the-use-of-ai-and-data-in-teaching-and-learning-for-educators

• Kampakis, S. (2022, June 22). Explanation of the different types of artificial intelligence. The Data Scientist. https://thedatascientist.com/different-types-ai-explained/

• Already familiar with DALL·E 2? (n.d.). www.vlaanderen.be. https://www.vlaanderen.be/kenniscentrum-digisprong/themas/informatie/artificiele-intelligentie/ken-je-dalle-2-al

• Mwiti, D. (2023, January 31). 10 real-life applications of reinforcement learning. Neptune.ai. https://neptune.ai/blog/reinforcement-learning-applications

• Kennisnet Foundation. (2022, November 10). Artificial intelligence. Kennisnet. https://www.kennisnet.nl/publicaties/artificial-intelligence/

• UNICEF. (2021). Policy guidance on artificial intelligence for children. In https://www.unicef.org/globalinsight/media/2356/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0-2021.pdf. Retrieved on February 3, 2023, from https://www.unicef.org/globalinsight/media/2356/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0-2021.pdf