The ASE is delighted to be hosting its Annual Conference, generously sponsored by AQA, at the University of Nottingham from 9th to 11th January 2025. International sessions are incorporated throughout the event’s 3 days and we will have a great exhibition with lots of exclusive Conference offers. Post-16 focus-day and for those involved in leading and delivering professional development, the Teacher Developers’ Group programme is Thursday. Friday is the dedicated Technicians day, kindly sponsored by Philip Harris, and Early Career Teacher day. Sessions for both Primary and 11-19 are threaded throughout all 3 days with a focus on Research on Saturday.
Book your tickets now at https://ase2025AnnConf.eventbrite.co.uk - and remember, if you are an ASE member you will benefit from hugely discounted prices! Check out our membership here - it’s free for Early Career Teachers and only £25 for Technicians!
Objectives: Understand AI Fundamentals: Provide a clear understanding of basic AI concepts, including machine learning, neural networks, and data analysis, tailored to the middle school context. Explore AI Applications in Science Education: Demonstrate specific AI tools and applications that can be used to enhance science instruction and engage students. Develop Practical Skills: Offer hands-on experience with AI resources and activities that educators can directly implement in their classrooms. Address Ethical Considerations: Discuss the ethical implications of AI use in education, focusing on data privacy and bias, and how to navigate these challenges responsibly. Workshop Structure: Introduction to AI in Education (20 minutes): Brief overview of AI and its relevance to modern education. Discussion on the potential benefits and challenges of incorporating AI into the science curriculum. Interactive Demonstrations of AI Tools (30 minutes): Showcasing AI applications such as virtual labs, intelligent tutoring systems, and data analysis platforms. Live demonstrations on how these tools can simulate scientific experiments, provide personalized feedback, and enhance data literacy. Hands-On Activities (25 minutes): Participants will engage in interactive exercises using AI tools. Group activities where educators can brainstorm and design lesson plans incorporating AI technologies. Sharing of best practices and innovative ideas for classroom implementation. Ethical Considerations and Open Discussion (10 minutes): Addressing the ethical issues surrounding AI in education, including privacy concerns and algorithmic bias. Encouraging critical thinking and discussion among participants on how to ethically integrate AI in their teaching practices. Q&A and Closing Remarks (5 minutes): Open floor for questions and discussion to clarify doubts and provide additional insights. Summary of key takeaways and resources for further learning. Target Audience: Middle school science educators, curriculum developers, and educational technology specialists who are interested in integrating AI into their teaching practices to foster a more engaging and effective learning environment. Materials Provided: Detailed handouts on AI concepts and tools. Access to an online repository of resources, including lesson plans, software recommendations, and further reading materials. Conclusion: This workshop aims to empower middle school educators with the knowledge and skills to effectively integrate AI into their science classrooms. By providing practical tools and fostering a deeper understanding of AI's potential, we can inspire educators to enhance their teaching practices and better prepare students for the future.
