Get the best of both worlds with this STEAM Super Day. This super course covers Artificial Intelligence in the Future Focused School and Practical Filmmaking Skills in the Future Focused Classroom.
Dive right into a hands on practical filmmaking workshop. Teachers will collaborate through an array of filmmaking activities covering all aspects of shooting scenes through to editing.
Filmmaking is a highly engaging use of technology in the classroom that actively promotes narrative writing, teamwork, creativity, drama and technical skills. Improves visual literacy for students in a world of increased visual communication media. It gives you transferrable skills that can be used with any recording devices at your school.
Teachers will gain insights and skills to be high quality facilitators of student interaction with Artificial Intelligence technologies using a range of ICT in the classroom including cameras, laptops, algorithms, AI & Machine Learning software and sound equipment. Teachers will learn about and implement advanced neural networks to perform tasks from student created data.
This part of the course allows teachers to become more skilled in 21st Century future focused Artificial Intelligence technology and tools, addressing. Teachers will be able to incorporate AI and machine learning technology into their Digital Technology Syllabus programming.
This course is fantastic for K-12 teachers who are interested in becoming skilled in 21st Century future focused Artificial Intelligence technology and improving visual literacy with filmmaking.
Walk away with:
- Booklet supporting the learning.
- Digital resources supporting course content for implementation in the classroom.
- Filmmaking digital resources including examples and videos from the session to support implementation in the classroom.
Face to Face
Completing Artificial Intelligence in the Future Focused School will contribute to a total of 2 hours of NESA Registered PD addressing 2.6.2 and 6.2.2, from the Australian Professional Standards for Teachers towards maintaining Proficient Teacher Accreditation in NSW.
Completing Practical Filmmaking Skills in the Future Focused Classroom will contribute to a total of 3 hours of NESA Registered PD addressing 2.6.2, 3.4.2 and 6.2.2, from the Australian Professional Standards for Teachers towards maintaining Proficient Teacher Accreditation in NSW.
PLEASE NOTE: This course is NESA registered through Future Film Stars and Neuranext. They will submit all NESA attendance requirements. Teacher Professional Development is the booking agent for this course only. If you have any questions regarding NESA registration please contact firstname.lastname@example.org.
2.6.2 Proficient Level – Use effective teaching strategies to integrate ICT into learning and teaching programs to make selected content relevant and meaningful.
3.4.2 Proficient Level – Select and/or create and use a range of resources, including ICT, to engage students in their learning
6.2.2 Proficient Level – Participate in learning to update knowledge and practice, targeted to professional needs and school and/or system priorities.
3 hours – Practical Filmmaking Skills in the Future Focused Classroom
2 hours – Artificial Intelligence in the Future Focused School
Session 1 – Storytelling for screen
- Storytelling for screen: Narrative structure unique to screen, Script as text type, Genre, Scaffolding student ideas and screenwriting, student acting.
Session 2 – Shooting Scenes and Editing
- Shooting Scenes: Green screen for multiple purposes, action shooting in a school setting, framing, camera and sound operation, lighting.
- Editing: Green screen backgrounds, action sequences, Editing as punctuation, audio, finalizing your product for publishing.
Session 3 – Introduction to Artificial Intelligence
- Introduction and brief history of AI and its core scientific concepts and mathematics.
- Detailed explanation of multi layer (Deep Learning) Neural Networks including the mathematics inside each neuron, input layers, hidden layers, output layers. Forward and Back Propagation with optimisation in Deep Learning.
Session 4 – Application on Artificial Intelligence to learning and Autonomous Vehicles
- Working with examples of teacher created data, applying AI models to learn from the data and then output labels for the data and how this can be applied in the classroom.
- Current and future applications of AI and their implications for the future of work for students. Reflection on how AI can be implemented into teacher’s programs.
- Using Autonomous Vehicles we will train computer vision A.I. cars to self drive on a large car track demonstrating the workflow to collect data, train and deploy a cutting edge experimental and highly world changing implementation of A.I.