MagicSchool at Discovery College

MagicSchool is an interactive digital platform that enables teachers to create engaging learning experiences for students. It allows educators to launch virtual classrooms where students can participate in various activities, collaborate with peers, and access resources tailored to their learning needs. By utilising MagicSchool, teachers can enhance lessons, provide real-time feedback, and foster a more interactive and supportive learning environment.

Through close collaboration with MagicSchool, we are pleased to announce that we have secured school Google sign-in access for our students. This enhancement not only helps us monitor how students engage with the tool but also reinforces our commitment to ensuring data privacy, security, and child protection.

MagicSchool has been vetted and approved by ESF center and is being used as the trusted GenAI platform across all ESF schools.

ESF Stance and Supporting Material

A copy of the ESF Ethical Integration of GenAI is attached below for your reference.

DC Stance and Supporting Material

This is a 'live' document that will be updated when required due to changes/developments in the area of GenAI. The purpose of the document is to outline and provide guidance and support in integrating GenAI into our practices.

Please refer to the GenAI Guidance document attached below.

GenAI Integration Scale (adapted from Leon Furze)

This is an adaptation of the Leon Furze GenAI Assessment scale. However, we believe the use of GenAI SHOULD NOT be limited to assessments but integrated where opportunities exist. 

In practice the scale is referenced BEFORE a given task and can be discussed with students, so that both staff and students are clear on HOW and WHY GenAI can or cannot be used in the given task.

Here are a few parent tips on how to use GenAI with your children:

Click HERE to download.

Additional Resources

The Truth About AI  (Royal Institute Christmas Lectures 2023) - this is a series of lectures aimed at tweens/teenagers to help them understand complex issues surrounding the field of AI. Each lecture is approximately 1 hour in length. 

Lecture 1, Lecture 2 and Lecture 3.