​Using AI in the Classroom- a Headteacher's/SLT guide to opportunities and challenges

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Course Description:

The Using AI in the Classroom course is designed to help school leaders understand how artificial intelligence (AI) can be integrated into teaching and learning, and the opportunities and challenges that come with it. Participants will learn how AI technologies can support student learning, enhance teacher efficacy, and streamline administrative tasks. The course covers a range of topics, including natural language processing, machine learning, chatbots, and data analytics.

 

Key Learning Objectives:

Understand the principles and benefits of AI in education.
Learn how AI technologies can support student learning, enhance teacher efficacy, and streamline administrative tasks.
Develop strategies for adopting AI technologies in the classroom, including identifying key use cases and choosing the right tools and platforms.
Explore different types of AI technologies, including natural language processing, machine learning, chatbots, and data analytics, and their applications in education.
Discover best practices for collecting, analyzing, and using data to drive decision-making in educational organizations.
Develop strategies for promoting responsible AI use, including ethics, privacy, and security considerations.
Learn how to measure and evaluate the impact of AI on teaching and learning outcomes.
Gain hands-on experience with AI technologies through guided exercises and real-world examples.

 

Who Should Take This Course:

This course is suitable for school leaders, including headteachers, principals, and members of senior leadership teams (SLTs), who want to develop the skills and knowledge needed to integrate AI into their teaching and learning practice effectively. It is particularly useful for leaders who want to leverage the power of AI to support personalized learning, enhance teacher efficacy, and improve organizational efficiency.

Delivery Format:
This course is delivered online through a combination of self-paced learning modules, live webinars, and interactive exercises. Participants will have access to a range of resources, including video tutorials, user guides, and support forums, to help them master the key concepts and skills covered in the course.

Course Duration:
The course is designed to be completed within 4-6 weeks, depending on the pace of learning and level of engagement. Participants can work through the modules at their own pace and schedule but are encouraged to complete the course within the recommended time frame to maximize their learning outcomes.

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