AI in education

AI in education

Effective Engagement

Supporting students with SEND

Ethical considerations and challenges

Personalised Learning

Smart Content Creation

Intelligent Grading Systems

With AI-powered learning platforms, students can now receive tailored content and guidance based on their individual needs and preferences.

AI can aid teachers in saving time and streamlining the educational process by utilising Natural Language Processing (NLP) algorithms to analyse and generate educational content.

Personalised Learning

Using Microsoft Teams Assessment Rubric to enable quick and effective feedback feeding into Power BI for AI-powered data analysis.

Using Microsoft Forms to auto-mark, provide feedback, and then enable accurate and immediate analysis of learning gaps.

Grading and assessment are the main components of education system, but these are time-consuming and subject to human error. AI can easily streamline the grading process and make it more accurate and efficient.

Intelligent Grading Systems

Microsoft Seeing AI is an app that helps the visually impaired to blind to understand more about who and what is around them.

AI provides access to learning and education for students with special needs: deaf and difficulty in hearing, people with ASD, visually impaired, dyslexia etc. Microsoft Read Aloud, Immersive Reader and Reading Progress support access to written text and improve literacy.

Improved access to education for students with SEND

Artificial Intelligence plays a crucial role in both assisting students and enabling teachers to create high-quality educational content. With the help of Natural Language Processing (NLP) algorithms, AI can effectively examine and generate educational material, reducing the effort and time required by teachers.

Smart Content Creation

Teachers can use programs like ChatGPT and Microsoft BING to help draft lesson plans and resources.

The key advice is that AI-powered resources and solutions are drafts at best. There should always be a human in the room with AI. Key questions, directions, and responses.

While the applications of AI in education offer tremendous potetnial, there are also ethical considerations and challenges that need to be addressed. Data privacy, allgorithmic bias, and the need for human intervention are some of the key concerns that need to be carefully navigated in the implementation of AI in education.

Ethical considerations and challenges

AI can enable learners to better identify their learning needs, enable improved access to learning, and promote independence and resilience.

AI can empower the pastoral teams to monitor the welbeing of students efficiently and with privacy. Patterns can be identified through AI-powered processes enabling teachers and pastoral staff to plan explorative and intervention strategies. In class, teachers can use AI to identify engagement trends, learning gaps, and intervention needs.

Effective Engagement