Supporting GCSE and A-Level Students Through Exam Season with the Right AI Tools
Discover practical AI tools teachers can use to reduce revision workload, support intervention, and help students feel more confident before exams.
Discover practical AI tools teachers can use to reduce revision workload, support intervention, and help students feel more confident before exams.
TeacherMatic, in collaboration with NILE, has launched ‘CEFR Alignment for Teachers: In the Age of AI’, a new online course for language teachers
The TeacherMatic Advanced Feedback Generator is designed to help educators deliver faster, clearer and more meaningful feedback while reducing workload. Discover how AI-supported hybrid marking keeps teachers in control.
A practical summary of our TeacherMatic Administration Webinar, covering admin tools, licence management, staff adoption, CPD, and useful rollout resources.
High-quality feedback is one of the most powerful drivers of learning, yet it has become increasingly unsustainable for educators. This article explores the feedback workload crisis, why timing and wellbeing matter, and how human-led AI can support authentic feedback at scale without compromising professional judgement.
In our recent TeacherMatic webinar, ‘AI in Further Education: Feedback, Adoption and Sector Practice,’ this question sat at the centre
High-quality feedback is one of the most powerful drivers of learning, yet it has become increasingly unsustainable for educators. This article explores the feedback workload crisis, why timing and wellbeing matter, and how human-led AI can support authentic feedback at scale without compromising professional judgement.
Now GenAI is frequently used in education by both teachers and students, its accessibility raises an important question for schools,
‘If you could ask AI to solve any ONE persistent problem in your school, what would it be?’ This is
High-quality feedback is one of the most powerful drivers of learning, yet it has become increasingly unsustainable for educators. This article explores the feedback workload crisis, why timing and wellbeing matter, and how human-led AI can support authentic feedback at scale without compromising professional judgement.