TeacherMatic Essentials: Reducing Workload Without Losing What Matters Most
TeacherMatic Essentials explores how structured AI can reduce workload, support inclusive practice and strengthen governance while keeping educators firmly in control.
TeacherMatic Essentials explores how structured AI can reduce workload, support inclusive practice and strengthen governance while keeping educators firmly in control.
Explore how a leading London multi-academy trust is implementing AI in a safe, strategic and pedagogically grounded way. This blog shares practical insights from Connect Education Trust and highlights how TeacherMatic supports curriculum alignment, reduces workload and enables consistent, organisation-wide adoption of AI in schools.
TeacherMatic, in collaboration with NILE, has launched ‘CEFR Alignment for Teachers: In the Age of AI’, a new online course for language teachers
Lessons from the Jisc AI Assessment Pilot reveal how AI is improving feedback consistency, reducing workload, and enabling more timely, high-quality feedback, while keeping educators firmly in control through human-in-the-loop approaches and the SAFE Framework.
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,