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This session will introduce academic staff to the Academic Workload Management Framework (AWMF) along with the process of workload planning, publication and acceptance of workload allocations.

A facilitative workshop for academic staff and professional services staff across the University, to come together to discuss the affordances of AI in Education, how it can be utilized in the classroom with students, how we can build AI literacies for staff and students and the efficiencies of AI in our daily roles.

In the fourth session of the series we will explore What does academic integrity mean in a culturally diverse learning environment?

This session will introduce staff to excellence in classroom delivery for Ofsted inspection. Appropriate for teaching staff, AQCs and Managers of apprenticeship provision.

Delivered via MS Teams this session will deliver the best practice in tracking the apprenticeship progress in attaining Knowledge, Skills and Behaviours as well as British Values and English and Maths development.

As a current Link Tutor at Teesside University you are invited to attend this staff development session to support you in undertaking this activity.

Delivered via MS Teams this session will deliver the best practice in tracking the apprenticeship progress in attaining Knowledge, Skills and Behaviours as well as British Values and English and Maths development.

Focusing on how we set apprentice starting points by utilizing the Skills Scan to inform the Training Plan and setting regular milestones for development.

The annual LTExChange Symposia Series will bring together and engage key stakeholders to support new thinking and share practice innovations as we consider what it means to be a truly “Connected University” in what is an increasingly uncertain higher education landscape.

StREAM is the University’s learner analytics platform. The use of learner analytics is designed to support our students in maximising their chances of success and realising their potential.