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.
This session will focus on the University’s Personal Tutoring Code of Practice; we will discuss its aims and rationale and the key principles that form the basic underpinning of the Code. This session is relevant to all new academic colleagues who are Personal Tutors within their Schools and may also be relevant to other academic and support staff who wish to find out more about Personal Tutoring at Teesside University.
Discussing the importance of embedding Fundamental British Values, Safeguarding and PREVENT into your curriculum to add value within the apprenticeship journey
To identify best practice within the progress review, undertaken by the AQC to support apprentice engagement and quality progress monitoring.
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.
To identify best practice within the progress review, undertaken by the AQC to support apprentice engagement and quality progress monitoring.
An overview of the peer review process, engaging in observation and feedback to enhance the delivery of the progress review meeting
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.
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.
An overview of the peer review process, engaging in observation and feedback to enhance the delivery of the progress review meeting
