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Together with Turnitin, Teesside University is hosting an institution-wide event bringing together a wide range of academics and practitioners to discuss how we continue to reimagine the support for the development of students’ academic skills in light of generative AI tools.

New members of academic staff to Teesside University will be invited to attend a face to face induction session.

These Workshops are available to academic and professional staff who are involved in the progression and award of students through the Assessment Board process.

This session will focus around 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 will focus on information for student facing staff who might be presented with a student in distress. The session aims to inform staff about strategies they can use to de-escalate a situation and what questions to ask to find out relevant information to refer appropriately.

Workload Management in Teesside University comprises two key elements – the Academic Workload Management Framework (AWMF) and the Academic Workload System (AWS). The Academic Workload Framework provides a comprehensive, common and clear set of arrangements to recognise academic work activities and responsibilities with appropriate tariff allocations.  The Academic Workload System provides a fully integrated University systems infrastructure which ensures University management information is located and accessible in real-time to all stakeholders as appropriate throughout the year.

This session will introduce academic staff to the AWMF along with discussing the process of workload planning, publication and acceptance of workload allocations.

A series of monthly institution-wide sessions aimed at colleagues in Schools understand the basics of Blackboard Ultra and get to grips with the features they will be expected to use when setting up and delivering modules and assessing learning. A key feature of these sessions will be to help colleagues design impactful learning experiences on the VLE, ensuring that the VLE becomes an expansion of the learning ecosystem.

This event will critically consider what it means to meaningfully engage students and staff in increasingly digital communities of learning.

StREAM is the University’s learner analytics platform. The use of learner analytics is designed to support all our students in maximising their chances of success and realising their potential. SLAR will be hosting a series of monthly institution-wide sessions on StREAM aimed at teaching staff to will help you understand the platform and the affordances of learner analytics for timely student support.