Using Learner Analytics impactfully for student support via StREAM

M6.08 Middlesbrough Tower

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.

LTExChange Symposium Event – Decolonising Learning and Teaching

MS Teams

In this keynote talk we will explore issues of power, privilege, and pedagogy in our post pandemic learning landscape. We are delighted to welcome Professor Sally Everett (Kings College London, UK) as keynote speaker for the second LTExChange Symposium of the year.

Questions of English in the classroom

MS Teams

In this session, ‘Questions of English in the classroom’, the English Language Centre will lead an exploration of approaches to effective communication, how audience and purpose play a role in this consideration and what strategies can be used to promote better understanding for all students.

ChatGPT: How do I use it as a force for good?

QAA Weblink

It’s right to address the threat ChatGPT poses to academic integrity.  But it’s also an amazing new tool.  How can ChatGPT support and facilitate deeper learning? How can it make teaching easier? This online panel discussion will explore the opportunities ChatGPT presents the sector, from admin, to teaching, to learning.

ChatGPT: What should assessment look like now?

QAA Weblink

How do you design assessments now that students can use ChatGPT? What does ‘innovative authentic assessment’ even mean? Do I have to re-write all my modules? This online webinar will unearth the true meaning of authentic assessment and give attendees real life examples of assessment design that account for ChatGPT but still offer an accurate way to assess what a student has learned.

Designing Learning Experiences on Blackboard Ultra

M3.04

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.

Introduction to Academic Workload at TU

MS Teams

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.

Using Learner Analytics impactfully for student support via StREAM

M3.04

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.