Helping leaders understand the drivers of teaching capacity to inform better decisions on teaching delivery, portfolio design and workforce planning.
Universities are under increasing pressure to reduce teaching costs while improving student outcomes. To achieve this, leaders are rethinking what and how they teach, focusing on innovative design and efficient use of teaching capacity to deliver high-quality education with limited resources. However, progress is often hindered by poor-quality data, disparate tools, and lack of visibility for senior staff to assess the impact of portfolios, approaches and workload distribution practices.
Teaching Effort Analytics is a solution which provides universities with a comprehensive view of teaching effort and access to new insights, including:
Teaching Effort
Robust, comparative analysis of the availability and deployment of academic capacity for teaching down to the sub-discipline level
Drivers of Effort
Granular insights on the drivers of teaching capacity and the impact of taught portfolio size and shape, academic workload practices, and teaching models
Lead practice
Access to peer forums, case studies and expert advice on how to invest and innovate in teaching to enable scale and growth
Why Teaching Effort Analytics?
Improve Academic Workforce Planning
Empower staff with greater transparency in teaching resourcing decisions and workforce planning
Understand how your teaching capacity and cost compares to other institutions globally
Support evidence-based dialogue on investment in the academic workforce within and across discipline areas
Empower academic leads with robust benchmarks to support local decision making on teaching allocations and workforce requirements
Inform Changes to Workload Allocations
Refine academic workload models to enable sustainable teaching allocations and improved student experience
Gain a robust and comparative view of teaching allocation models across all areas of teaching
Identify areas of under- and over-resourcing and where this might be impacting academic workloads, cost of delivery and the student experience
Better manage teaching and coordination allocations to ensure sustainable and equitable teaching workloads
Optimise Taught Portfolio Size and Shape
Better manage the taught portfolio to enable more efficient teaching delivery and sustainable growth
Understand how your portfolio is impacting teaching effort and student choice
Identify opportunities to sustainably grow student enrolments within portfolio and workforce constraints
Optimise the taught portfolio in response to changing or declining student enrolments
Assess the cost of introducing new programs and disciplinary areas
Target Investment in Teaching Differently
Identify opportunities to improve teaching efficiency and outcomes through innovation and lead practice
Understand the range of teaching models in use at your university, and how these compare to other institutions
Identify where assessment practices are adding to teaching effort, driving use of GTAs, casual staffing costs and increasing moderation
Identify opportunities to focus effort on teaching and student interaction and reduce time on unnecessary effort
Plan, Deliver and Track Changes in Teaching
Leverage data and tools to design, model and monitor impacts of changes to teaching delivery investments
Evaluate the impact of changes to taught portfolio, academic resourcing and pedagogy
Identify opportunities and model the impact of new changes teaching effort and delivery
Inform robust business cases for investment in curriculum and pedagogy transformation
Improve Academic Workforce Planning
Empower staff with greater transparency in teaching resourcing decisions and workforce planning
Understand how your teaching capacity and cost compares to other institutions globally
Support evidence-based dialogue on investment in the academic workforce within and across discipline areas
Empower academic leads with robust benchmarks to support local decision making on teaching allocations and workforce requirements
Inform Changes to Workload Allocations
Refine academic workload models to enable sustainable teaching allocations and improved student experience
Gain a robust and comparative view of teaching allocation models across all areas of teaching
Identify areas of under- and over-resourcing and where this might be impacting academic workloads, cost of delivery and the student experience
Better manage teaching and coordination allocations to ensure sustainable and equitable teaching workloads
Optimise Taught Portfolio Size and Shape
Better manage the taught portfolio to enable more efficient teaching delivery and sustainable growth
Understand how your portfolio is impacting teaching effort and student choice
Identify opportunities to sustainably grow student enrolments within portfolio and workforce constraints
Optimise the taught portfolio in response to changing or declining student enrolments
Assess the cost of introducing new programs and disciplinary areas
Target Investment in Teaching Differently
Identify opportunities to improve teaching efficiency and outcomes through innovation and lead practice
Understand the range of teaching models in use at your university, and how these compare to other institutions
Identify where assessment practices are adding to teaching effort, driving use of GTAs, casual staffing costs and increasing moderation
Identify opportunities to focus effort on teaching and student interaction and reduce time on unnecessary effort
Plan, Deliver and Track Changes in Teaching
Leverage data and tools to design, model and monitor impacts of changes to teaching delivery investments
Evaluate the impact of changes to taught portfolio, academic resourcing and pedagogy
Identify opportunities and model the impact of new changes teaching effort and delivery
Inform robust business cases for investment in curriculum and pedagogy transformation
What University Leaders Say
“UniForum has benefited us through its valuable networking opportunities and by enabling objective benchmarking of costs on a like for like basis. Its structured data has provided excellent insights and prompted us to ask ourselves challenging questions about service delivery models, efficiency and effectiveness.”
Adrienne Cleland
Deputy Vice-Chancellor Operations & Registrar, University of Auckland, NZ
“UniForum is helping us to have data driven conversations around our services so that we can work together across the university to reduce complexity and increase satisfaction.”
Aimie Chapple
Vice-President (Operations), University College London (UCL), UK
“Using UniForum we have developed a greater understanding of our staff's daily roles, the benefits of which are not just about cost; it's about better structure and ensuring service capacity where needed.”
Greg Fowler
Vice-President Administration, University of Saskatchewan, Canada
"UniForum supports evidence-based change that enables truly transformational and enduring efficiency and effectiveness of professional services."
Mike Shore-Nye
Senior Vice-President and Registrar & Secretary, University of Exeter, UK
"UniForum has enabled Macquarie University to achieve improved clarity in our operational processes across faculties and portfolios, directly supporting resource allocation and service provision to our academic and student communities. "
Jonathan Wylie
Vice-President Strategy, Planning and Performance, Macquarie University, Australia
Combining Teaching Effort Analytics with Professional Services Analytics and Service Effectiveness Assessment data provides university leaders with valuable insights to enhance the efficiency and effectiveness of professional services, student satisfaction and teaching delivery.