Search
-
Reimagining workforce planning and staff retention through AI and data analytics powered OSI model
https://le.ac.uk/school-of-business/research/healthcare-innovation-policy-and-management/reimagining-workforce-planning-and-staff-retention-through-ai-and-data-analytics-powered-osi-model
The NHS staff shortage has been at the front and centre of the 2024 elections. However, simply hiring new staff is insufficient, given the lengthy training pathways and the limited pool of international recruits.
-
Your Career and Other Stories
https://le.ac.uk/modules/2024/en2290
Module code: EN2290
-
Your Career and Other Stories
https://le.ac.uk/modules/2025/en2290
Module code: EN2290
-
Your Career and Other Stories
https://le.ac.uk/modules/2026/en2290
Module code: EN2290
-
Sensory Reading: New Approaches to Teaching and Learning GCSE English Literature
https://le.ac.uk/research/projects/sensory-reading
Led by Professor Phil Shaw and Dr Scott Freer in the Department of English, ‘Sensory Reading’ aims to develop outreach opportunities arising from Phil Shaw’s AHRC Leadership Fellow project, Wordsworth 2020.
-
Leicester mini workshop, July 2018
https://le.ac.uk/miv/workshop-programme/july-2018-leicester-mini-workshop
We held a mini-workshop for the minimal surfaces project at the University of Leicester in July 2018.
-
Learning Outcomes Project: Academic and staff blogs from the University of Leicester
https://staffblogs.le.ac.uk/loproject/
Academic and staff blogs from the University of Leicester
-
Kerry Dobbins
https://staffblogs.le.ac.uk/loproject/author/kd154/
Kerry Dobbins is a Professional Development Advisor at the LLI. She works with colleagues to support the development of their teaching and supporting learning activities.
-
Statistical Data Analysis
https://le.ac.uk/modules/2024/ma7206
Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.
-
Statistical Data Analysis
https://le.ac.uk/modules/2025/ma7206
Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.