Adapting your assessments for Ai
Advances in Artificial Intelligence are already changing the way we think about Higher Education. One key impact will be how we assess student learning.
Advances in Artificial Intelligence are already changing the way we think about Higher Education. One key impact will be how we assess student learning.
Martin Simmons, Senior Lecturer in MACE, explains how he uses Turnitin Quickmarks and Turnitin rubrics, to provide detailed and consistent feedback to students. Utilising these tools additionally supports Martin’s work with GTA markers.
Assessment Forward Learning is a formative assessment framework that enables students to critically assess their peer’s work in a way that constructively develops their own understanding of upcoming assessment criteria.
Dr Therese Lawlor-Wright discusses how a project in the School of MACE moved to e-Assessment.
At the end of May 2021 the Faculty of Science and Engineering ran it’s second Blended Learning Conference.
Case Study: ManUniCast is a publicly accessible weather and air quality forecasting tool accessed through modern web browsers. It aims to support the teaching in the School of Earth, Atmospheric and Environmental Sciences, while also educating the public about how weather and air-quality forecasts are made.
Using Jupyter Notebooks to teach computational literacy.
Case Study: This project was set up to explore a way to enable all students to apply themselves to tutorial questions as well as affording the additional possibility of enabling students to remain anonymous when showing their maths workings to the class and when receiving feedback on these workings.
Case Study: Creating video for teaching and learning does not have to be complicated or time consuming to be effective. With a good plan and the right equipment you could produce some simple introductory videos similar to the ones produced by Dr Louise Walker, Associate Vice-Dean for Teaching and Learning within the School of Mathematics.
Case Study: Until recently, the School of Materials directed learners to paper-based resources to look at weave structures. This was becoming increasingly unpopular with learners, as the books with this information are expensive to buy and are in high demand in the University library.
Celina Jones from the School of Materials contacted the FSE eLearning team to propose the creation of an online catalogue of weave structures.