The Magic of Scratch Cards for Immediate Feedback

Benjamin Bader, Senior Lecturer in International Human Resource Management in NUBS, combined the critical tenets of active learning and formative assessment by incorporating the active learning method of Immediate Feedback Assessment Technique (IFAT) scratch cards into the BUS3021 module, moving students away from the passive intake of information to a more engaged, dynamic learning process where they could apply their understanding to solve problems, think critically, while making learning enjoyable and stimulating.

Peer Mentoring Induction Period Challenge – ‘Develop a strategy to raise awareness of one of the UN’s Sustainable Development Goals to students on your course’

This challenge gave students the opportunity to become familiar with the UN Sustainable Development Goals, work as a team and demonstrate their creativity. Find out how it worked and view some of the fantastic winning entries.

Using Inspera Digital Exams for a Language Module Assessment Strategy

Loiana Leal, Lecturer in Modern Languages, worked with the LTDS Digital Exams Team to introduce digital exams using Inspera in a Portuguese module—co-creating authentic assessments with students to improve marking, feedback, and the overall experience.

Working in Partnership with the Academic Skills Team to Develop Effective Student Guidance on Designing and Producing an Infographic Assessment

Dr Angela Mazzetti from NUBS explains her partnership work with Liv Jonassen of the Academic Skills Team from the Library to produce engaging and informative assessment support videos on the subject of designing infographics for BUS2040, resulting in an improvement in student achievement, and increased confidence when engaging with the assessment.

Using AI in a Problem-Based Learning session: “Hunger hotspots”

Dr Amy Proctor and Dr Beth Clark designed a problem-based learning session for students of  Sustainability in Practice – a new shared module for Agriculture, Earth and Environment, and Applied Social Sciences Cluster (AESSC) students. In this session, students will use AI tools to generate solutions to food insecurity, and evaluate them critically.