Paulo Vieira Braga
- +44 (0)1473 338909
- Learning and Teaching
Paulo is a Research Fellow in the Centre for Excellence in Learning and Teaching at the University of Suffolk. His experience at universities has involved institutional research, analysing and evidencing progress of regulatory agendas, such as TEF and APP, as well as developing advanced analytical tools to support learning and teaching. With interests in data science and education, he aims to discover data-driven solutions that enhance the student experience.
After graduating with a bachelor’s degree in management studies, Paulo worked in the management information department at Mangosuthu University of Technology in South Africa, where he used data processing and analysing practices to aid decisions relating to academic and professional strategies. Paulo also worked as mathematics teacher at a secondary school in Suffolk, where he acquired a deeper understanding of pedagogy and an appreciation for the role that meticulous instruction and academic planning plays in excellent learning, teaching, and retention.
Paulo has experience of guest lecturing for colleagues across the institution in evidence-based teaching, statistical data analysis and developing quantitative approaches to enhance learning and teaching.
Paulo also delivered a session for the instititional learning and teaching webinar series titled: 'Data: Has the time come for universities to docus on quality rather than quantity?'
Paulo's research interests centre around evidence-based learning and teaching practice, exploration of block and blend pedagogy to enhance student experience, interventions to support access, progression and continuation within and beyond university as well as the use of data science and statistical modelling to inform learning and teaching.
Current projects include:
Co-designing Assessment in a Block Delivery Course: Students’ and Faculty Perspectives. Research Englands Participatory Research Fund.
Working alongside Dr Ortiz Granero, this project aims to explore students and lecturers’ perspectives on assessment,using co-design to explore and develop innovative types of assessment that are most appropriate in a block pedagogy.
Student Retention Programme: Using data science to predict students at risk of withdrawal.
Paulo is working alongside the Student Experience Ambassadors to pilot a retention programme to highlight students at risk of withdrawel using an ethical statistical modelling approach.
Paulo is working with the Director of Learning and Teaching and other academic colleagues on the research and evaluation of the institutional OfS Access and Participation Plan.
Paulo is also working alongside colleagues across the institution to develop and refine the University of Suffolk submission to TEF.