Jamie Smith

Jamie Smith supports learning on the Special Educational Needs Disability and Inclusion courses. He first joined Bishop Grosseteste University in 2019 as an Associate Lecturer and returned as a Lecturer in 2023.

He has a background in mathematics and mathematics education and teaches research methods, data analysis, and statistical methods. Jamie is recognised as a Fellow of the Higher Education Academy (FHEA), a Certified Practitioner (CeP) of ALDinHE, and a member of the Scientific Committee of The Future of Education International Conference in Florence, Italy.

Outside of academia, Jamie is a Magistrate (Justice of the Peace) in the adult criminal court, a member of the Lord Chancellor’s Advisory Committee, and a Governor of his former secondary school, being the link governor for Quality of Education and Post-16 Education.

His areas of interest include affect towards mathematics such as mathematics anxiety, mathematics confidence and mathematical mindsets. As part of his PhD he is exploring how a teacher’s mathematics anxiety effects their students’ mathematics anxiety and mathematics confidence. He has also led projects exploring mathematics anxiety in undergraduate STEM students and children with ASD. He has presented at multiple international conferences including the 13th Congress of European Researchers in Mathematics Education in Budapest, Hungary.

Smith, J. & Fotou, N. (2023). How teachers' mathematics anxiety affects their student’s mathematics anxiety and mathematics confidence [Conference Session] Congress of the European Society for Research in Mathematics Education [CERME13], Budapest, Hungary

Smith, J. & Fotou, N. (2023). Factor Composition of Mathematics Anxiety in Undergraduate Mathematics and Physics Students. [Conference Session] New Perspectives in Science Education[NPSE], Florence, Italy

Smith, J., & Pearson, L. (2021). Student views about Mathematics Anxiety and Blended Maths and Stats Support [Conference Session]. Continuing Excellence in Teaching and Learning in Mathematics, Statistics and Operational Research [CETL-MSOR], Coventry, UK

Fathulla, K., & Smith, J. (2019). Machine Learning to Augment Capabilities of Autistic Learners: Draw me a Sentence.[Conference Session]. 7th European Conference on Education. London, UK

Smith, J. (2022). Student Preferences for Online Maths and Stats Support and difference on Mathematics Anxiety. MSOR Connections, 20(1), 28-36, doi.org/10.21100/msor.v20i1.1291