The Future of Education

Edition 14

Scientific Committee

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Jamie Smith

Institution: Bishop Grosseteste University

Country: United Kingdom

Jamie Smith is a Mathematics and Statistics Advisor and Associate Lecturer at the University of Lincoln, UK, and a Lecturer at Bishop Grosseteste University, UK. He studied mathematics at the University of Lincoln obtaining a bachelor’s degree in mathematics, and a master's by research in applied mathematics. He is a fourth-year PhD Candidate in Educational Research, focusing on the dual achievement emotions of mathematics anxiety and mathematics confidence. He has taught at most levels of education, from primary and secondary in Italy, to undergraduate and postgraduate programmes in the UK.

Jamie’s research focuses on barriers to learning mathematics and wider STEM, focusing on the role of the teacher-student relationship within secondary education. His current work, which is part-funded by the Institute of Mathematics and its Applications (IMA), explores how teachers' student-directed and self-directed mathematics anxieties transfer to their students. He has presented and published work at several national and international conferences including ECE, CETL-MSOR, and NPSE, and has served as a peer-reviewer for multiple conferences and journals.

Jamie is a criminal magistrate, independent monitor, and a school governor of his former secondary school. In his role as a governor, Jamie is the governor link for quality of education being responsible for holding the school to account for the teaching, learning and pedagogy of all c.600 students. He serves also as the governor link for the post-16 education provision supporting post-secondary students with their educational development journeys including university support and admissions advice.

Jamie Smith is a member of the SIGMA network for excellence in mathematics and statistics support, a member of the European Mathematical Society, and a Fellow of the Higher Education Academy.

Area/s of Expertise: Mathematics Education, Mathematics Pedagogy, Assessment and Evaluation, Inferential Statistics, Research Methodologies, Data Analysis, Higher Education, School Education, Adult Education, Quality Assurance in Education, Language Teaching and Learning.

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