Sally Fincher

Sally Fincher is a distinguished professor at the University of Kent specializing in computing education research. With over 75 publications spanning from 1997 to 2023, she has established herself as a leading figure in computer science education. Her work appears in premier venues including ICER (International Computing Education Research), ITiCSE (Innovation and Technology in Computer Science Education), and SIGCSE (Special Interest Group on Computer Science Education), as well as top journals like Computer Science Education and Communications of the ACM.

Fincher's research focuses on fundamental questions in computing education, with particular expertise in pedagogical patterns, notional machines, threshold concepts, and the relationship between professional practice and classroom learning. Her recent work explores spatial aspects of computing education, the development of mental models among novice programmers, and the construction of accountable disciplinary knowledge. She has made significant contributions to understanding how students develop computational thinking and how educators can effectively support this process through thoughtful curriculum design and pedagogical approaches.

Her publication record shows a consistent trajectory of impactful research, with recent work demonstrating increased collaboration across international boundaries and growing interest in contextual factors affecting computing education. The themes across her publications reveal a sustained commitment to improving computing education through rigorous research that bridges theory and practice. Her work has influenced both academic discourse and practical approaches to teaching computer science at various educational levels.

Fincher has mentored several researchers who have become active contributors to the field, most notably Sebastian Dziallas with whom she has co-authored numerous papers examining the intersection of professional practice and academic learning. Her editorial work for Computer Science Education and leadership in organizing key conferences like ICER have helped shape the computing education research community.

She has been instrumental in developing collaborative research frameworks that enable multi-institutional studies in computing education, helping establish robust methodologies for this growing field. Her recent work on notional machines represents a significant theoretical contribution to understanding how students conceptualize computational processes.