www.mangold-international.com - Thursday, 4. December 2008
Printversion from "Jonathan San Diego"
(URL: http://www.mangold-international.com/363.html)
Jonathan P. San Diego is a Post-Doctoral Research Fellow with the School of Mathematics, Science in Technology at the Institute Of Education, University of London. Jonathan's main research interest is in how representations influence cognition and learning, and in how the rich, linked, interactive representations which are possible in computer-based systems may be exploited to improve teaching, learning and reasoning. His previous research provides evidence that the nature of external representations influences peoples’ strategies for using those representations. The diversification of learning and information access via new technologies affords new contexts in which to investigate issues of representation and cognition. He is currently investigating how learning designs can be neatly represented in such a way that teaching-practitioners can interpret and analyse visual representations of the different aspects of pedagogical design. Jonathan is investigating ways to evaluate the effectiveness of the design-based research methodology in developing approaches to on-line learning design. He is involved in a JISC funded project, the Pedagogy Planner, contributing to its design, development, evaluation and deployment.
Jonathan’s early research was focused on understanding mathematical problem-solving skills in multimedia environments. His interests have broadened to look at modelling strategies that people use in solving a variety of problems with digital representations. He also seeks to contribute to the further development of pedagogic theories by examining how people benefit from digital technologies. Jonathan has particular interest on how digital technology can provide methodological opportunities to researching the pedagogical benefit of interactivity and digital representations. Jonathan developed and refined advanced observational techniques for integrating and analysing data on student learning from eye-tracking, digital cameras, screen capture, handwriting, and sketching (see figure below).
Mangold-International 2006-2008