Examining Experts’ Recommendations of Representational Systems for Problem SolvingShort paper
Pólya and others recognised that an appropriate representation of a problem is key for enabling us to solve it. But choosing the right representation is a problem that novice problem solvers find difficult, so must turn to experts for guidance. In this paper, we present a study that examines how human experts recommend representations. We asked high school mathematics teachers to order representational systems based on their suitability generally, and with respect to a student profile. We found the teachers updated their recommendations based on the problem and student profile, but were inconsistent with each other. This inconsistency highlights a need for more training and support in representational system selection.
Wed 14 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
11:00 - 12:30 | Joint session with DiagramsResearch Papers at Auditorium Chair(s): Mark Minas Universität der Bundeswehr München, Atsushi Shimojima Doshisha University Chair for the VL/HCC papers: Mark Minas Universität der Bundeswehr München. Chair for the Diagrams papers: Atsushi Shimojima Doshisha University | ||
11:00 30mTalk | RustViz: Interactively Visualizing Ownership and BorrowingFull paper Research Papers Marcelo Almeida University of Michigan, Grant Cole University of Michigan, Ke Du University of Michigan, Gongming (Gabriel) Luo University of Michigan, Shulin Pan University of Michigan, Yu Pan University of Michigan, Kai Qiu University of Michigan, Vishnu Reddy University of Michigan, Haochen Zhang University of Michigan, Yingying Zhu University of Michigan, Cyrus Omar University of Michigan DOI | ||
11:30 15mTalk | Examining Experts’ Recommendations of Representational Systems for Problem SolvingShort paper Research Papers Aaron Stockdill University of Cambridge, Gem Stapleton University of Cambridge, Daniel Raggi University of Cambridge, Mateja Jamnik University of Cambridge, Grecia Garcia Garcia University of Sussex, Peter Cheng University of Sussex DOI | ||
11:45 30mTalk | Representational Interpretive Structure: Theory and NotationDiagrams2022 Full Paper Research Papers Peter Cheng University of Sussex, Aaron Stockdill University of Cambridge, Grecia Garcia Garcia University of Sussex, Daniel Raggi University of Cambridge, Mateja Jamnik University of Cambridge DOI | ||
12:15 15mTalk | A Diagram Must Never be Ten Thousand Words: Text-Based (Sentential) Approaches to Diagrams Accessibility Limit Users’ Potential for Normative Agency Diagrams2022 Short Paper Research Papers DOI | ||