@inproceedings{stockdill22,
  author={Stockdill, Aaron and Stapleton, Gem and Raggi, Daniel and Jamnik, Mateja and Garcia, Grecia Garcia and Cheng, Peter C.-H.},
  booktitle={IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)}, 
  title={Examining Experts’ Recommendations of Representational Systems for Problem Solving}, 
  year={2022},
  volume={},
  number={},
  pages={1-6},
  abstract={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.},
  keywords={},
  doi={10.1109/VL/HCC53370.2022.9833141},
  ISSN={1943-6106},
  month={September},
  copyright={IEEEXplore: <a href='https://dx.doi.org/10.1109/VL/HCC53370.2022.9833141' target='_blank'>https://dx.doi.org/10.1109/VL/HCC53370.2022.9833141</a>}
}