Probing the impact of graph-based salient distracting features on student reasoning

ORAL

Abstract

Previous research on students' mathematical reasoning from introductory mechanics to upper-division thermodynamics courses revealed that student reasoning and performance on graph-based integration tasks were impacted by specific features of those graphs. We are using dual-process theories of reasoning (DPToR) to probe the extent to which the nature of human reasoning itself may account for inconsistent reasoning on graph-based integration tasks containing salient distracting features (SDFs). In the current study, we have been examining student reasoning on graph-based integration tasks in the calculus-based introductory physics sequence by administering questions in which the salience of the SDFs is varied. Screening-target question pairs and reasoning chain construction tasks have also been used in the investigation. We will discuss recent results emerging from our ongoing work.

*This material is based upon work supported by the National Science Foundation under Grant Nos. DUE-2336912, DUE-2142416, DUE-2141975, DUE-2142276, DUE-2142436, DUE-1821390, DUE-1821123, DUE-1821400, DUE-1821511, and DUE-1821561.

Presenters

  • Liam Martinez

    • University of Maine

Authors

  • Liam Martinez

    • University of Maine
  • MacKenzie R Stetzer

    • University of Maine
  • John R. Thompson

    • University of Maine