Photo of Stieff, Mike

Mike Stieff

Professor

Contact

Address:

4376 SES, MC 111

Office Phone:

(312) 996-4348

Related Sites:

About

I direct a learning sciences and chemistry education research group that examines (i) spatial thinking and diagrammatic reasoning in scientific problem solving, (ii) the interaction between visuo-spatial ability and scientific expertise, and (iii) model-based reasoning in sciece.
One area of my research specifically aims to identify when and how students apply unique strategies to solve problems typically assumed to mandate high spatial ability. Because students cannot always directly perceive the three-dimensional phenomena under study in science, they are often asked to mentally manipulate internal representations constructed from two-dimensional diagrams for learning and problem solving. This practice suggests that visuo-spatial ability is fundamental to scientific problem solving. Our research has shown that this assumption neglects the role of domain-specific problem solving strategies that develop as scientific expertise grows. In fact, students do not rely exclusively on visuo-spatial ability to problem solve, but instead apply a wide range of algorithms and heuristics that allow them to transform diagrams to problem successfully (see Figure 1). This practice mirrors the practice of experts and strongly suggests that individual differences in visuo-spatial ability are poor predictors of scientific problem solving ability.A second area of my research focuses on the development and evaluation of novel educational technologies for teaching science, particularly chemistry. At all levels of instruction, chemistry deals with concepts and phenomena that are not directly perceptible to students. To help students reason about these phenomena, I develop and study models (both physical and virtual) that give students a molecular-level view of phenomena they experience in the everyday world. Using the Connected Chemistry Curriculum, I aim to offer students activities that support connections between the observations students make in the laboratory with the observations they make in multi-agent modeling environments. I study all aspects of learning and teaching with novel technologies and I am currently examining the manner in which new technologies improve representational competence and argumentation practices in the science classroom.

Selected Publications

  1. Ryan, S., & Stieff, M. (2019). Drawing for assessing learning outcomes in chemistry. Journal of Chemical Education, 96(9), 1813-1820.
  2. Stieff, M. (2019). Improving learning outcomes in secondary chemistry with visualization-supported inquiry activities. Journal of Chemical Education, 96(7), 1300-1307.
  3. Stieff, M., Werner, S., Fink, B., & Meador, D. (2018). Online pre-laboratory videos improve student learning in the general chemistry laboratory. Journal of Chemical Education, 95(8), 1260-1266.
  4. Stieff, M., Origenes, A., DeSutter, D., Lira, M., Gabel, G., & Banevicius, L. (2018). Operational constraints on the mental rotation of STEM diagrams. Journal of Educational Psychology, 110(8), 1160-1174.
  5. Stieff, M., Scheiter, K., Ainsworth, S., Bohrmann-Linder, C., & Schall, M. (2018). Drawing for learning from dynamic visualizations in science. In J. Kay, & R. Luckin (Eds.), Rethinking Learning in the Digital Age, Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Vol. 2 (pp. 937-940). London: International Society of the Learning Sciences.
  6. Cooper, M., Stieff, M., & DeSutter, D. (2017). Sketching the invisible to predict the visible: From drawing to modeling in chemistry. Topics in Cognitive Science, 9(4), 902-920.

Education

B.S., Dickinson College, 1998
M.S., Northwestern University, 2000
Ph.D., Northwestern University, 2004