Conference Session

DISTINGUISHED LECTURE: 2019 Best PIC, Zone, and Diversity Papers Live Q&A

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eric Davishahl, Whatcom Community College; Todd Haskell, Western Washington University; Jill Davishahl, Western Washington University; Lee Singleton, Whatcom Community College; Wade H. Goodridge, Utah State University

Tagged Topics

2019 Best Zone & PIC Papers

, Ed., Springer, Cham, 2018, pp. 3-11.[12] M. Steiff, S. Scopelitis, M. E. Lira and D. Desutter, "Improving Representational Competence with Concrete Models," Science Education, vol. 31, no. 3, pp. 344-363, 2016.[13] P. Pande and S. Chandrasekharan, "Representational Competence: Towards a distributed and embodied cognition account," Studies in Science Education, vol. 107, no. 2, pp. 451- 467, 2016.[14] N. A. Rau, "Supporting Representational Competences Through Adaptive Educational Technologies," in Towards a Framework for Representational Competence in Science Education. Models and Modeling in Science Education., vol. 11, K. Daniel, Ed., Springer, Cham, 2018, pp. 103-132.[15] P. Klein, A. Müller and J. Kuhn

Conference Session

DISTINGUISHED LECTURE: 2019 Best PIC, Zone, and Diversity Papers Live Q&A

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ruth Wertz P.E., Valparaiso University; Theresa Green, Utah State University

Tagged Topics

2019 Best Zone & PIC Papers

in first-year largeenrollment courses, including managing high quality assessment within time constraints, andpromoting effective study strategies. This paper presents two studies: 1) using the CATSinstrument to validate multiple-choice format exams for classroom assessment, and 2) using theCATS instrument as a measure of metacognitive growth over time. The first study focused onvalidation of instructor generated multiple choice exams because they are easier to administer,grade, and return for timely feedback, especially for large enrollment classes. The limitation ofmultiple choice exams, however, is that it is very difficult to construct questions to measurehigher order content knowledge beyond recalling facts. A correlational study was

Conference Session

DISTINGUISHED LECTURE: 2019 Best PIC, Zone, and Diversity Papers Live Q&A

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Angela R. Bielefeldt, University of Colorado Boulder; David Zhao; Alexandra Kulich; Madeline Polmear, University of Florida; Nathan E. Canney; Chris Swan, Tufts University; Daniel Knight, University of Colorado Boulder

Tagged Topics

2019 Best Zone & PIC Papers

mindset can be used to further engi- neering education innovations. He also does research on the development of reuse strategies for waste materials.Dr. Daniel Knight, University of Colorado, Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CU’s Department of Mechanical Engineering at the College of Engineering and Applied Science. He holds a B.A. in psychology from Louisiana State University, an M.S. degree in industrial/organizational psychology and a Ph.D. degree in education, both from the University of Tennessee. Dr. Knight’s research interests are in the areas of K-12, program evaluation and teamwork practices in engineering education. His current