Characterization of Problem Types in a Statics Textbook
Autor: | David J. Therriault, Marah B. Berry, Nicole Goetz, Elliot P. Douglas |
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Rok vydání: | 2020 |
Předmět: |
Typology
Class (computer programming) Computer science Transition (fiction) 05 social sciences 050301 education Dreyfus model of skill acquisition 03 medical and health sciences 0302 clinical medicine Engineering education Taxonomy (general) Mathematics education 0503 education Statics 030217 neurology & neurosurgery |
Zdroj: | FIE |
DOI: | 10.1109/fie44824.2020.9273925 |
Popis: | In this Work in Progress Research paper we present preliminary results on analysis of the problems present in a common engineering textbook. In order to transition students from novice to expert problem solving, they must have practice solving problems that are typical of engineering practice, i.e. ill-structured and complex. While it is generally believed that classroom problems are for the most part closed-ended and not complex, there is no work in the literature to confirm this belief. In order to address this gap, we analyzed the types of problems present in a commonly used statics textbook, using Jonassen’s well-known typology. Our findings show that almost all of the problems are algorithmic, with a few rule-based and story problems. There were no problems with higher levels of ill-structuredness, such as decision-making, diagnosis-solution, or design problems. Some educators may believe that because statics is an introductory level class, it is appropriate to only present well-structured problems. We argue that it is both possible and necessary to include ill-structured problems in classes at all levels. Doing so could potentially support students’ critical transition from novice to expert problem solvers. |
Databáze: | OpenAIRE |
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