Using 3D printed physical models to monitor knowledge integration in biochemistry
| Autor: | Maria T. Oliver-Hoyo, H. Kenny Kuo, Melissa A. Babilonia-Rosa |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
chemistry.chemical_classification 3d printed Science instruction Computer science 05 social sciences 050301 education Education 03 medical and health sciences 030104 developmental biology chemistry Chemistry (miscellaneous) Human–computer interaction Knowledge integration Non-covalent interactions Layer (object-oriented design) 0503 education |
| Zdroj: | Chemistry Education Research and Practice. 19:1199-1215 |
| ISSN: | 1756-1108 1109-4028 |
| Popis: | Noncovalent interactions determine the three-dimensional structure of macromolecules and the binding interactions between molecules. Students struggle to understand noncovalent interactions and how they relate to structure–function relationships. Additionally, students’ difficulties translating from two-dimensional representations to three-dimensional representations add another layer of complexity found in macromolecules. Therefore, we developed instructional resources that use 3D physical models to target student understanding of noncovalent interactions of small molecules and macromolecules. To this effect, we monitored indicators of knowledge integration as evidenced in student-generated drawings. Analysis of the drawings revealed that students were able to incorporate relevant conceptual features into their drawings from different sources as well as present their understanding from different perspectives. |
| Databáze: | OpenAIRE |
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