Multi-platform simulations facilitate interdisciplinary instruction in undergraduate neuroscience
| Autor: | David J. Schulz, Ziao Chen, David W. Donley, David A. Bergin, Satish S Nair |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
05 social sciences
050301 education Neural engineering Python (programming language) 03 medical and health sciences 0302 clinical medicine ComputingMilieux_COMPUTERSANDEDUCATION 0503 education Neuroscience Multi platform computer 030217 neurology & neurosurgery Barriers to entry Interdisciplinarity computer.programming_language |
| Zdroj: | NER |
| DOI: | 10.1109/ner49283.2021.9441407 |
| Popis: | Neuroscience is a highly interdisciplinary field, but more collaboration among STEM disciplines is needed to advance undergraduate neuroscience education. This paper reports the development of code-based virtual laboratories to cross-foster ideas from engineering and biology in the neuroscience classroom. The simulations use a combination of NEURON and Python code to model neurophysiological processes. We report that the use of computational tools in the classroom increases student self-reported comfort in participating in a computational research project. The tools we developed have potential to increase persistence and retention of undergraduate students by encouraging interdisciplinary thinking and reducing barriers to entry. |
| Databáze: | OpenAIRE |
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