Remote Teaching of Programming in Mathematica: Lessons Learned
Autor: | Cahill, Samuel T., Bergstrom Mann, Patrick E., Worrall, Andrew F., Stewart, Malcolm I. |
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Rok vydání: | 2020 |
Předmět: |
Computer based learning
2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Social distance Distance education ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education University level General Chemistry Education Coding (social sciences) |
Zdroj: | Journal of Chemical Education |
ISSN: | 1938-1328 0021-9584 |
Popis: | The COVID-19 pandemic has resulted in a need for social distancing measures in public spaces and will have an important impact on university level teaching going forward. Remote methods to complete laboratory related activities are a potential means of students achieving practical credit while still isolating or social distancing. We outline the implementation of two novel remote exercises, based on coding in Mathematica, and the methods used to provide ongoing help to students. These exercises are used as a case study to identify potential problems with remote exercises based on student feedback. Suggestions for how these problems might be overcome in further iterations of these remote exercises are explored. |
Databáze: | OpenAIRE |
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