Learning biophysics by building models: is it possible?

Detalhes bibliográficos
Autor(a) principal: Machado, Nuno
Data de Publicação: 2017
Outros Autores: Baptista, Mónica
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/8562
Resumo: The curricula of higher education courses in the area of Health usually place the curricular units of Basic Sciences in the first years of the course. This knowledge, supposedly, is ‘stored’ by the students in order to be applied in later curricular units. One of the major disadvantages of this structure is that knowledge and skills will have to be acquired in the long term. In this way, it is necessary to use teaching methodologies that guarantee retention of the acquired knowledge in the long term, so that students take the knowledge as if it were their own so that it can be correlated with the new knowledge. But on the other side, this kind of structure is not very well accepted by the students because the importance of the learning the fundamentals sciences is not immediately understood by them. This implies that the motivation for this kind of basic science disciplines is very low. The building of numerical models of biophysical phenomena, such as the mechanics of breathing, or blood circulation, has the potential for student motivation as well as long-term learning. Our theory is that by building well known numerical models of physiological phenomena in a spreadsheet, students have the opportunity to change their perceptions about the relevance of the contents addressed, simultaneously improving their learning in the topics covered and increasing their motivation in the discipline. The option for the use of a spreadsheet is justified because it does not require prior knowledge of programming languages, or about complex mathematical software, which would an obstacle to the biophysics learning. There is also the side effect of learning how to use a spreadsheet that is a plus in itself. After the development time of the model, the students have an individual oral assessment, which includes a final assessment of the developed model. Following this, the student delivers a written report. It is in this report that the students show the tests they have done to the model, as well as a reflection on the model they used, its limitations, some possible applications, and some considerations about possible future developments. It is intended to recognize the challenges that students face when building the models, and also know the evolution of the learning and to know the students' perception about the importance of the construction of models in biophysics and in the learning of biophysics. At this moment we have done already two complete cycles. At the end of each cycle, there is an evaluation which is used to develop the next cycle, the third one at this moment. In the very near future, we will try to apply this learning methodology to other disciplines, using different models according to each discipline. In this way, we would be able to compare results of different implementations of this new learning methodology.
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spelling Learning biophysics by building models: is it possible?PhysicsModel based learningSpreadsheetBiophysicsThe curricula of higher education courses in the area of Health usually place the curricular units of Basic Sciences in the first years of the course. This knowledge, supposedly, is ‘stored’ by the students in order to be applied in later curricular units. One of the major disadvantages of this structure is that knowledge and skills will have to be acquired in the long term. In this way, it is necessary to use teaching methodologies that guarantee retention of the acquired knowledge in the long term, so that students take the knowledge as if it were their own so that it can be correlated with the new knowledge. But on the other side, this kind of structure is not very well accepted by the students because the importance of the learning the fundamentals sciences is not immediately understood by them. This implies that the motivation for this kind of basic science disciplines is very low. The building of numerical models of biophysical phenomena, such as the mechanics of breathing, or blood circulation, has the potential for student motivation as well as long-term learning. Our theory is that by building well known numerical models of physiological phenomena in a spreadsheet, students have the opportunity to change their perceptions about the relevance of the contents addressed, simultaneously improving their learning in the topics covered and increasing their motivation in the discipline. The option for the use of a spreadsheet is justified because it does not require prior knowledge of programming languages, or about complex mathematical software, which would an obstacle to the biophysics learning. There is also the side effect of learning how to use a spreadsheet that is a plus in itself. After the development time of the model, the students have an individual oral assessment, which includes a final assessment of the developed model. Following this, the student delivers a written report. It is in this report that the students show the tests they have done to the model, as well as a reflection on the model they used, its limitations, some possible applications, and some considerations about possible future developments. It is intended to recognize the challenges that students face when building the models, and also know the evolution of the learning and to know the students' perception about the importance of the construction of models in biophysics and in the learning of biophysics. At this moment we have done already two complete cycles. At the end of each cycle, there is an evaluation which is used to develop the next cycle, the third one at this moment. In the very near future, we will try to apply this learning methodology to other disciplines, using different models according to each discipline. In this way, we would be able to compare results of different implementations of this new learning methodology.RCIPLMachado, NunoBaptista, Mónica2018-06-05T11:49:47Z2017-112017-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/8562engMachado N, Baptista M. Learning biophysics by building models: is it possible? In: ICERI2017 Proceedings Papers – 10th Annual International Conference of Education, Research and Innovation. Seville (Spain), November 16-18, 2017. p. 6286-91.978-84-697-6957-710.21125/iceri.2017.1627info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:56:08Zoai:repositorio.ipl.pt:10400.21/8562Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:17:18.270950Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Learning biophysics by building models: is it possible?
title Learning biophysics by building models: is it possible?
spellingShingle Learning biophysics by building models: is it possible?
Machado, Nuno
Physics
Model based learning
Spreadsheet
Biophysics
title_short Learning biophysics by building models: is it possible?
title_full Learning biophysics by building models: is it possible?
title_fullStr Learning biophysics by building models: is it possible?
title_full_unstemmed Learning biophysics by building models: is it possible?
title_sort Learning biophysics by building models: is it possible?
author Machado, Nuno
author_facet Machado, Nuno
Baptista, Mónica
author_role author
author2 Baptista, Mónica
author2_role author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Machado, Nuno
Baptista, Mónica
dc.subject.por.fl_str_mv Physics
Model based learning
Spreadsheet
Biophysics
topic Physics
Model based learning
Spreadsheet
Biophysics
description The curricula of higher education courses in the area of Health usually place the curricular units of Basic Sciences in the first years of the course. This knowledge, supposedly, is ‘stored’ by the students in order to be applied in later curricular units. One of the major disadvantages of this structure is that knowledge and skills will have to be acquired in the long term. In this way, it is necessary to use teaching methodologies that guarantee retention of the acquired knowledge in the long term, so that students take the knowledge as if it were their own so that it can be correlated with the new knowledge. But on the other side, this kind of structure is not very well accepted by the students because the importance of the learning the fundamentals sciences is not immediately understood by them. This implies that the motivation for this kind of basic science disciplines is very low. The building of numerical models of biophysical phenomena, such as the mechanics of breathing, or blood circulation, has the potential for student motivation as well as long-term learning. Our theory is that by building well known numerical models of physiological phenomena in a spreadsheet, students have the opportunity to change their perceptions about the relevance of the contents addressed, simultaneously improving their learning in the topics covered and increasing their motivation in the discipline. The option for the use of a spreadsheet is justified because it does not require prior knowledge of programming languages, or about complex mathematical software, which would an obstacle to the biophysics learning. There is also the side effect of learning how to use a spreadsheet that is a plus in itself. After the development time of the model, the students have an individual oral assessment, which includes a final assessment of the developed model. Following this, the student delivers a written report. It is in this report that the students show the tests they have done to the model, as well as a reflection on the model they used, its limitations, some possible applications, and some considerations about possible future developments. It is intended to recognize the challenges that students face when building the models, and also know the evolution of the learning and to know the students' perception about the importance of the construction of models in biophysics and in the learning of biophysics. At this moment we have done already two complete cycles. At the end of each cycle, there is an evaluation which is used to develop the next cycle, the third one at this moment. In the very near future, we will try to apply this learning methodology to other disciplines, using different models according to each discipline. In this way, we would be able to compare results of different implementations of this new learning methodology.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
2017-11-01T00:00:00Z
2018-06-05T11:49:47Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/8562
url http://hdl.handle.net/10400.21/8562
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Machado N, Baptista M. Learning biophysics by building models: is it possible? In: ICERI2017 Proceedings Papers – 10th Annual International Conference of Education, Research and Innovation. Seville (Spain), November 16-18, 2017. p. 6286-91.
978-84-697-6957-7
10.21125/iceri.2017.1627
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