A quick guide for computer-assisted instruction in computational biology and bioinformatics
Autor(a) principal: | |
---|---|
Data de Publicação: | 2008 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/7918 |
Resumo: | Introduction: Computational Biology and Bioinformatics (CBB) are indispensable components in the training of life scientists [1–3]. Current curricula in the life sciences should prepare graduates who master quantitative and computer skills for increased levels of performance [4–6]. Equally important is that the application of the curricula is driven by an appropriate instructional paradigm and effective learning experiences. Teaching and learning with computers bring specific issues that should be considered beforehand by any instructor. The following Quick Guide for Computer-Assisted Instruction (CAI) outlines ten principles for effective teaching. The principles are aligned with current developments on human cognition and learning [7] and have been drawn from our own experience using CAI in seminars, tutorials, and distance education, in courses on Molecular Life Sciences at the undergraduate level, taught to majors in biology or in other subjects (e.g., nutrition, teaching of physics and chemistry, teaching of biology, sports). The Guide refers to the preparation, presentation, and assessment of CAI. It should be an aid for those who teach CBB with CAI in class, and it is expected to stimulate student motivation and deeper learning in CBB, thus making class time more effective and improving satisfaction of both students and instructors. |
id |
RCAP_2cb8f2d318873f31f7e0818cd2ef6bfa |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/7918 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
A quick guide for computer-assisted instruction in computational biology and bioinformaticsScience & TechnologyIntroduction: Computational Biology and Bioinformatics (CBB) are indispensable components in the training of life scientists [1–3]. Current curricula in the life sciences should prepare graduates who master quantitative and computer skills for increased levels of performance [4–6]. Equally important is that the application of the curricula is driven by an appropriate instructional paradigm and effective learning experiences. Teaching and learning with computers bring specific issues that should be considered beforehand by any instructor. The following Quick Guide for Computer-Assisted Instruction (CAI) outlines ten principles for effective teaching. The principles are aligned with current developments on human cognition and learning [7] and have been drawn from our own experience using CAI in seminars, tutorials, and distance education, in courses on Molecular Life Sciences at the undergraduate level, taught to majors in biology or in other subjects (e.g., nutrition, teaching of physics and chemistry, teaching of biology, sports). The Guide refers to the preparation, presentation, and assessment of CAI. It should be an aid for those who teach CBB with CAI in class, and it is expected to stimulate student motivation and deeper learning in CBB, thus making class time more effective and improving satisfaction of both students and instructors.Public Library of Science (PLOS)Universidade do MinhoCosta, Manuel JoãoGalembeck, EduardoMarson, Guilherme A.Torres, Bayardo B.2008-04-252008-04-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/7918eng"PLoS Computacional Biology". ISSN 1553-7358. 4:4 (Apr. 2008).1553-735810.1371/journal.pcbi.100003518437234http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=2324196&blobtype=pdfinfo: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:RCAAP2023-07-21T11:58:11Zoai:repositorium.sdum.uminho.pt:1822/7918Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:47:53.597919Repositório 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 |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
title |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
spellingShingle |
A quick guide for computer-assisted instruction in computational biology and bioinformatics Costa, Manuel João Science & Technology |
title_short |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
title_full |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
title_fullStr |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
title_full_unstemmed |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
title_sort |
A quick guide for computer-assisted instruction in computational biology and bioinformatics |
author |
Costa, Manuel João |
author_facet |
Costa, Manuel João Galembeck, Eduardo Marson, Guilherme A. Torres, Bayardo B. |
author_role |
author |
author2 |
Galembeck, Eduardo Marson, Guilherme A. Torres, Bayardo B. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Costa, Manuel João Galembeck, Eduardo Marson, Guilherme A. Torres, Bayardo B. |
dc.subject.por.fl_str_mv |
Science & Technology |
topic |
Science & Technology |
description |
Introduction: Computational Biology and Bioinformatics (CBB) are indispensable components in the training of life scientists [1–3]. Current curricula in the life sciences should prepare graduates who master quantitative and computer skills for increased levels of performance [4–6]. Equally important is that the application of the curricula is driven by an appropriate instructional paradigm and effective learning experiences. Teaching and learning with computers bring specific issues that should be considered beforehand by any instructor. The following Quick Guide for Computer-Assisted Instruction (CAI) outlines ten principles for effective teaching. The principles are aligned with current developments on human cognition and learning [7] and have been drawn from our own experience using CAI in seminars, tutorials, and distance education, in courses on Molecular Life Sciences at the undergraduate level, taught to majors in biology or in other subjects (e.g., nutrition, teaching of physics and chemistry, teaching of biology, sports). The Guide refers to the preparation, presentation, and assessment of CAI. It should be an aid for those who teach CBB with CAI in class, and it is expected to stimulate student motivation and deeper learning in CBB, thus making class time more effective and improving satisfaction of both students and instructors. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-04-25 2008-04-25T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/7918 |
url |
http://hdl.handle.net/1822/7918 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
"PLoS Computacional Biology". ISSN 1553-7358. 4:4 (Apr. 2008). 1553-7358 10.1371/journal.pcbi.1000035 18437234 http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=2324196&blobtype=pdf |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Public Library of Science (PLOS) |
publisher.none.fl_str_mv |
Public Library of Science (PLOS) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132238673084416 |