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dc.contributor.author
Scott, Mario Ezequiel  
dc.contributor.author
Rodríguez, Guillermo Horacio  
dc.contributor.author
Soria, Alvaro  
dc.contributor.author
Campo, Marcelo Ricardo  
dc.date.available
2016-07-28T19:36:47Z  
dc.date.issued
2014-07  
dc.identifier.citation
Scott, Mario Ezequiel; Rodríguez, Guillermo Horacio; Soria, Alvaro; Campo, Marcelo Ricardo; Are Learning Styles Useful Indicators to Discover How Students Use Scrum for the First Time?; Elsevier; Computers in Human Behavior; 36; 7-2014; 56-64  
dc.identifier.issn
0747-5632  
dc.identifier.uri
http://hdl.handle.net/11336/6777  
dc.description.abstract
Teaching agile practices is in the cutting-edge of Software Engineering education since agile methodologies are widely used in the industry. An effective strategy to teach agile practices is the use of a capstone project, in which students develop requirements following an agile methodology. To improve students? learning experience, professors have to keep track and analyze the information generated by the students during the capstone project development. The problem here arises from the large amount of information generated in the learning process, which hinders professors to meet each student?s learning profile. Particularly, to know the students skills and preferences are key aspects on a learner-centered approach of education in order to personalize the teaching. In this work, we aim to discover the relationships between students? performance along a Scrum-based capstone project and their learning style according to the Felder?Silverman model, towards a first step to build the profiles. To address this issue, we mined association rules from the interaction of 33 Software Engineering students with Virtual Scrum, a tool that supports the development of the capstone project in the course. In the present work we describe promising results in experiments with a case-study.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Software Engineering  
dc.subject
Agile Software Developmen  
dc.subject
Software Engineering Education  
dc.subject
Learning Styles  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Are Learning Styles Useful Indicators to Discover How Students Use Scrum for the First Time?  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-07-28T18:33:03Z  
dc.journal.volume
36  
dc.journal.pagination
56-64  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Scott, Mario Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina  
dc.description.fil
Fil: Rodríguez, Guillermo Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina  
dc.description.fil
Fil: Soria, Alvaro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina  
dc.description.fil
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina  
dc.journal.title
Computers in Human Behavior  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0747563214001496  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chb.2014.03.027  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.chb.2014.03.027