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dc.contributor.author
Benotti, Luciana
dc.contributor.author
Martinez, Maria Cecilia
dc.contributor.author
Schapachnik, Fernando
dc.date.available
2018-11-28T13:24:15Z
dc.date.issued
2018-04
dc.identifier.citation
Benotti, Luciana; Martinez, Maria Cecilia; Schapachnik, Fernando; A Tool for Introducing Computer Science with Automatic Formative Assessment; Institute of Electrical and Electronics Engineers; IEEE Transactions on Learning Technologies; 11; 2; 4-2018; 179-192
dc.identifier.issn
1939-1382
dc.identifier.uri
http://hdl.handle.net/11336/65398
dc.description.abstract
In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While programming their chatbots, students use fundamental CS constructs such as variables, conditionals, and finite state automata, among others. Chatbot uses pattern matching, state of the art lemmatization techniques, and finite state automata in order to provide automatic formative assessment to the students. When an error is found, the formative feedback generated is immediate and task-level. We evaluated Chatbot in two observational studies. An online nation-wide competition where more than 10,000 students participated. And, a mandatory in-class 15-lesson pilot course in three high schools. We measured indicators of student engagement (task completion, participation, self reported interest, etc.) and found that girls' engagement with Chatbot was higher than boys' for most indicators. Also, in the online competition, the task completion rate for the students that decided to use Chatbot was five times higher than for the students that chose to use the renowned animation and game programming tool Alice. Our results suggest that the availability of automatic formative assessment may have an impact on task completion and other engagement indicators among high school students.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Automatic Formative Assessment
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Computer Science Education
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Interactive Learning Environments
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K-12 Education
dc.subject.classification
Ciencias de la Computación
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
A Tool for Introducing Computer Science with Automatic Formative Assessment
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-11-02T15:11:56Z
dc.journal.volume
11
dc.journal.number
2
dc.journal.pagination
179-192
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Los Alamos
dc.description.fil
Fil: Benotti, Luciana. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Martinez, Maria Cecilia. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades. Escuela de Cs. de la Educacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Humanidades. Universidad Nacional de Córdoba. Instituto de Humanidades; Argentina
dc.description.fil
Fil: Schapachnik, Fernando. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
IEEE Transactions on Learning Technologies
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/abstract/document/7879322/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLT.2017.2682084
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