Mostrar el registro sencillo del ítem

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  
dc.subject
Computer Science Education  
dc.subject
Interactive Learning Environments  
dc.subject
K-12 Education  
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
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