When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning

Marconi, Cecilia - Goyeneche, Juan José - Cobo, Cristóbal

Resumen:

This paper analyzes a national technology and education program in Uruguay known as Plan Ceibal. This work studies a sample of over 105,000 students from 4th, 5th, and 6th grade of public primary education in that country. This work aims to assess the impact of technology on teaching and learning of English. The method adopted is based on log-file data to compare two different modalities of English teaching (a face-to-face and a blended model). Additionally, we explored the correlation between a common measure of online engagement when using the Learning Management System (LMS) and an adaptive English assessment. We examined the impact of the teaching modalities on the students engagement and to what extent the engagement can contribute to enhance the student learning of English. This work documents the steps followed to elaborate the common measure of engagement to ensure transparency and its replicability (or improvement). A strength of this work, in comparison with previous studies, is the number of cases analyzed as well as the age of the target population (primary school students). The results indicate that engagement is affected by at least three key factors: socio-cultural context, teaching modality, and the role that teachers play. In fact, the higher the engagement level, the larger the proportion of students who achieve a better learning outcome in the assessment. This study shows that the use of LMS enhanced the learning experience when this tool is integrated within the ecosystem of the teaching and learning process. The findings of this study are consistent with previous works in the field, for instance: the relevance of the context as well as the role of teaching. Although the measurement of engagement can help to understand students performance noteworthy that as a stand-alone dimension it is a poor predictor of performance. To consider additional factors associated with learning is still necessary.


Detalles Bibliográficos
2017
Plan Ceibal
Online learning
LMS Engagement
Learning Analytics
Adaptive test
Plan Ceibal
Aprendizaje en línea
índice de compromiso
Analíticas de aprendizaje
Ciencias Sociales
Ciencias de la Educación
Educación a distancia
Evaluación de estudiantes
Aprendizaje virtual
Inglés
Fundación Ceibal
Ceibal en REDI
https://hdl.handle.net/20.500.12381/418
Acceso abierto
Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
_version_ 1808165427940950016
author Marconi, Cecilia
author2 Goyeneche, Juan José
Cobo, Cristóbal
author2_role author
author
author_facet Marconi, Cecilia
Goyeneche, Juan José
Cobo, Cristóbal
author_role author
bitstream.checksum.fl_str_mv 04900bda284772ac092f06dccc513e67
fcb9143f742b10c7034fe48b426de291
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/418/2/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/418/1/data_analytics_2017_3_10_60019%20%282%29.pdf
collection Ceibal en REDI
dc.creator.none.fl_str_mv Marconi, Cecilia
Goyeneche, Juan José
Cobo, Cristóbal
dc.date.accessioned.none.fl_str_mv 2018-01-29T13:52:45Z
2020-10-28T19:26:14Z
2021-09-07T19:03:08Z
dc.date.available.none.fl_str_mv 2018-01-29T13:52:45Z
2020-10-28T19:26:14Z
2021-09-07T19:03:08Z
dc.date.issued.none.fl_str_mv 2017-11
dc.description.abstract.none.fl_txt_mv This paper analyzes a national technology and education program in Uruguay known as Plan Ceibal. This work studies a sample of over 105,000 students from 4th, 5th, and 6th grade of public primary education in that country. This work aims to assess the impact of technology on teaching and learning of English. The method adopted is based on log-file data to compare two different modalities of English teaching (a face-to-face and a blended model). Additionally, we explored the correlation between a common measure of online engagement when using the Learning Management System (LMS) and an adaptive English assessment. We examined the impact of the teaching modalities on the students engagement and to what extent the engagement can contribute to enhance the student learning of English. This work documents the steps followed to elaborate the common measure of engagement to ensure transparency and its replicability (or improvement). A strength of this work, in comparison with previous studies, is the number of cases analyzed as well as the age of the target population (primary school students). The results indicate that engagement is affected by at least three key factors: socio-cultural context, teaching modality, and the role that teachers play. In fact, the higher the engagement level, the larger the proportion of students who achieve a better learning outcome in the assessment. This study shows that the use of LMS enhanced the learning experience when this tool is integrated within the ecosystem of the teaching and learning process. The findings of this study are consistent with previous works in the field, for instance: the relevance of the context as well as the role of teaching. Although the measurement of engagement can help to understand students performance noteworthy that as a stand-alone dimension it is a poor predictor of performance. To consider additional factors associated with learning is still necessary.
dc.format.extent.es.fl_str_mv pp: 34 - 40
dc.identifier.citation.es.fl_str_mv Marconi, C, Goyeneche, JJ, Cobo, C. (2017). When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning. DATA ANALYTICS 2017 : The Sixth International Conference on Data Analytics. IARIA Conferences. España.
dc.identifier.isbn.none.fl_str_mv 978-1-61208-603-3
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/418
dc.language.iso.none.fl_str_mv eng
dc.publisher.es.fl_str_mv IARIA, 2017
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Ceibal en REDI
instname:Fundación Ceibal
instacron:Fundación Ceibal
dc.subject.anii.none.fl_str_mv Ciencias Sociales
Ciencias de la Educación
dc.subject.ceibal.es.fl_str_mv Educación a distancia
Evaluación de estudiantes
Aprendizaje virtual
dc.subject.es.fl_str_mv Plan Ceibal
Online learning
LMS Engagement
Learning Analytics
Adaptive test
Plan Ceibal
Aprendizaje en línea
índice de compromiso
Analíticas de aprendizaje
dc.title.none.fl_str_mv When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es.fl_str_mv Publicado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description This paper analyzes a national technology and education program in Uruguay known as Plan Ceibal. This work studies a sample of over 105,000 students from 4th, 5th, and 6th grade of public primary education in that country. This work aims to assess the impact of technology on teaching and learning of English. The method adopted is based on log-file data to compare two different modalities of English teaching (a face-to-face and a blended model). Additionally, we explored the correlation between a common measure of online engagement when using the Learning Management System (LMS) and an adaptive English assessment. We examined the impact of the teaching modalities on the students engagement and to what extent the engagement can contribute to enhance the student learning of English. This work documents the steps followed to elaborate the common measure of engagement to ensure transparency and its replicability (or improvement). A strength of this work, in comparison with previous studies, is the number of cases analyzed as well as the age of the target population (primary school students). The results indicate that engagement is affected by at least three key factors: socio-cultural context, teaching modality, and the role that teachers play. In fact, the higher the engagement level, the larger the proportion of students who achieve a better learning outcome in the assessment. This study shows that the use of LMS enhanced the learning experience when this tool is integrated within the ecosystem of the teaching and learning process. The findings of this study are consistent with previous works in the field, for instance: the relevance of the context as well as the role of teaching. Although the measurement of engagement can help to understand students performance noteworthy that as a stand-alone dimension it is a poor predictor of performance. To consider additional factors associated with learning is still necessary.
eu_rights_str_mv openAccess
format article
id CEIBAL_f7669e9f11cefc7bc8293ba850bdb8f9
identifier_str_mv Marconi, C, Goyeneche, JJ, Cobo, C. (2017). When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning. DATA ANALYTICS 2017 : The Sixth International Conference on Data Analytics. IARIA Conferences. España.
978-1-61208-603-3
instacron_str Fundación Ceibal
institution Fundación Ceibal
instname_str Fundación Ceibal
language eng
network_acronym_str CEIBAL
network_name_str Ceibal en REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/418
publishDate 2017
reponame_str Ceibal en REDI
repository.mail.fl_str_mv mamunoz@fundacionceibal.edu.uy
repository.name.fl_str_mv Ceibal en REDI - Fundación Ceibal
repository_id_str 9421_1
rights_invalid_str_mv Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
Acceso abierto
spelling Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)Acceso abiertoinfo:eu-repo/semantics/openAccess2018-01-29T13:52:45Z2020-10-28T19:26:14Z2021-09-07T19:03:08Z2018-01-29T13:52:45Z2020-10-28T19:26:14Z2021-09-07T19:03:08Z2017-11Marconi, C, Goyeneche, JJ, Cobo, C. (2017). When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning. DATA ANALYTICS 2017 : The Sixth International Conference on Data Analytics. IARIA Conferences. España.978-1-61208-603-3https://hdl.handle.net/20.500.12381/418This paper analyzes a national technology and education program in Uruguay known as Plan Ceibal. This work studies a sample of over 105,000 students from 4th, 5th, and 6th grade of public primary education in that country. This work aims to assess the impact of technology on teaching and learning of English. The method adopted is based on log-file data to compare two different modalities of English teaching (a face-to-face and a blended model). Additionally, we explored the correlation between a common measure of online engagement when using the Learning Management System (LMS) and an adaptive English assessment. We examined the impact of the teaching modalities on the students engagement and to what extent the engagement can contribute to enhance the student learning of English. This work documents the steps followed to elaborate the common measure of engagement to ensure transparency and its replicability (or improvement). A strength of this work, in comparison with previous studies, is the number of cases analyzed as well as the age of the target population (primary school students). The results indicate that engagement is affected by at least three key factors: socio-cultural context, teaching modality, and the role that teachers play. In fact, the higher the engagement level, the larger the proportion of students who achieve a better learning outcome in the assessment. This study shows that the use of LMS enhanced the learning experience when this tool is integrated within the ecosystem of the teaching and learning process. The findings of this study are consistent with previous works in the field, for instance: the relevance of the context as well as the role of teaching. Although the measurement of engagement can help to understand students performance noteworthy that as a stand-alone dimension it is a poor predictor of performance. To consider additional factors associated with learning is still necessary.pp: 34 - 40engIARIA, 2017Plan CeibalOnline learningLMS EngagementLearning AnalyticsAdaptive testPlan CeibalAprendizaje en líneaíndice de compromisoAnalíticas de aprendizajeCiencias SocialesCiencias de la EducaciónEducación a distanciaEvaluación de estudiantesAprendizaje virtualWhen Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and LearningArtículoPublicadoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRecursos y plataformasNuevas formas de conocer, aprender, enseñar y evaluarEducadores en la era digitalreponame:Ceibal en REDIinstname:Fundación Ceibalinstacron:Fundación CeibalMarconi, CeciliaGoyeneche, Juan JoséCobo, CristóbalLICENSElicense.txttext/plain4611https://redi.anii.org.uy/jspui/bitstream/20.500.12381/418/2/license.txt04900bda284772ac092f06dccc513e67MD52ORIGINALdata_analytics_2017_3_10_60019 (2).pdfapplication/pdf525814https://redi.anii.org.uy/jspui/bitstream/20.500.12381/418/1/data_analytics_2017_3_10_60019%20%282%29.pdffcb9143f742b10c7034fe48b426de291MD5120.500.12381/4182024-04-15 11:59:58.363oai:redi.anii.org.uy:20.500.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://fundacionceibal.edu.uy/https://redi.anii.org.uy/oai/requestmamunoz@fundacionceibal.edu.uyUruguayopendoar:9421_12024-04-15T14:59:58Ceibal en REDI - Fundación Ceibalfalse
spellingShingle When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
Marconi, Cecilia
Plan Ceibal
Online learning
LMS Engagement
Learning Analytics
Adaptive test
Plan Ceibal
Aprendizaje en línea
índice de compromiso
Analíticas de aprendizaje
Ciencias Sociales
Ciencias de la Educación
Educación a distancia
Evaluación de estudiantes
Aprendizaje virtual
status_str publishedVersion
title When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
title_full When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
title_fullStr When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
title_full_unstemmed When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
title_short When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
title_sort When Teachers and Machines Achieve the Best Combination: A National Comparative Study of Face-to-face and Blended Teaching and Learning
topic Plan Ceibal
Online learning
LMS Engagement
Learning Analytics
Adaptive test
Plan Ceibal
Aprendizaje en línea
índice de compromiso
Analíticas de aprendizaje
Ciencias Sociales
Ciencias de la Educación
Educación a distancia
Evaluación de estudiantes
Aprendizaje virtual
url https://hdl.handle.net/20.500.12381/418