Learning - contributions for one prompt and more personalized tutoring

Detalhes bibliográficos
Autor(a) principal: Silva Lino Oliveira, Armando
Data de Publicação: 2016
Outros Autores: Peres, Paula, Jesus, Ângelo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/21965
Resumo: This article describes an experience teaching and tutoring online course "Project courses e/b Learning" and was aimed at two main moments. At first moment we analysed and characterized the mentoring model formed by four tutors, reflecting on the advantages that this model provided in particular in relation to this aspect by which our model differs from traditional mentoring model made by a single tutor. In the second phase, we try to detect and analyse what were the days of the week that students have accessed the course in general and each of the specific modules, find answers to questions such as the duration of the modules, gender, day of the week to start the sessions / classes because they are important dimensions of distance education planning We seek to find patterns of behaviour trainees through the analysis of these records, which will allow us to move forward with a legislative proposal enhancer for more effective mentoring, faster and more personalized. The conclusions that this study allowed us to reach, given the sample used, (consisting of 31559 entries generated by 128 teachers of our polytechnic institute), show the following behavioural evidence: The highest number of total accesses to the course it was on Monday and Wednesday and the lowest number of accesses it was Sunday. The highest average accesses to the course it was on Monday and Wednesday and on Sunday it was the lowest number of accesses to the course. As contribution this study allows us to make the following proposal: The Mondays and Wednesdays are the most favourable days for successful tutoring and Sundays are unfavourable to schedule tutoring - discourage schedules tutorials.
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spelling Learning - contributions for one prompt and more personalized tutoringe-learningb-learningPersonalized tutoringPrompt tutoringThis article describes an experience teaching and tutoring online course "Project courses e/b Learning" and was aimed at two main moments. At first moment we analysed and characterized the mentoring model formed by four tutors, reflecting on the advantages that this model provided in particular in relation to this aspect by which our model differs from traditional mentoring model made by a single tutor. In the second phase, we try to detect and analyse what were the days of the week that students have accessed the course in general and each of the specific modules, find answers to questions such as the duration of the modules, gender, day of the week to start the sessions / classes because they are important dimensions of distance education planning We seek to find patterns of behaviour trainees through the analysis of these records, which will allow us to move forward with a legislative proposal enhancer for more effective mentoring, faster and more personalized. The conclusions that this study allowed us to reach, given the sample used, (consisting of 31559 entries generated by 128 teachers of our polytechnic institute), show the following behavioural evidence: The highest number of total accesses to the course it was on Monday and Wednesday and the lowest number of accesses it was Sunday. The highest average accesses to the course it was on Monday and Wednesday and on Sunday it was the lowest number of accesses to the course. As contribution this study allows us to make the following proposal: The Mondays and Wednesdays are the most favourable days for successful tutoring and Sundays are unfavourable to schedule tutoring - discourage schedules tutorials.ELSERepositório Científico do Instituto Politécnico do PortoSilva Lino Oliveira, ArmandoPeres, PaulaJesus, Ângelo2023-01-27T16:51:50Z2016-042016-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/21965engSilva, A., Peres, P., Jesus, Â., & Oliveira, L. (2016). Learning - Contributions For One Prompt And More Personalized Tutoring. The 12th International Scientific Conference eLearning and Software for Education, Bucharest. https://doi.org/ 10.12753/2066-026X-16-149 10.12753/2066-026X-16-149info: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:RCAAP2023-03-22T01:46:42Zoai:recipp.ipp.pt:10400.22/21965Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:42:02.707240Repositório 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 Learning - contributions for one prompt and more personalized tutoring
title Learning - contributions for one prompt and more personalized tutoring
spellingShingle Learning - contributions for one prompt and more personalized tutoring
Silva Lino Oliveira, Armando
e-learning
b-learning
Personalized tutoring
Prompt tutoring
title_short Learning - contributions for one prompt and more personalized tutoring
title_full Learning - contributions for one prompt and more personalized tutoring
title_fullStr Learning - contributions for one prompt and more personalized tutoring
title_full_unstemmed Learning - contributions for one prompt and more personalized tutoring
title_sort Learning - contributions for one prompt and more personalized tutoring
author Silva Lino Oliveira, Armando
author_facet Silva Lino Oliveira, Armando
Peres, Paula
Jesus, Ângelo
author_role author
author2 Peres, Paula
Jesus, Ângelo
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Silva Lino Oliveira, Armando
Peres, Paula
Jesus, Ângelo
dc.subject.por.fl_str_mv e-learning
b-learning
Personalized tutoring
Prompt tutoring
topic e-learning
b-learning
Personalized tutoring
Prompt tutoring
description This article describes an experience teaching and tutoring online course "Project courses e/b Learning" and was aimed at two main moments. At first moment we analysed and characterized the mentoring model formed by four tutors, reflecting on the advantages that this model provided in particular in relation to this aspect by which our model differs from traditional mentoring model made by a single tutor. In the second phase, we try to detect and analyse what were the days of the week that students have accessed the course in general and each of the specific modules, find answers to questions such as the duration of the modules, gender, day of the week to start the sessions / classes because they are important dimensions of distance education planning We seek to find patterns of behaviour trainees through the analysis of these records, which will allow us to move forward with a legislative proposal enhancer for more effective mentoring, faster and more personalized. The conclusions that this study allowed us to reach, given the sample used, (consisting of 31559 entries generated by 128 teachers of our polytechnic institute), show the following behavioural evidence: The highest number of total accesses to the course it was on Monday and Wednesday and the lowest number of accesses it was Sunday. The highest average accesses to the course it was on Monday and Wednesday and on Sunday it was the lowest number of accesses to the course. As contribution this study allows us to make the following proposal: The Mondays and Wednesdays are the most favourable days for successful tutoring and Sundays are unfavourable to schedule tutoring - discourage schedules tutorials.
publishDate 2016
dc.date.none.fl_str_mv 2016-04
2016-04-01T00:00:00Z
2023-01-27T16:51:50Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/21965
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Silva, A., Peres, P., Jesus, Â., & Oliveira, L. (2016). Learning - Contributions For One Prompt And More Personalized Tutoring. The 12th International Scientific Conference eLearning and Software for Education, Bucharest. https://doi.org/ 10.12753/2066-026X-16-149
 10.12753/2066-026X-16-149
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