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Learning - contributions for one prompt and more personalized tutoring

dc.contributor.authorSilva Lino Oliveira, Armando
dc.contributor.authorPeres, Paula
dc.contributor.authorJesus, Ângelo
dc.date.accessioned2023-01-27T16:51:50Z
dc.date.available2023-01-27T16:51:50Z
dc.date.issued2016-04
dc.description.abstractThis 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, 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-16-149pt_PT
dc.identifier.doi 10.12753/2066-026X-16-149pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/21965
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherELSEpt_PT
dc.relation.publisherversionhttps://proceedings.elseconference.eu/index.php?r=site/index&year=2016&index=papers&vol=22&paper=1a123d251a618b73b0d2c0280e4efa3cpt_PT
dc.subjecte-learningpt_PT
dc.subjectb-learningpt_PT
dc.subjectPersonalized tutoringpt_PT
dc.subjectPrompt tutoringpt_PT
dc.titleLearning - contributions for one prompt and more personalized tutoringpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceBucharestpt_PT
oaire.citation.endPage425pt_PT
oaire.citation.startPage416pt_PT
oaire.citation.titleThe 12th International Scientific Conference eLearning and Software for Educationpt_PT
oaire.citation.volume2pt_PT
person.familyNameJesus
person.givenNameÂngelo
person.identifier.ciencia-idA91F-3585-4F42
person.identifier.orcid0000-0003-3972-8253
person.identifier.ridA-4404-2012
person.identifier.scopus-author-id56153841300
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1cbff3da-9800-4bd7-8d84-fd8d9ca819b2
relation.isAuthorOfPublication.latestForDiscovery1cbff3da-9800-4bd7-8d84-fd8d9ca819b2

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