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dc.contributor.authorRamos, Jose Francisco
dc.contributor.authorIskandaryan, Ditsuhi
dc.contributor.authorKoribska, Iva
dc.date.accessioned2023-07-18T10:20:28Z
dc.date.available2023-07-18T10:20:28Z
dc.date.issued2022
dc.identifier.citationF. Ramos, D. Iskandaryan, I. Koribska (2022) DATA VISUALISATION FOR TEACHERS: HOW TO READ, INTERPRET AND SHOW DATA CORRECTLY, EDULEARN22 Proceedings, p. 8022.ca_CA
dc.identifier.isbn9788409424849
dc.identifier.issn2340-1117
dc.identifier.urihttp://hdl.handle.net/10234/203345
dc.descriptionPonència presentada en: 14th annual International Conference on Education and New Learning Technologies (EDULEARN22), Palma, 4-6 July, 2022.ca_CA
dc.description.abstractNowadays, visual information such as charts, diagrams, infographics and so forth are omnipresent in social media, presentations, online scientific papers, that is, in the digital world. We have all heard the well-known sentence about pictures: a picture is worth a thousand words. In the context of charts, it is essential to read the information with attention and care, otherwise we may not understand the core underlying message. Thus, charts, line graphs, bar graphs, plots, etc. can provide us value information, such as trends or patterns hidden by numbers, if we properly read them. However, charts can also be, intentionally or not, confusing. Thus, we can claim that charts could lie in different ways such as a having a poor design, showing inaccurate or insufficient data, or presenting misleading patterns. In this work, we aim at improving the teacher’s skills in detecting the poor-practice in chart creation, although much of this poor practice is not deliberate, often it is due to the lack of knowledge from the user, but sometimes it could also be by reasons ethically questionable. So, we divided this work in three stages. First, teachers receive information and material for the preparation, design, and delivery of effective and efficient charts. In the second stage, they brought to the classroom examples of charts not correctly created, and the content and message from them are carefully analysed. Finally, they modified those examples and showed in the classroom the changes and the reasons to support them. Finally, teachers understood that the creation of charts is relatively easy, but the ways how data can represented or misrepresented is key in the communication process.ca_CA
dc.format.extent1 p.ca_CA
dc.language.isoengca_CA
dc.publisherInternational Academy of Technology, Education and Development (IATED)ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/ca_CA
dc.subjectChartsca_CA
dc.subjectpresentationca_CA
dc.subjectinfographicsca_CA
dc.subjectefficient digital representationca_CA
dc.titleData Visualisation For Teachers: How To Read, Interpret And Show Data Correctlyca_CA
dc.typeinfo:eu-repo/semantics/conferenceObjectca_CA
dc.identifier.doi10.21125/edulearn.2022.1885
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://library.iated.org/view/RAMOS2022DATca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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