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Engaging students to learn forecasting methods

dc.contributor.authorTorres, Cristina
dc.contributor.authorBabo, Lurdes
dc.contributor.authorMendonça, Jorge
dc.date.accessioned2018-07-27T11:06:45Z
dc.date.available2018-07-27T11:06:45Z
dc.date.issued2018-07
dc.description.abstractPresently, higher education institutions are faced with the challenge of developing student’s abilities and skills needed in their future workplace. In what concerns technological skills, the use of spreadsheets for calculations, analysis of data and forecasting is a common and important practice in companies. Particularly, the MS Excel software is widely used by professionals from all fields. In this sense, Economic, Business and Marketing graduates need competencies in forecasting methods, extremely useful for decision-making processes. It thus becomes imperative to implement pedagogical practices to encourage students to use these technological tools. The later will promote the development of competencies in forecasting methods to solve future real problems. In this paper, we attempt to address these issues by analysing the MS Excel software capabilities as a teaching tool in a forecasting methods course. It was proposed to the students to carry out a learning project involving statistical concepts, namely linear regression, performed in MS Excel. We examine the performance and engagement of two samples of students with different backgrounds and from distinct realities. One group is composed of ERASMUS’ students from several nationalities and fields of study and other group consists of Portuguese students of the Marketing Bachelor degree, both enrolled in an optional course of the bachelor degree in Marketing taught at Porto Accounting and Business School from Polytechnic of Porto. The effectiveness of this approach is shown through the analysis of results of students’ projects. We verify that students in both groups achieved the task proposed goals and applied appropriately the required concepts in an engaged way.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doiEngaging students to learn forecasting methodspt_PT
dc.identifier.isbn978-84-09-02709-5
dc.identifier.urihttp://hdl.handle.net/10400.22/11780
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherINTEDpt_PT
dc.subjectHigher educationpt_PT
dc.subjectExcelpt_PT
dc.subjectLinear regressionpt_PT
dc.subjectForecastingpt_PT
dc.titleEngaging students to learn forecasting methodspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlacePalma, Mallorca, Spainpt_PT
oaire.citation.endPage10343pt_PT
oaire.citation.startPage10337pt_PT
oaire.citation.title10th annual International Technology, Conference on Education and New Learning Technologiespt_PT
person.familyNamePereira Torres
person.familyNamebabo
person.familyNameMendonça
person.givenNameCristina
person.givenNamelurdes
person.givenNameJorge
person.identifier.ciencia-id111C-A2B8-EBB4
person.identifier.ciencia-id061D-F07E-1BBD
person.identifier.ciencia-idA41A-14BF-6F7A
person.identifier.orcid0000-0002-8644-2381
person.identifier.orcid0000-0001-5090-8736
person.identifier.orcid0000-0002-8359-139X
person.identifier.ridA-7445-2017
person.identifier.ridA-6977-2017
person.identifier.ridE-2601-2019
person.identifier.scopus-author-id57212003105
person.identifier.scopus-author-id57194870912
person.identifier.scopus-author-id57021109500
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7ff54c60-dca4-47c1-8c5a-6fd3f7d727e0
relation.isAuthorOfPublication604fc275-7cb1-42f5-87d5-6c5ad18dcf81
relation.isAuthorOfPublication2cdc2cdc-fe42-4a7e-ad1a-bf134c4cfb66
relation.isAuthorOfPublication.latestForDiscovery2cdc2cdc-fe42-4a7e-ad1a-bf134c4cfb66

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