Nutrition data analysis using R: applications in Higher Education
During the academic year 2015-2016, students of the Pontifical Catholic University of Ecuador worked on a project that studied the relationship between food quality and school performance of Greek students aged 10-12 years from schools located in various places of Greece. The university studen...
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oai:localhost:28000-32802017-04-10T22:15:32Z Nutrition data analysis using R: applications in Higher Education Stefos, Efstathios NUTRITION ANALYSIS APPLICATIONS HIGHER EDUCATION During the academic year 2015-2016, students of the Pontifical Catholic University of Ecuador worked on a project that studied the relationship between food quality and school performance of Greek students aged 10-12 years from schools located in various places of Greece. The university students used R in order to study the data and the statistical analysis showed that students who consume more frequently low quality food products are the ones with the poorest school performance. After the completion of the project, questionnaires delivered to Ecuadorian students in order to explore their views towards the use of R. A Descriptive Analysis and a Hierarchical Clustering were realized and the results showed that the students reacted very positively to the use of R in teaching Statistics. Pontificia Universidad Cat?lica Del Ecuador http://www.aascit.org/journal/archive2?journalId=908&paperId=3604 2016-11-10T14:29:17Z 2016-11-10T14:29:17Z 2016 article Koulianidi, Georgia; Stefos,Efstathios. (2016). Nutrition data analysis using R: applications in Higher Education. Vol.3. No.1. pp 10-16 2375-379X http://repositorio.educacionsuperior.gob.ec/handle/28000/3280 eng openAccess pp 10-16 |
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NUTRITION ANALYSIS APPLICATIONS HIGHER EDUCATION Stefos, Efstathios Nutrition data analysis using R: applications in Higher Education |
description |
During the academic year 2015-2016, students of the Pontifical Catholic University of
Ecuador worked on a project that studied the relationship between food quality and
school performance of Greek students aged 10-12 years from schools located in various
places of Greece. The university students used R in order to study the data and the
statistical analysis showed that students who consume more frequently low quality food
products are the ones with the poorest school performance. After the completion of the
project, questionnaires delivered to Ecuadorian students in order to explore their views
towards the use of R. A Descriptive Analysis and a Hierarchical Clustering were realized
and the results showed that the students reacted very positively to the use of R in
teaching Statistics. |
author |
Stefos, Efstathios |
author_facet |
Stefos, Efstathios |
author_sort |
Stefos, Efstathios |
title |
Nutrition data analysis using R: applications in Higher Education |
title_short |
Nutrition data analysis using R: applications in Higher Education |
title_full |
Nutrition data analysis using R: applications in Higher Education |
title_fullStr |
Nutrition data analysis using R: applications in Higher Education |
title_full_unstemmed |
Nutrition data analysis using R: applications in Higher Education |
title_sort |
nutrition data analysis using r: applications in higher education |
publishDate |
2016 |
url |
http://repositorio.educacionsuperior.gob.ec/handle/28000/3280 |
_version_ |
1634995124513538048 |
score |
11,871979 |