Using real data for statistics education in an open-source learning environment

Anna H. Jonsdottir; Jamie Lentin; Violeta Calian; Eggert K. Hafsteinsson; Gunnar Stefansson

doi:10.1111/test.12237

Using real data for statistics education in an open-source learning environment

Anna H. Jonsdottir
, Jamie Lentin
, Violeta Calian
, Eggert K. Hafsteinsson
, Gunnar Stefansson

Faculty of Physical Sciences

University of Iceland

Research output: Contribution to journal › Article › peer-review

Abstract

The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that students can enter their own data or get real data from several data sources for practicing and learning new concepts.

Original language	English
Pages (from-to)	5-12
Number of pages	8
Journal	Teaching Statistics
Volume	43
Issue number	1
DOIs	https://doi.org/10.1111/test.12237
Publication status	Published - 26 Aug 2020

Bibliographical note

Funding Information: European Commission's Horizon 2020 Research and Innovation Programme, Grant/Award Numbers: 634495, 825696; European Union's Seventh Framework Programme for research, technological development and demonstration, Grant/Award Number: 613571; Icelandic Research Fund, Grant/Award Number: 152039051 Funding information Funding Information: The new work described in this paper has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (Grant Agreement number 825696 — 2018‐IS‐Literacy). The Smileycoin and the tutor‐web projects have also been funded by several grants and grant agencies including the University of Iceland Research Fund, and from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 613571 for the project MareFrame and from the European Commission's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the project Science, Technology, and Society Initiative to minimize Unwanted Catches in European Fisheries (Minouw). Funding from the Icelandic Research Fund (Rannís, No. 152039051) is also acknowledged. Publisher Copyright: © 2020 Teaching Statistics Trust

Other keywords

learning environment
real data
students providing content
teaching

Access to Document

10.1111/test.12237

Cite this

@article{247642b9e8a34f0e9fd5f240d18c9b34,

title = "Using real data for statistics education in an open-source learning environment",

abstract = "The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that students can enter their own data or get real data from several data sources for practicing and learning new concepts.",

keywords = "learning environment, real data, students providing content, teaching",

author = "Jonsdottir, \{Anna H.\} and Jamie Lentin and Violeta Calian and Hafsteinsson, \{Eggert K.\} and Gunnar Stefansson",

note = "Funding Information: European Commission's Horizon 2020 Research and Innovation Programme, Grant/Award Numbers: 634495, 825696; European Union's Seventh Framework Programme for research, technological development and demonstration, Grant/Award Number: 613571; Icelandic Research Fund, Grant/Award Number: 152039051 Funding information Funding Information: The new work described in this paper has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (Grant Agreement number 825696 — 2018‐IS‐Literacy). The Smileycoin and the tutor‐web projects have also been funded by several grants and grant agencies including the University of Iceland Research Fund, and from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 613571 for the project MareFrame and from the European Commission's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the project Science, Technology, and Society Initiative to minimize Unwanted Catches in European Fisheries (Minouw). Funding from the Icelandic Research Fund (Rann{\'i}s, No. 152039051) is also acknowledged. Publisher Copyright: {\textcopyright} 2020 Teaching Statistics Trust",

year = "2020",

month = aug,

day = "26",

doi = "10.1111/test.12237",

language = "English",

volume = "43",

pages = "5--12",

journal = "Teaching Statistics",

issn = "0141-982X",

publisher = "Wiley-Blackwell",

number = "1",

}

TY - JOUR

T1 - Using real data for statistics education in an open-source learning environment

AU - Jonsdottir, Anna H.

AU - Lentin, Jamie

AU - Calian, Violeta

AU - Hafsteinsson, Eggert K.

AU - Stefansson, Gunnar

N1 - Funding Information: European Commission's Horizon 2020 Research and Innovation Programme, Grant/Award Numbers: 634495, 825696; European Union's Seventh Framework Programme for research, technological development and demonstration, Grant/Award Number: 613571; Icelandic Research Fund, Grant/Award Number: 152039051 Funding information Funding Information: The new work described in this paper has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (Grant Agreement number 825696 — 2018‐IS‐Literacy). The Smileycoin and the tutor‐web projects have also been funded by several grants and grant agencies including the University of Iceland Research Fund, and from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 613571 for the project MareFrame and from the European Commission's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the project Science, Technology, and Society Initiative to minimize Unwanted Catches in European Fisheries (Minouw). Funding from the Icelandic Research Fund (Rannís, No. 152039051) is also acknowledged. Publisher Copyright: © 2020 Teaching Statistics Trust

PY - 2020/8/26

Y1 - 2020/8/26

N2 - The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that students can enter their own data or get real data from several data sources for practicing and learning new concepts.

AB - The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that students can enter their own data or get real data from several data sources for practicing and learning new concepts.

KW - learning environment

KW - real data

KW - students providing content

KW - teaching

UR - https://www.scopus.com/pages/publications/85089868798

U2 - 10.1111/test.12237

DO - 10.1111/test.12237

M3 - Article

SN - 0141-982X

VL - 43

SP - 5

EP - 12

JO - Teaching Statistics

JF - Teaching Statistics

IS - 1

ER -

Using real data for statistics education in an open-source learning environment

Abstract

Bibliographical note

Other keywords

Access to Document

Fingerprint

Cite this