THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY

Statistics is considered to be an indispensable part of a wide range of curricula across the globe, natural science curricula included. Teachers and curriculum developers are typically confronted with four questions with regard to the role and position of statistics in a curriculum: (1) how to integ...

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Main Authors: HYBŠOVÁ, Aneta, LEPPINK, Jimmie
Format: Article
Language:English
Published: Czech University of Life Sciences Prague 2015-03-01
Series:Journal on Efficiency and Responsibility in Education and Science
Subjects:
Online Access:http://dx.doi.org/10.7160/eriesj.2015.080102
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spelling doaj-e2a7c2eec4e64dfcab9aebb716046a692020-11-25T00:25:08ZengCzech University of Life Sciences PragueJournal on Efficiency and Responsibility in Education and Science1803-16172015-03-018181410.7160/eriesj.2015.080102THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDYHYBŠOVÁ, Aneta0LEPPINK, JimmieFaculty of Education Charles UnivesityStatistics is considered to be an indispensable part of a wide range of curricula across the globe, natural science curricula included. Teachers and curriculum developers are typically confronted with four questions with regard to the role and position of statistics in a curriculum: (1) how to integrate statistics in the curriculum; (2) which topics to cover and in what detail; (3) how much time to allocate to statistics in a curriculum; and (4) how to organize a course and which study materials to select. This paper addresses these four questions through a case study: four curricula at Charles University, Prague, Czech Republic, are compared in terms of how they address these four questions. Placing this comparison in a framework of cognitive load theory and two decades of research inspired by this theory, this paper concludes with a number of guidelines for addressing the aforementioned four questions when designing a curriculum.http://dx.doi.org/10.7160/eriesj.2015.080102Statistics educationcourse analysiscurriculum developmentcognitive load theory
collection DOAJ
language English
format Article
sources DOAJ
author HYBŠOVÁ, Aneta
LEPPINK, Jimmie
spellingShingle HYBŠOVÁ, Aneta
LEPPINK, Jimmie
THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY
Journal on Efficiency and Responsibility in Education and Science
Statistics education
course analysis
curriculum development
cognitive load theory
author_facet HYBŠOVÁ, Aneta
LEPPINK, Jimmie
author_sort HYBŠOVÁ, Aneta
title THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY
title_short THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY
title_full THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY
title_fullStr THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY
title_full_unstemmed THE SUBJECT OF STATISTICS IN NATURAL SCIENCE CURRICULA: A CASE STUDY
title_sort subject of statistics in natural science curricula: a case study
publisher Czech University of Life Sciences Prague
series Journal on Efficiency and Responsibility in Education and Science
issn 1803-1617
publishDate 2015-03-01
description Statistics is considered to be an indispensable part of a wide range of curricula across the globe, natural science curricula included. Teachers and curriculum developers are typically confronted with four questions with regard to the role and position of statistics in a curriculum: (1) how to integrate statistics in the curriculum; (2) which topics to cover and in what detail; (3) how much time to allocate to statistics in a curriculum; and (4) how to organize a course and which study materials to select. This paper addresses these four questions through a case study: four curricula at Charles University, Prague, Czech Republic, are compared in terms of how they address these four questions. Placing this comparison in a framework of cognitive load theory and two decades of research inspired by this theory, this paper concludes with a number of guidelines for addressing the aforementioned four questions when designing a curriculum.
topic Statistics education
course analysis
curriculum development
cognitive load theory
url http://dx.doi.org/10.7160/eriesj.2015.080102
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