Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Katharina Böcherer-Linder"'
Autor:
Nicole Steib, Stefan Krauss, Karin Binder, Theresa Büchter, Katharina Böcherer-Linder, Andreas Eichler, Markus Vogel
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Previous research on Bayesian reasoning has typically investigated people’s ability to assess a posterior probability (i.e., a positive predictive value) based on prior knowledge (i.e., base rate, true-positive rate, and false-positive rate). In th
Externí odkaz:
https://doaj.org/article/b09f05b440074275a5182c3076ab1cdc
Autor:
Theresa Büchter, Nicole Steib, Katharina Böcherer-Linder, Andreas Eichler, Stefan Krauss, Karin Binder, Markus Vogel
Publikováno v:
Education Sciences, Vol 12, Iss 11, p 739 (2022)
Questions involving Bayesian Reasoning often arise in events of everyday life, such as assessing the results of a breathalyser test or a medical diagnostic test. Bayesian Reasoning is perceived to be difficult, but visualisations are known to support
Externí odkaz:
https://doaj.org/article/2ca4b65d03414dad9fafdbb5bf1e3f0e
Autor:
Theresa Büchter, Andreas Eichler, Nicole Steib, Karin Binder, Katharina Böcherer-Linder, Stefan Krauss, Markus Vogel
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1558 (2022)
Bayesian Reasoning is both a fundamental idea of probability and a key model in applied sciences for evaluating situations of uncertainty. Bayesian Reasoning may be defined as the dealing with, and understanding of, Bayesian situations. This includes
Externí odkaz:
https://doaj.org/article/4b7868a0709e43318c8114c3611d2876
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
People often struggle with Bayesian reasoning. However, previous research showed that people’s performance (and rationality) can be supported by the way the statistical information is represented. First, research showed that using natural frequenci
Externí odkaz:
https://doaj.org/article/14280e78db9d493da3db4b28debbaafb
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Bayes’ formula is a fundamental statistical method for inference judgments in uncertain situations used by both laymen and professionals. However, since people often fail in situations where Bayes’ formula can be applied, how to improve their per
Externí odkaz:
https://doaj.org/article/807ea8a3cbb2465fb19351dbdaea8f0a
Publikováno v:
Bedarfsgerechte fachmathematische Lehramtsausbildung ISBN: 9783658340667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c04ccd467b374c77c07a16222ae868a
https://doi.org/10.1007/978-3-658-34067-4_19
https://doi.org/10.1007/978-3-658-34067-4_19
Publikováno v:
Journal für Mathematik-Didaktik. 39:127-146
Es wird eine Forschungsarbeit vorgestellt, die im interdisziplinaren Feld von Psychologie und Mathematikdidaktik angelegt ist. Der Artikel geht von der Frage aus, wie Lernende effektiv bei der Losung von Aufgaben mit der Formel von Bayes unterstutzt
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Frontiers in Psychology
Frontiers in Psychology
Bayes’ formula is a fundamental statistical method for inference judgments in uncertain situations used by both laymen and professionals. However, since people often fail in situations where Bayes’ formula can be applied, how to improve their per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91c607c892dfc96011bce32ff3158d2f
Publikováno v:
Redined, Red de Información Educativa
Ministerio de Educación, Cultura y Deporte (MECD)
Ministerio de Educación, Cultura y Deporte (MECD)
Resumen basado en el de la publicación Resumen en español, francés y portugués Existe un amplio consenso en que la visualización de la información estadística puede apoyar el razonamiento bayesiano. Se pretenden comprender las situaciones que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9840f9d67e945acb821a0f65919197b7
http://funes.uniandes.edu.co/11393/
http://funes.uniandes.edu.co/11393/
Publikováno v:
Frontiers in Psychology
It is an ongoing debate, what properties of visualizations increase people’s performance when solving Bayesian reasoning tasks. In the discussion of the properties of two visualizations, i.e., the tree diagram and the unit square, we emphasize how