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Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics

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Table of Contents

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    Book Overview
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    Chapter 1 Abstrakte Mathematik und Computer
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    Chapter 2 Der Body-Mass-Index – von Quetelet zu Haldane
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    Chapter 3 Unterrichtsgestaltungen zur Kompetenzförderung: zwischen Instruktion, Konstruktion und Metakognition
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    Chapter 4 Low Achievers’ Understanding of Place Value – Materials, Representations and Consequences for Instruction
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    Chapter 5 Visual integration with stock-flow models: How far can intuition carry us?
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    Chapter 6 Games, Data, and Habits of Mind
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    Chapter 7 Caging the Capybara: Understanding Functions through Modeling
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    Chapter 8 Visualisieren – Explorieren – Strukturieren: Multimediale Unterstützung beim Modellieren von Daten durch Funktionen
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    Chapter 9 Change point detection tasks to explore students’ informal inferential reasoning
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    Chapter 10 Eine kleine Geschichte statistischer Instrumente: vom Bleistift über R zu relax
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    Chapter 11 Implications of technology on what students need to know about statistics
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    Chapter 12 Tools for Learning Statistics: Fundamental Ideas in Statistics and the Role of Technology
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    Chapter 13 Chance Re-encounters: ’Computers in Probability Education’ revisited
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    Chapter 14 Multiple representations as tools for discovering pattern and variability – Insights into the dynamics of learning processes
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    Chapter 15 EDA Instrumented Learning with TinkerPlots
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    Chapter 16 Zur Erfassung sprachlicher Einflüsse beim stochastischen Denken
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    Chapter 17 The epistemological character of visual semiotic means used in elementary stochastics learning
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    Chapter 18 Contexts for Highlighting Signal and Noise
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    Chapter 19 Simulation als Bindeglied zwischen der empirischen Welt der Daten und der theoretischen Welt des Zufalls
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    Chapter 20 Modelling and Experiments – An Interactive Approach towards Probability and Statistics
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    Chapter 21 Using the software FATHOM for learning and teaching statistics in Germany – A review on the research activities of Rolf Biehler’s working group over the past ten years
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    Chapter 22 Konfektionsgrößen näher betrachtet – Ein Vorschlag zur Lehrerausbildung in Stochastik
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    Chapter 23 Konzeptualisierung unterschiedlicher Kompetenzen und ihrer Wechselwirkungen, wie sie bei der Bearbeitung von stochastischen Simulationsaufgaben mit dem Computer auftreten
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    Chapter 24 Explorative Datenanalyse und stochastische Simulationen mit Tinker- Plots – erste Einsätze in Kassel & Paderborn
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    Chapter 25 Wondering, Wandering or Unwavering? Learners’ Statistical Investigations with Fathom
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    Chapter 26 Preparing teachers to teach conditional probability: a didactic situation based on the Monty Hall problem
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    Chapter 27 Teaching Statistical Thinking in the Data Deluge
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    Chapter 28 Students’ difficulties in practicing computer-supported statistical inference: Some hypothetical generalizations from a study
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    Chapter 29 Using TinkerPlots™ to develop tertiary students’ statistical thinking in a modeling-based introductory statistics class
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    Chapter 30 Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics
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    Chapter 31 Math-Bridge: Closing Gaps in European Remedial Mathematics with Technology-Enhanced Learning
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    Chapter 32 Mathematik als Werkzeug: Sicht- und Arbeitsweisen von Studierenden am Anfang ihres Mathematikstudiums
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    Chapter 33 Der operative Beweis als didaktisches Instrument in der Hochschullehre Mathematik
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    Chapter 34 Werkstattbericht der Arbeitsgruppe ″Mathematik in den Ingenieurwissenschaften″
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    Chapter 35 Das Deutsche Zentrum für Lehrerbildung Mathematik (DZLM)
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Title
Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics
Published by
Springer Fachmedien Wiesbaden, January 2014
DOI 10.1007/978-3-658-03104-6
ISBNs
978-3-65-803103-9, 978-3-65-803104-6
Editors

Thomas Wassong, Daniel Frischemeier, Pascal R. Fischer, Reinhard Hochmuth, Peter Bender

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
Indonesia 1 3%
United States 1 3%
Peru 1 3%
Unknown 29 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 4 12%
Researcher 4 12%
Student > Doctoral Student 2 6%
Lecturer 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Mathematics 8 24%
Social Sciences 6 18%
Engineering 4 12%
Computer Science 3 9%
Economics, Econometrics and Finance 2 6%
Other 4 12%
Unknown 7 21%