Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Session
SLSE1: Statistical Literacy and Statistical Education I
Time:
Tuesday, 19/Mar/2019:
9:00am - 10:40am

Session Chair: Katharina Schüller
Location: A 140
Verfügbar: Di-Fr, je 7-23 Uhr Plätze: 382 Technikausstattung: BE, DIA, DVD, MF, MP, TA, TE, V Bestuhlung: fest Grüne Tafel: ja

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Presentations
9:00am - 9:20am

Data science education at school level – Conceptions, examples and experience from a pilot project

Rolf Biehler

Universität Paderborn, Germany



9:20am - 9:40am

Causal Modelling in Introductory Statistics?

Karsten Lübke1, Matthias Gehrke1, Jörg Horst2, Sebastian Sauer1

1FOM University of Applied Sciences, Germany; 2Bielefeld University of Applied Sciences, Germany



9:40am - 10:00am

Flipped Classroom Implementation in Large Statistics Lectures

Constantin Weiser1, Manuel Förster1, Florian Heiss2, Sigbert Klinke3, Andreas Maur1, Thorsten Schank1, Kirsten Winkel1

1Johannes Gutenberg University Mainz, Germany; 2Heinrich Heine University Duesseldorf, Germany; 3Humboldt University Berlin, Germany



10:00am - 10:20am

shinyExample - ein R Paket zur Unterstützung der Entwicklung einfacher Shiny-Apps

Sigbert Klinke

Humboldt-Universität zu Berlin, Germany



10:20am - 10:40am

Die Prognose des Studienerfolgs auf Basis individueller Studienveräufe im Fach Wirtschaftswissenschaft

Ulrich Rendtel, Sören Pannier

Freie Universität Berlin, Germany



 
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