Stammdaten

Integration of applied statistics projects into statistical education
Beschreibung:

We address problems that arise in teaching statistics in non-statistical degree courses in statistics. The typical student reveals basic difficulties in the understanding of the key concepts. This project is aimed to design teaching units and to investigate experiences with the “project method”, motivating students with real data from the future profession. The project method should generate collaborative learning and social interaction between groups by embedding learning statistics in the context of applied problems in the form of projects. Godino’s semiotic ontological framework provides elements for the investigation of the instructional process and for the design of didactic trajectories in the first exploratory phase of execution, as well as exposing the linguistic, situational, actuative, conceptual, propositional, and argumentative elements that are relevant in understanding a particular topic. 

 

The analyses of our experimental classes show a relative success, so that we – backed up by our theoretical analysis – propose the project method for teaching statistics, especially for hybrid courses where face-to-face is combined with virtual parts of knowledge acquisition.

Schlagworte: Statistik
Kurztitel: IASP
Zeitraum: 01.01.2018 - 31.12.2023
Kontakt-Email: -
Homepage: -

MitarbeiterInnen

MitarbeiterInnen Funktion Zeitraum
Atif Evren (extern)
  • Kooperationspartner/in
  • 01.01.2020 - 31.12.2022
Dogan Yildiz (extern)
  • Kooperationspartner/in
  • 01.01.2020 - 31.12.2022
Teresita Teran (extern)
  • Kooperationspartner/in
  • 01.01.2020 - 31.12.2022
Manfred Borovcnik (intern)
  • Projektleiter/in
  • 01.01.2020 - 31.12.2022

Kategorisierung

Projekttyp laufender Arbeitsschwerpunkt
Förderungstyp Sonstiger
Forschungstyp
  • Angewandte Forschung
Sachgebiete
  • 101018 - Statistik
Forschungscluster Kein Forschungscluster ausgewählt
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Professionals (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt

Finanzierung

Keine Förderprogramme vorhanden

Kooperationen

Organisation Adresse
Technical University Istanbul
Istanbul
Türkei
TR  Istanbul
Universidad de Rosario
Santa Fe
Argentinien
AR  Santa Fe