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190025 PR M16 Science Practicum (2025S)
Continuous assessment of course work
Labels
Details
max. 15 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- N Wednesday 05.03. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 19.03. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 26.03. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 02.04. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 09.04. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 30.04. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 07.05. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 14.05. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 21.05. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 28.05. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 04.06. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 11.06. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 18.06. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
- Wednesday 25.06. 11:30 - 13:00 Seminarraum 6 Sensengasse 3a 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Expected outcomes include:
- participation in the seminar
- the preparation of the data collection,
- the data collection and
- the analysis of the data
- participation in the seminar
- the preparation of the data collection,
- the data collection and
- the analysis of the data
Minimum requirements and assessment criteria
Minimum requirement:
- Presence is compulsory.
- Data collection is prepared and preparation is documented.
- Data is collected and documented.
- Selected data are analyzed and analysis is documented.Assessment Measure:
- Preparation of data collection: 24 points
- Implementation of data collection: 52 points
- Analysis of the data: 24 pointsYou have successfully passed the seminar if you score at least 50 points.
And as usual: To ensure good scientific practice, students may be invited to a grade-relevant interview after handing in the documentations, which has to be passed positively. In case of plagiarism of a partial performance, the whole seminar counts as plagiarized.
- Presence is compulsory.
- Data collection is prepared and preparation is documented.
- Data is collected and documented.
- Selected data are analyzed and analysis is documented.Assessment Measure:
- Preparation of data collection: 24 points
- Implementation of data collection: 52 points
- Analysis of the data: 24 pointsYou have successfully passed the seminar if you score at least 50 points.
And as usual: To ensure good scientific practice, students may be invited to a grade-relevant interview after handing in the documentations, which has to be passed positively. In case of plagiarism of a partial performance, the whole seminar counts as plagiarized.
Examination topics
Knowledge of research methods will be updated together as needed. Practices of data collection and analysis will be developed together.
Reading list
Der Lehrplan digitale Grundbildung (ab S. 3): https://www.ris.bka.gv.at/Dokumente/BgblAuth/BGBLA_2022_II_267/BGBLA_2022_II_267.pdfsig
Das Frankfurt-Dreieck, auf dem der Lehrplan basiert: https://dagstuhl.gi.de/fileadmin/GI/Allgemein/PDF/Frankfurt-Dreieck-zur-Bildung-in-der-digitalen-Welt.pdf
Eine erste Untersuchung zur Unterrichtspraxis: https://journals.univie.ac.at/index.php/mp/article/view/mi1279
Das Frankfurt-Dreieck, auf dem der Lehrplan basiert: https://dagstuhl.gi.de/fileadmin/GI/Allgemein/PDF/Frankfurt-Dreieck-zur-Bildung-in-der-digitalen-Welt.pdf
Eine erste Untersuchung zur Unterrichtspraxis: https://journals.univie.ac.at/index.php/mp/article/view/mi1279
Association in the course directory
WM-M16
Last modified: Fr 10.01.2025 00:02
The seminar will focus on investigations of the newly introduced school subject "Digitale Grundbildung". Various questions will be pursued: How do students experience the new subject? Which contents are presented in class? Which teaching methods have been used? How are inclusion, diversity and class differences taken into account?
In order to be able to answer such questions, a wide range of data will be collected and analyzed cooperatively in order to create a sound basis for your master's thesis.