230430 Qualitative Forschungsmethoden in der Medienwissenschaft (am Beispiel Künstlicher Intelligenz) (S) (WiSe 2023/2024)
Contents, comment
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Am 30. November 2023 ist es ein Jahr her, das Chat GPT der Öffentlichkeit zugänglich gemacht wurde.
Welche Erfahrungen haben wir mit Künstlichen Intelligenzen in dieser Zeit gesammelt?
Mit welchen Forschungsmethoden lässt sich die Nutzung Künstlicher Intelligenz erforschen?
In diesem Seminar werden wir einige Grundlagen qualitativer Forschungsmethoden sowie das Forschungsdesign, die Datenerhebung bis zur Auswertung und Präsentation vorstellen.
Studierende werden im Rahmen dieses Seminars kleinere Forschungsprojekte durchführen.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 25-MeWi-HM6 (Neue) Medien und Lernen | Lehrveranstaltung I | Graded examination
|
Student information |
| Lehrveranstaltung II | Study requirement
|
Student information | |
| Lehrveranstaltung III | Study requirement
|
Student information | |
| 30-MeWi-HM4 Methoden der Medienforschung | Lehrveranstaltung I | Graded examination
|
Student information |
| Lehrveranstaltung II | Study requirement
|
Student information | |
| Lehrveranstaltung III | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 6
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- WS2023_230430@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_421924306@ekvv.uni-bielefeld.de
- Coverage:
- 6 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, May 11, 2023
- Last update times:
- Monday, October 30, 2023
- Last update rooms:
- Monday, October 30, 2023
- Type(s) / SWS (hours per week per semester)
- S / 2
- Department
- Faculty of Linguistics and Literary Studies
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=421924306
- Send page to mobile
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Click to open QR code
Scan QR code:
- ID
- 421924306