200111 SE Advanced Seminar: Work, Economy, and Society (2023S)
AI in psychological research and education
Continuous assessment of course work
Labels
Vertiefungsseminare können nur für das Pflichtmodul B verwendet werden! Eine Verwendung für das Modul A4 Freie Fächer ist nicht möglich.
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 02.02.2023 09:00 to Th 23.02.2023 09:00
- Deregistration possible until Fr 03.03.2023 09:00
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 06.03. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 20.03. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 27.03. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 17.04. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 24.04. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 08.05. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 15.05. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 22.05. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 05.06. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 12.06. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 19.06. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
- Monday 26.06. 09:45 - 11:15 Seminarraum Psychologie NIG 6.OG A0621A
Information
Aims, contents and method of the course
Recent advancements in Artificial Intelligence (AI) have created new use cases of AI both as a research topic and as a tool to assist and even improve research and learning practices. This course will deal with selected topics of research on human-AI interaction (e.g., AI/algorithm aversion). It will also deal with novel AI solutions that may help researchers and students in psychology and beyond in their work (e.g., in analysing data or even writing scientific text). Yet, the course will also address ethical and practical concerns related to this revolution. It will include both the presentation and discussion of scientific papers on the topic as well as practical sessions on using and applying AI in research-/study-related tasks.
Assessment and permitted materials
Students will be graded in their (1) presentation of a scientific article and a (2) written assignment on a practical issue related to the topic.
Minimum requirements and assessment criteria
Both parts of the evaluation will be weighted with 50% for the final grade.
Examination topics
The students should be interested in the topic of AI and its modern use cases. They should be willing to read scientific articles on the topic and try out different AI-driven platforms to explore their potential in psychological research and education.
Reading list
The literature is entirely based on scientific articles from psychology, marketing, information research, and related areas. The readings will be announced in the first session of the course and provided via Moodle.
Association in the course directory
Last modified: Fr 03.03.2023 16:08