Universität Wien FIND

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Vor-Ort-Lehre und Umstellung auf Online-Prüfungen) erforderlich sein. Melden Sie sich für Lehrveranstaltungen/Prüfungen über u:space an, informieren Sie sich über den aktuellen Stand auf u:find und auf der Lernplattform moodle.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter https://studieren.univie.ac.at/info.

180210 KU Cognitive Science Peer Teaching Course (2020W)

5.00 ECTS (3.00 SWS), SPL 18 - Philosophie
Prüfungsimmanente Lehrveranstaltung



max. 25 Teilnehmer*innen
Sprache: Englisch



COVID-19 Information:

Update Jan 12, 2021
The last session on Jan 18 will be postponed. Please take a look at the associated Moodle Course for further information!

Update Nov 2, 2020
Due to new COVID regulations this course will be switched to digital only mode.
Please consult the associated Moodle Course for further information.
If you are registered for this course, you will be informed about the teaching modalities via mail in time.

As the exact number of participating students is not known yet, it is still open whether this course will be offered in presence or online. This course is prepared in a hybrid format (i.e., a combination of online and presence).
If you are registered for this course, you will be informed about the teaching modalities via mail in time.
In any case, the dates/times below remain the same.
Please take a look at the associated Moodle Course for all information concerning the shift to "remote learning" for this course!

Dates, times & locations:

Thu Oct 1, 2020 | 13.30 - 19h | HS 2i (NIG, Universitäststrasse 7, 2nd floor) | https://goo.gl/maps/zexCfcuDbJJtQjmz7
Introductory/Information Meeting and Teambuilding
This unit is open only to MEi:CogSci students!

Mo Oct 19, 2020 | 13.00-18.00 | HS 2i (NIG, Universitäststrasse 7, 2nd floor)
Cognitive Science Open Space #1 (+ Introductory meeting for non MEi:CogSci students)

Mo Nov 9, 2020 | 13.00-18.00 | HS 2i (NIG, Universitäststrasse 7, 2nd floor)
Neural Computation and Connectionism (consolidation)

Mo Nov 16, 2020 | 13.00-18.00 | HS 2i (NIG, Universitäststrasse 7, 2nd floor)
Cognitive Science Open Space #2

Mo Nov 23, 2020 | 13.00-18.00 | HS 2i (NIG, Universitäststrasse 7, 2nd floor)
Cognitive Science Open Space #3

Mo Jan 18, 2021 | 13.00-18.00 | HS 2i (NIG, Universitäststrasse 7, 2nd floor)
Semester Feedback Open Space

* IMPORTANT: You have to *register* for this course via https://uspace.univie.ac.at/ | Otherwise we cannot issue a grade. Further information about the registration period can be found in the description of this course and here: https://ssc-phil.univie.ac.at/en/


Ziele, Inhalte und Methode der Lehrveranstaltung

This course opens a space to investigate the question: "What are the issues and opportunities of putting to use, what we seem to know about cognition?" In doing so, it complements the MEi:CogSci course „Introduction to Cognitive Science“ Lecture. Participating in the peer teaching seminar is strongly encouraged for all MEi:CogSci students, as well as for all who want to deepen their understanding of how we can understand Cognitive Science.

To address this question, the course is run in an Open Space format (see https://en.wikiversity.org/wiki/Open_Space_Technology for details): students may collaborate in interdisciplinary teams and jointly discuss issues in the scope of Cognitive Science. In this format students may introduce their Cognitive Science-related topics around which they and their peers can start working in groups of size and duration as it suits the topic/participants.

Open Space is a methodical approach in which a group of people can work together in a self-organized and self-motivated way in response to their curiosity. There are no predetermined individual topics. Anyone can advance an issue that is of particular interest to him-/herself. This can be any kind of topic or question, whether complex/simple, common/personal, urgent/non-urgent. These topics/questions can be (re)formulated and adapted throughout the event. This creates a large "marketplace of topics" where participants can join together to form topic groups. The method enables broad participation, generate mutual understanding, and energy for a possible (immediate or future) implementation of the ideas that have been worked out together. In this peer-interaction/learning/teaching format participants will also be able to learn how to engage in an interdisciplinary discourse by discovering, discussing, challenging, and breaking up their premises and patterns of thinking in a safe environment.

The method aims at encouraging voluntary engagement with those topics or questions any participant strongly cares about at a given point in time. The role of the instructor is to facilitate these knowledge (and social) processes and to provide an enabling and safe environment that supports these interactions.

At the end of every session each group gives a short presentation of their results and insights; these can be discussed by the whole group, if it seems useful and appropriate.

In the final session we will work in an Open Space format on a joint review and feedback of the semester.

What was one positive experience during this semester?
What was one challenge you faced during the semester?
What did you learn from how you dealt with the challenge?
What is one thing the semester made you eager to do in future?

If you are interested in being informed about cognitive science activities at the University of Vienna and in the Vienna region, have a look at the Vienna Cognitive Science Hub -> https://cogsci.univie.ac.at/
and subscribe to one of the mailing lists: https://cogsci.univie.ac.at/news-media/mailing-lists/

Art der Leistungskontrolle und erlaubte Hilfsmittel

see below

Mindestanforderungen und Beurteilungsmaßstab

Minimum requirements for passing the course:
- Successful registration and being accepted for this course
- Your presence at the first meeting (otherwise you will loose your place for this course)
- Active participation in the course and teamwork sessions (you may miss max. 1 session [please inform the instructor ahead of time!])
- Preparation of your personal question(s) for each session
- Reflection on your experiences of the open space format (see related Moodle course for further details; submit before deadline via Moodle))
- Semester feedback paper (see related Moodle course for further details; submit before feedback session via Moodle)

Assessment criteria:
55% | Reflection on your experiences of the open space format
45% | Semester feedback paper (submit prior to feedback session via Moodle)

%/points | grade
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)

Important notes:
* Take a look at the Moodle-Webpages for further details.
* By registering for this course, you agree that the automated plagiarism check software Turnitin will check all written partial performances submitted by you (via Moodle).
* if you decide *not* to participate in the seminar, please inform the instructor immediately and de-register until the date displayed in this course description! Otherwise you will receive a negative grade.
* See below for possibilities of accreditation.


see above


Suggested readings for open space method
Owen, Harrison. Opening Space for Nichtwissen (The Question). https://openspaceworld.org/wp2/hho/papers/opening-space-question/ [accessed, 12.09.2020]
Owen, Harrison. Expanding Our Now : : The Story of Open Space Technology. San Francisco : Berrett-Koehler, 1997.
Van Woezik, Tamara, Rob Reuzel, and Jur Koksma. "Exploring Open Space: A Self-directed Learning Approach for Higher Education." Cogent Education 6.1 (2019): 22.
Benecke, Dalien Rene, Naudé Malan, Nickey Janse Van Rensburg, Johan Meyer, Zach Simpson, and Suné Von Solms. "Engaged Learning." Projects as Socio-Technical Systems in Engineering Education. 1st ed. Vol. 1. Routledge, 2019. 27-46.

Suggested readings for cognitive science: see related "Introduction to Cognitive Science“ Lecture

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 13.01.2021 14:29