180082 KU Cognitive Science Peer Teaching Course (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
Hinweis der SPL Philosophie:Das Abgeben von ganz oder teilweise von einem KI-tool (z.B. ChatGPT) verfassten Texten als Leistungsnachweis (z.B. Seminararbeit) ist nur dann erlaubt, wenn dies von der Lehrveranstaltungsleitung ausdrücklich als mögliche Arbeitsweise genehmigt wurde. Auch hierbei müssen direkt oder indirekt zitierte Textstellen wie immer klar mit Quellenangabe ausgewiesen werden.Die Lehrveranstaltungsleitung kann zur Überprüfung der Autorenschaft einer abgegebenen schriftlichen Arbeit ein notenrelevantes Gespräch (Plausibilitätsprüfung) vorsehen, das erfolgreich zu absolvieren ist.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 15.09.2023 00:00 bis Fr 29.09.2023 10:00
- Abmeldung bis Di 31.10.2023 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Dates, times & locations:
Thur Sept 28, 2023 | 13.00 - 19h | HS 2i (NIG, Universitätstrasse 7, 2nd floor) | https://goo.gl/maps/zexCfcuDbJJtQjmz7
Introductory/Information Meeting and Teambuilding
This unit is open only to first year (!) MEi:CogSci students! (there will be an extra introduction in the following session for all other students)
Mo Oct 16, 2023 | 13.30-18.00 | HS 2i (NIG, Universitätstrasse 7, 2nd floor, room C0228, III.Stiege)
Cognitive Science Open Space #1 (+ Introductory meeting for non MEi:CogSci [first year] students)
Mo Oct 23, 2023 | 13.30-18.00 | HS 2i (NIG, Universitätstrasse 7, 2nd floor)
Neural Computation and Connectionism (consolidation)
Mo Nov 6, 2023 | 13.30-18.00 | HS 2i (NIG, Universitätstrasse 7, 2nd floor)
Cognitive Science Open Space #2
Mo Nov 13, 2023 | 13.30-18.00 | HS 2i (NIG, Universitätstrasse 7, 3rd floor)
Cognitive Modeling – Kick-off Session
Mo Dec 4, 2023 | 13.30-17.00 | HS 2i (NIG, Universitätstrasse 7, 3rd floor)
Cognitive Modeling – Atelier and Coaching Session
Thu (!) Jan 11, 2024 | 13.30-18.00 | Online (see associated Moodle Course for modalities & links)
Cognitive Modeling – Online Coaching Session
Mo Jan 15, 2024 | 13.30-18.00 | HS 2i (NIG, Universitätstrasse 7, 3rd floor)
Presentation of Cognitive Models & 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/
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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 lose 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!])
- Please collect your personal question(s) (e.g., in a journal) before/between each (open space) session
- Work on cognitive model + presentation + documentation (in your team)
- Semester feedback paper (see related Moodle course for further details; submit before feedback session via Moodle)
Assessment criteria:
55% | (Conceptual) cognitive model (Presentation and documentation) | grading: for each team | for deadline see associated Moodle course
35% | Semester feedback paper (submit prior to feedback session [via Moodle]) | grading: individually | for deadline see associated Moodle course
10% | Active participation in the course%/points | grade
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)
Topics & evaluation criteria of semester feedback paper- Submit this feedback prior to feedback session [via Moodle (see for details and deadlines there)]
- Address the following questions in your feedback:
1. What was one positive experience during this semester?
2. What was one challenge you faced during the semester?
3. How did you deal with that challenge? What would you do differently next time?
4. What is one thing you learned this semester that you want to remember for the future?
5. What could be improved?
6. General remarks (concerning content, administrative, etc.)
Topics and evaluation criteria for basic conceptual cognitive model
Each team has to develop a basic conceptual cognitive model as a first prototype showing the basic architecture, functionalities, and cognitive processes.- You do not have to program anything (unless you want to), but describe the basic ideas and functionalities on “paper”
- Your cognitive model represents a first approximation of these functionalities on a prototype level
- describe the (cogsci) paradigm(s) you are using for realizing your cognitive model
- make your premises explicit concerning:
-- What is cognition/thinking/emotions in your model?
-- What is knowledge, learning, perception, action, etc.?
-- How is your cognitive model embedded in/interacting with the environment?
-- What is the epistemological relationship with the environment,
-- what are open questions and limitations?
- Scientific foundations
- interdisciplinarity, plausibility, and originality
Important notes:
* Take a look at the associated Moodle-Course 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 this course, 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.
- Successful registration and being accepted for this course
- Your presence at the first meeting (otherwise you will lose 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!])
- Please collect your personal question(s) (e.g., in a journal) before/between each (open space) session
- Work on cognitive model + presentation + documentation (in your team)
- Semester feedback paper (see related Moodle course for further details; submit before feedback session via Moodle)
Assessment criteria:
55% | (Conceptual) cognitive model (Presentation and documentation) | grading: for each team | for deadline see associated Moodle course
35% | Semester feedback paper (submit prior to feedback session [via Moodle]) | grading: individually | for deadline see associated Moodle course
10% | Active participation in the course%/points | grade
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)
Topics & evaluation criteria of semester feedback paper- Submit this feedback prior to feedback session [via Moodle (see for details and deadlines there)]
- Address the following questions in your feedback:
1. What was one positive experience during this semester?
2. What was one challenge you faced during the semester?
3. How did you deal with that challenge? What would you do differently next time?
4. What is one thing you learned this semester that you want to remember for the future?
5. What could be improved?
6. General remarks (concerning content, administrative, etc.)
Topics and evaluation criteria for basic conceptual cognitive model
Each team has to develop a basic conceptual cognitive model as a first prototype showing the basic architecture, functionalities, and cognitive processes.- You do not have to program anything (unless you want to), but describe the basic ideas and functionalities on “paper”
- Your cognitive model represents a first approximation of these functionalities on a prototype level
- describe the (cogsci) paradigm(s) you are using for realizing your cognitive model
- make your premises explicit concerning:
-- What is cognition/thinking/emotions in your model?
-- What is knowledge, learning, perception, action, etc.?
-- How is your cognitive model embedded in/interacting with the environment?
-- What is the epistemological relationship with the environment,
-- what are open questions and limitations?
- Scientific foundations
- interdisciplinarity, plausibility, and originality
Important notes:
* Take a look at the associated Moodle-Course 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 this course, 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.
Prüfungsstoff
see above
Literatur
Suggested readings for open space method
Owen, Harrison. Opening Space for Nichtwissen (The Question). https://openspaceworld.org/wp2/hho/papers/opening-space-question/ [accessed, Sept 15, 2022]
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
Further information about cognitive science activities in the Vienna region:
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/
Owen, Harrison. Opening Space for Nichtwissen (The Question). https://openspaceworld.org/wp2/hho/papers/opening-space-question/ [accessed, Sept 15, 2022]
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
Further information about cognitive science activities in the Vienna region:
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/
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 21.03.2024 13:46
1 | Peer-teaching in an open space format
2 | Creating/Developing a cognitive system/model as a conceptual prototype
1 | Peer-teaching in an Open Space format
The guiding questions for this peer-teaching course are:
What is cognition?
What do we know about cognition?
How can we make (responsible) use of these insights?To address these questions, this part of 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.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. Anyone can advance an issue/topic that is of particular interest to him-/herself. This can be any kind of topic or question (on cognitive science), whether complex/simple, general/personal, etc. This creates a large "marketplace of topics" where participants can join together to form topic groups around which students start their discussion.In this peer-interaction/learning/teaching format participants, will also 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.In the final session we will work in an Open Space format on a joint review and feedback of the semester (see below for feedback criteria).
2 | Creating/Developing a cognitive system/model as a conceptual prototype
Students will work in teams and the assignment is to develop a basic (conceptual) cognitive model. The idea is that you will bring to life and operationalize the insights, concepts, and paradigms from the lecture in a basic conceptual cognitive model in light of your background experiences and interests.
By choosing a particular paradigm from cognitive science (or a combination of two), the teams have to develop the basic architecture and functionalities of a cognitive system on a conceptual/prototype level (see below for [evaluation] criteria). The instructor provides coaching for this process. In the final session you will have to present your cognitive system to your colleagues.