Universität Wien

220058 SE SE Research Project B (2025S)

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 10.03. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG
  • Montag 17.03. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG
  • Montag 07.04. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG
  • Montag 28.04. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG
  • Montag 05.05. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG
  • Montag 12.05. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG
  • Montag 02.06. 09:45 - 12:45 Seminarraum 2, Währinger Straße 29 1.UG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

In this seminar, students will learn how to carry out high-quality scientific research on the topic of AI and persuasive outcomes (i.e., the impact of social chatbots on offline relationships, the impact of AI influencers on health/ persuasive outcomes). In the first semester, students will develop their research ideas, identify crucial research gaps in this domain, and investigate the current state-of-the-art. They will develop their research ideas, hypotheses/ research questions, and their measurement instruments. Throughout this semester, the student will present their ideas and design in class, attend individual feedback and mentoring sessions with the lecturers, and write a scientific paper.

To enroll in this course, a high level of motivation to commit to a high-quality scientific study is required.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Final paper (70%)
Presentation (15%)
Active Participation (15%)

Mindestanforderungen und Beurteilungsmaßstab

(1) Develop research idea, identify relevant research gaps and formulate research problem
(2) Formulate appropriate theoretical framework
(3) Define Research Questions and/ or Hypotheses
(4) Develop the Research Instrument (e.g., stimuli materials, topic list)
(5) Present intermediary steps in class
(6) Contribute to class discussions and feedback
(7) Paper and Presentations
(8) Attendance

1 (Very Good): 87 - 100%
2 (Good): 75 - 86,99%
3 (Satisfactory): 63 - 74,99%
4 (Sufficient): 50 - 62,99%
5 (Not Sufficient): 0 - 49,99%

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Please be mindful that, due to our internal regulations, for a positive evaluation in any course within the Master's program in Communication Science, students must first be officially admitted to this study program. Therefore, students from other study programs or Erasmus students cannot receive a positive evaluation in these courses.

Prüfungsstoff

Literatur

The reading list will be announced in class.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 13.02.2025 13:06