Universität Wien

220058 SE SE Research Project B (2025S)

Continuous assessment of course work

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).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

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

Minimum requirements and assessment criteria

(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.

Examination topics

Reading list

The reading list will be announced in class.

Association in the course directory

Last modified: Th 13.02.2025 13:06