Qualitative Research Methods in the Digital Age
| Title | Ποιοτικές Μέθοδοι Έρευνας στην Ψηφιακή Εποχή / Qualitative Research Methods in the Digital Age |
| Code | ΚΕ0Χ53 |
| Faculty | Social and Economic Sciences |
| School | Political Sciences |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Georgios Chatzichristos |
| Common | Yes |
| Status | Active |
| Course ID | 600020107 |
Programme of Study: PPS Tmīma Politikṓn Epistīmṓn 2023-sīmera
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | Spring | - | 4 |
| Academic Year | 2023 – 2024 |
| Class Period | Spring |
| Instructors from Other Categories | |
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600231411
|
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600231411
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
The course aims at acquainting students with recent contemporary theoretical approaches and methodological orientations developed over the last two decades in academia and, more specifically, in the field of social and political studies. After the completion of the course, students will be able to:
1. Understand advanced methodological investigations.
2. Develop innovative and creative research ideas and approaches focusing on Digital Studies and Qualitative Research.
3. Adequately navigate within the terrains of the Digital Era and digital studies with emphasis on Cybernetics.
4. Use advanced methods developed recently, such as Arts-Based social research, gamification, quality experiments, and digital ethnography.
5. Develop their own methodological orientation and have the ability to apply merged methodological approaches based on contemporary literature and the digital experience.
6. Design research project proposals adopting a critical, reflexive attitude towards their own investigative tools and materials.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Advance free, creative and causative thinking
Course Content (Syllabus)
Computer-Assisted Qualitative Methodology is part of an innovative academic field that has been widely debated since 2003. This academic orientation is associated with the Digital Humanities field. The capabilities of computers combined with the digital skills of new researchers have made the Qualitative methodological way more effective. They encourage students' digital literacy in the social and political sciences. This course enriches the basic Qualitative Research techniques that students have learned within the scope of the introductory course on Qualitative Methodology. As reflected in the title, it aims to focus on the possibilities of the computational processing of data resulting from a qualitative methodological orientation. This way it can bring the social and political field in a dialectical relation with technology and innovative social research. A digital qualitative orientation can be productive in analysing media content (from both traditional and new media). Students can choose the most suitable methodological path and effectively merge more than one orientations in their assignments.
Keywords
qualitative research, digital age
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- Interactive excersises
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.4 | |||
| Reading Assigment | 49 | 1.8 | |||
| Field trips and participation in conferences / seminars / activities | |||||
| Written assigments | 22 | 0.8 | |||
| Total | 110 | 4 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Extended Answer Questions (Summative)
- Written Assignment (Summative)
- Oral Exams (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Τσιώλης, Γιώργος, Μέθοδοι και Τεχνικές Ανάλυσης στην Ποιοτική Κοινωνική Έρευνα, Αθήνα: εκδόσεις Κριτική, 2014.
Πατηνιώτης, Μανώλης (επιμ.), Εισαγωγή στις Ψηφιακές Σπουδές (συλλογή κειμένων), Θεσσαλονίκη, Εκδόσεις Ροπή, 2020
Additional bibliography for study
Negroponte, Nicolas, Being Digital, Hodder and Stoughton, Great Britain, 1995
Heinz von Foerster, Understanding Understanding, Essays on Cybernetics and Cognition, Springer, Urbana, 2003
Manfred Max Bergman - Advances in Mixed Methods Research_ Theories and Applications (2008, SAGE Publications)
Berg-Schlosser, D.; G. De Meur; B. Rihoux and Ch. Ragin (2009), “Qualitative Comparative Analysis as an Approach”, in: Rihoux, Benoit and Charles C. Ragin(eds.), Configurational Comparative Methods, Los Angeles: SAGE, pp. 1 – 18.
Last Update
15-07-2021
