240540 SE MM7 Research Design Workshop (2024S)
Continuous assessment of course work
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Summary
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).
- Registration is open from Th 01.02.2024 00:01 to Mo 26.02.2024 23:59
- Deregistration possible until Mo 18.03.2024 23:59
Registration information is available for each group.
Groups
Group 1
Participation at first session is obligatory!The lecturer can invite students to a grade-relevant discussion about partial achievements. Partial achievements that are obtained by fraud or plagiarized result in the non-evaluation of the course (entry 'X' in certificate). The plagiarism software 'Turnitin' will be used.
The use of AI tools (e.g. ChatGPT) for the attainment of partial achievements is only allowed if explicitly requested by the course instructor.
The use of AI tools (e.g. ChatGPT) for the attainment of partial achievements is only allowed if explicitly requested by the course instructor.
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
UPDATE 22.03.2024: Attention: Change of the last unit:
UPDATE 19.04.2024: Change of dates
Thursday
21.03.
08:00 - 11:15
Übungsraum (A414) NIG 4. Stock
Monday
08.04.
08:00 - 11:15
Hörsaal C, NIG 4. Stock
Monday
29.04.
08:00 - 11:15
Seminarraum A, NIG 4. Stock
Thursday
02.05.
13:15 - 16:30
Hörsaal C, NIG 4. Stock
N
Friday
24.05.
13:15 - 16:30
Hörsaal C, NIG 4. Stock
Wednesday
26.06.
13:15 - 16:30
Sitzungs-/Prüfungszimmer, NIG 4. Stock
Aims, contents and method of the course
Assessment and permitted materials
Your grade will be determined by the following elements:
The initial analysis of the MA data 40% (or 40 points max)
Presentation of initial organization of the data 20% (or 20 points max)
Commentary on peers’ work 20% (or 20 points max)
Presentation of anticipated results 20% (or 20 points max)For the completion of the written task every means can be used with the exception of Artificial Intelligence tools such as CHatGPT.
The initial analysis of the MA data 40% (or 40 points max)
Presentation of initial organization of the data 20% (or 20 points max)
Commentary on peers’ work 20% (or 20 points max)
Presentation of anticipated results 20% (or 20 points max)For the completion of the written task every means can be used with the exception of Artificial Intelligence tools such as CHatGPT.
Minimum requirements and assessment criteria
Requirements:
1) Regular attendance and active participation
2) Development and presentation of the tasks related to their own project
3) Commenting on other participants' research project
4) Draft of their pre-poposal of their MA research
To pass the course students must reach at least 60 points with all components being completed in a positive way.
91-100 points: 1 (excellent)
81-90 points: 2 (good)
71-80 points: 3 (satisfactory)
60-70 points: 4 (sufficient)Written assignments will be evaluated according to the following criteria:
-language and style (spelling and grammar)
-use of literature (choice of relevant readings, accuracy of citations and arguments)
-organisation of the arguments
-critical thinking and originality
-reflexivity
1) Regular attendance and active participation
2) Development and presentation of the tasks related to their own project
3) Commenting on other participants' research project
4) Draft of their pre-poposal of their MA research
To pass the course students must reach at least 60 points with all components being completed in a positive way.
91-100 points: 1 (excellent)
81-90 points: 2 (good)
71-80 points: 3 (satisfactory)
60-70 points: 4 (sufficient)Written assignments will be evaluated according to the following criteria:
-language and style (spelling and grammar)
-use of literature (choice of relevant readings, accuracy of citations and arguments)
-organisation of the arguments
-critical thinking and originality
-reflexivity
Examination topics
Students work mainly with their own data from their previous fieldwork. In addition, critical discussions of your peers’ assignments are a necessary ingredient for successful completion of the course.
Reading list
Hammersley, Martyn and Paul Atkinson (1983) The Process of Analysis. In: Hammersley and Atkinson, Ethnography: Principles and Practice. London: Routledge
Emerson, R.M., R. I Fretz, and L. L. Shaw (2001 [1995]) Ethnographic Fieldnotes. Ch 1, pp: 1-21.
Flick, Uwe (2009) An Introduction to Qualitative Research, pp: 147-210 (verbal data). 4th ed. Londonn: Sage.
Emerson, R.M., R. I Fretz, and L. L. Shaw (2001 [1995]) Ethnographic Fieldnotes. Ch 1, pp: 1-21.
Flick, Uwe (2009) An Introduction to Qualitative Research, pp: 147-210 (verbal data). 4th ed. Londonn: Sage.
Group 2
Anwesenheitspflicht in der ersten Einheit!Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Plagiierte oder erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis). Es kommt die Plagiatssoftware Turnitin zum Einsatz.Die Verwendung von KI-Tools (z. B. ChatGPT) zur Erbringung von Teilleistungen ist nur dann erlaubt, wenn dies von der Lehrveranstaltungsleitung ausdrücklich gefordert wird.
Plagiierte oder erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis). Es kommt die Plagiatssoftware Turnitin zum Einsatz.Die Verwendung von KI-Tools (z. B. ChatGPT) zur Erbringung von Teilleistungen ist nur dann erlaubt, wenn dies von der Lehrveranstaltungsleitung ausdrücklich gefordert wird.
max. 25 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Monday
04.03.
11:30 - 14:45
Seminarraum A, NIG 4. Stock
Monday
18.03.
11:30 - 14:45
Seminarraum A, NIG 4. Stock
Monday
15.04.
11:30 - 14:45
Seminarraum A, NIG 4. Stock
Monday
06.05.
11:30 - 14:45
Seminarraum D, NIG 4. Stock
N
Monday
27.05.
11:30 - 14:45
Übungsraum (A414) NIG 4. Stock
Monday
17.06.
11:30 - 14:45
Seminarraum A, NIG 4. Stock
Aims, contents and method of the course
The main goal of the seminar is for each student to develop the research design for their MA-thesis. Students should have an idea what they want to work on but they should not yet have conducted their MA fieldwork (in individual cases, this may be acceptable).
In five steps, students will be led to develop research questions, select the appropriate literature and theoretical perspectives, as well as methods, and to envision possible results, before completing their research proposals.
There will be written assignments every time, which need to be presented in plenary or peer-group discussions. Critical discussions of your peers’ assignments are a necessary ingredient for successful completion.
In five steps, students will be led to develop research questions, select the appropriate literature and theoretical perspectives, as well as methods, and to envision possible results, before completing their research proposals.
There will be written assignments every time, which need to be presented in plenary or peer-group discussions. Critical discussions of your peers’ assignments are a necessary ingredient for successful completion.
Assessment and permitted materials
Your grade will be determined by the following elements:
MA Research Proposal 50% (or 50 points)
Presentation of Research Question 10% (or 10 points)
Presentation of Literature Research 10% (or 10 points)
Presentation of Methods 10% (or 10 points)
Presentation of anticipated results 10% (or 10 points)
Participation 10% (or 10 points)
MA Research Proposal 50% (or 50 points)
Presentation of Research Question 10% (or 10 points)
Presentation of Literature Research 10% (or 10 points)
Presentation of Methods 10% (or 10 points)
Presentation of anticipated results 10% (or 10 points)
Participation 10% (or 10 points)
Minimum requirements and assessment criteria
In order to receive a passing grade, you need at least 60 points. A 'sehr gut' requires at least 90 out of 100 points (a 'gut' at least 80 points, etc.). Attendance is required throughout the semester.
Examination topics
There will be no exams.
Reading list
Depends mostly on your research interests.
Association in the course directory
Last modified: Fr 19.04.2024 10:46
The main goal of the seminar is to accompany each student who has already conducted fieldwork in organizing their fieldwork material and the in initial process of its analysis for their MA thesis. The course will focus on the initial stages of the research design of their thesis. If needed, the students will be assisted to reframe their initial research question and their theoretical framework in light of their data analysis. The students will submit assignments to be discussed in class and in peer-group discussions. Additionally, the students will be asked to provide critical commentary to their peers’ assignments. Critical discusssions of your peers' assignments are a necessary ingredient for successful completion.
Learning Outcomes: At the end of the course, the students are expected to have learned and reflected on the process of analysis and particularly coding as well as the issues related to ethics, especially in dealing with the collected data.
Structure: This class will be based on hands on tasks related to the process of analysis and the bottlenecks of starting the analysis after fieldwork. Classes will start with a short lecture and the presentation as well as the discussion of the assigned readings. The second half of the class will be based on the discussion of the student tasks in terms of the organization and analysis of their data.