| 
  • If you are citizen of an European Union member nation, you may not use this service unless you are at least 16 years old.

  • You already know Dokkio is an AI-powered assistant to organize & manage your digital files & messages. Very soon, Dokkio will support Outlook as well as One Drive. Check it out today!

View
 

2018S-Research Methods 2: Introduction to data collection, analysis, reporting in STEM  Ed research

Page history last edited by Zsolt Lavicza 6 years, 2 months ago

Course Description

 

In the second part of the course we will concentrate on empirical data collection and data analyses. We will cover practical issues of questionnaire, interview, observation designs and their deliveries as well as various methods for analysing collected data. The course will also provide support for academic writing and finalising theses or scientific publications. Sessions will be held on Thursdays at 13:45 - 15:15 for  Bachelor/Masters/PhD students and 15:30-17:00 mainly for PhD students, but open for anyone to attend. In addition, individual appointments with Zsolt Lavicza will be available on Wednesday afternoons and Thursday mornings [appointment sign-up here]. On Friday mornings following the Thursday sessions, we will have additional meetings at 9:00-12:00 in Altenberger Str. 54 to discuss further topics and advanced educational research methods. Everyone participating in the Thursday sessions are welcome to attend the Friday sessions as well. Students away from Linz can participate in the session on https://appear.in/jku-stem.

 

If you need credits for this course, please sign up for them on KUSSS.

 

List of Sessions 

 

Thursdays 13:45-15:15 Bachelor/Masters/PhD - S3 057
Thursdays 15:30-17:00 PhD, open to everyone - S3 057
Fridays 9:00-12:00 PhD, open to everyone - Altenberger st 54 - meeting room

 

  • 1-2 March

  • 8-9 March

  • 22-23 March

  • 5-6 April

  • 19-20 April

  • 3-4 May (Tentative)

  • 17-18 May

  • 7-8 June

  • 14-15 June

 

Planned topics

 

  • Qualitative, quantitative, and mixed methods research
  • Data and sources: Interviews
  • Data sources: Observations
  • Data sources: Survey research
  • Qualitative data analyses
  • Quantitative data analyses
  • Arguing and structuring theses and papers

 

Online participation and streaming

 

https://appear.in/jku-stem

 

 

Further Information

 

Comments (0)

You don't have permission to comment on this page.