Empirical research for technical and pedagogical disciplines - NPED047
Title: Empirický výzkum pro technické a pedagogické obory
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2021
Semester: winter
E-Credits: 2
Hours per week, examination: winter s.:0/1, MC [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Guarantor: Mgr. Tereza Hannemann, Ph.D.
Teacher(s): Mgr. Tereza Hannemann, Ph.D.
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Annotation -
The course offers students a basic insight into empirical research with human participants (e.g., user testing). The course is suitable especially for students who need to prepare, as part of their thesis, a research tool for data collection, data processing, data interpretation and data presentation.
Last update: Holan Tomáš, RNDr., Ph.D. (14.05.2019)
Course completion requirements -

We emphasize active participation and creating the final presentation, which may be related to the student's own work.

Last update: Holan Tomáš, RNDr., Ph.D. (14.05.2019)
Literature -

Hendl, J. (2015). Přehled statistických metod zpracování dat. Analýza a metaanalýza dat. Praha, Portál.

Hendl, J. (2016). Kvalitativní výzkum. Základní teorie, metody a aplikace. Praha, Portál.

Chambliss, D. F., & Schutt, R. K. (2016). Making sense of the social world: Methods of investigation. Sage Publications.

Last update: Holan Tomáš, RNDr., Ph.D. (14.05.2019)
Syllabus -

Topics:

1. Research field, research questions, hypotheses

2. Specifics of research with human participants

3. How to create and evaluate questionnaire and test

4. How to conduct and evaluate the interview

5. Other research methods (focus group, observation, …)

6. How to present qualitative and qualitative research results?

Seminars:

Creating one's own project; it is assumed/expected that the research topic will be related to with a thesis/work (however, it is possible to participate without it).

  • Presentation of the topic to colleagues (literature review, research objectives, methods of data collection)
  • Evaluation of colleagues' projects
  • Preparation of research tool for the project
  • Pilot of own research tool
  • Final presentation of the research tool

Last update: Holan Tomáš, RNDr., Ph.D. (14.05.2019)