SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Methodology of Educational Research I - OKNQ3P014A
Title: Metodologie pedagogického výzkumu I
Guaranteed by: Katedra pedagogiky (41-KPG)
Faculty: Faculty of Education
Actual: from 2021
Semester: winter
E-Credits: 4
Examination process: winter s.:
Hours per week, examination: winter s.:0/0, Ex [HT]
Extent per academic year: 10 [hours]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: combined
Teaching methods: combined
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D.
Teacher(s): prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D.
Co-requisite : OKNQ3P011A
Is co-requisite for: OKNQ3P011A
Is pre-requisite for: OKNQ3P034A, OKNQ3P109B, OKNQ3Q043A, OKNQ3P024A, OKNQ3P106B
Annotation -
Last update: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D. (13.09.2021)
Students are being prepared for conducting their own qualitative and quantitative research in the field of educational sciences. They learn how to work with both qualitative and quantitative data and are being prepared for writing research reports and scientific article related to educational science with the emphasis on the high-quality description of research methodology.
Aim of the course -
Last update: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D. (13.09.2021)

The aim of the course is to prepare students for conducting their own qualitative / quantitative research related a chosen educational topic.

Descriptors - Czech
Last update: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D. (11.09.2023)

očekávaná doba přípravy na přednášky/semináře a doba určená pro studium doporučené literatury: 39 hodin
doba určená pro přípravu seminární práce, průběžných úkolů: 30 hodin
doba očekávané přípravy na zápočet/zkoušku: 23 hodin


Literature - Czech
Last update: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D. (13.09.2021)

Gavora, P. (2010). Úvod do pedagogického výzkumu. Brno: Paido.
Gay, L.R., & Mills, G.E. (2018). Educational Research: Competencies for Analysis and Application. New York: Pearson.
Hendl, J. (2016). Kvalitativní výzkum: základní teorie, metody a aplikace. Praha: Portál.
Hendl, J. (2015). Přehled statistických metod: analýza a metaanalýza dat. Praha: Portál.
Hinkle, D.E., Wiersma, W., & Jurs, S.G. (2003). Applied Statistics for the Behavioral Sciences. Boston : Houghton Mifflin,
Chráska, M. (2016). Metody pedagogického výzkumu. Praha: Grada
Miovský, M. (2006). Kvalitativní přístup a metody v psychologickém výzkumu. Praha: Grada.
Pelikán, J. (2011). Základy empirického výzkumu pedagogických jevů. Praha: Karolinum.
Shults, K.S., Whitney, D.J., & Zickar, M.J. (2014). Measurement Theory in Action: Case Studies and Exercises. New York: Routledge.
Švaříček, R., & Šeďová, K. (2007). Kvalitativní výzkum v pedagogických vědách. Praha: Portál.

Requirements to the exam -
Last update: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D. (13.09.2021)

The final grade consists of the final written test based on the content of the course (60 percent) and an own reserach article related to the educational research (40 procent).

Syllabus -
Last update: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D. (13.09.2021)

1. Description of steps in the process of conductting qualitative / quantitative research.

2. Characteristics of a well-chosen research topic, formulation of research problem. Sources of information in educational research.

3. Qualitative research in education: grounded theory, case study, ethnography, biographical design.

4. Quantiative research in education: questionnaire surveys, achievement tests, types of scales.

5. Types of sample selections, basic methods of selecting the sample in qualitative and quantiative research.

6. Descriptive statistics: measures of location and variablity of the data, correlation coefficient, visualisation of the data.

7. Basics of inferential statistics: t-test, F-test, chi-square test.

8. Presentation of research output: writing a research report and scientific article.

9. Examples of reserach in educational science published in international scientific journals.


 
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