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Objectives and competences

The objectives of this course are: • to enable the students for autonomous finding of pedagogical research problems and defining their content and methodology (research hypotheses, methods, samples, approaches to collecting and analysing the data), • to enable the students for correct usage and autonomous construction of structured and semi-structured instruments for the data collection, • to enable the students for selecting and using appropriate approaches of qualitative and quantitative data analysing and interpretation (descriptive, explicative) of what the results imply in theory and practice, • to enable the students for carrying out, in a team or individually, complex empirical qualitative and quantitative research in respect to its content and methodology, • to enable the students for high quality and ethical responsible research and publishing, • študente usposobiti za kakovostno in etično raziskovanje in objavljanje, • to enable the students for autonomous writing research reports, professional, and scientific papers. The student will be qualified for • independently carrying out of complex empirical pedagogical research in respect to its content and methodology, • participation in a research team, and carrying out of complex empirical pedagogical research, • use of SPSS and NVivo data analysis software programs, writing research reports, professional and scientific articles.

Content (Syllabus outline)

• Characteristics of qualitative versus quantitative and mixed methods research in pedagogical science and profession. • Types of mostly qualitative pedagogical research (study case, action research, narrative, interpretative, phenomenological, and ethnographic studies, grounded theory). • Phases of qualitative and quantitative research (I-introduction, M-methods, R-results, D-discussion). • Population and sample of participants, sampling methods. • Mostly qualitative approaches of collecting the data (participant or non-participant observation, informal or semi-structured interview, focus group, social networks). • Methods of qualitative data analysi (content - document analysis, qualitative content analysis/ thematic analysis, grounded theory). • Mostly quantitative approaches of collecting the data (survey, knowledge testing, scaling, attitude measurement, structured observation with check list, pedagogical experiment). • Statistical methods for the analysis of nominal and ordinal variables (frequency distributions, chi-square test hypothesis about independence and hypothesis of equal probability, measures of contingency). • Statistical methods for the analysis of differences with parametric tests (t-test, one – way and two - way analysis of variance, analysis of covariance). Statistical methods for the analysis of differences with non-parametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, and Binominal test). • Statistical methods for the analysis of relationships between variables (bivariate – Spearman's and Pearson's correlations, multiple correlation, linear regression analysis). • Computer analysis of the quantitative data by means of SPSS statistical programme. • Computer analysis of the qualitative data by means of NVivo software programme. • Assessing research quality (validity, reliability, objectivity), and ethical aspects of research. Writing research reports, technical and scientific papers. Use of scientific framework.

Learning and teaching methods

• higher education lectures, • tutorial, • lab work, • research work, didactical use of informational and communication technology.

Intended learning outcomes - knowledge and understanding

On completion of this course, the student will be able to • differentiate between general characteristics of qualitative and quantitative research, • select appropriate research design in respect of the research aims, • interpret qualitative (qualitative content analysis/ thematic analysis, grounded theory) and quantitative approaches (descriptive, inferential statistics) of data analysing , • assessing validity and reliability in pedagogical research, • use SPSS statistical programme for data analysis, use NVivo qualitative data analysis software.

Readings

• Nind, M., Curtin, A., & Hall, K. (2016). Research Methods for Pedagogy. Bloomsbury: Bloomsbury Academic. • Čagran, B. (2004). Univariatna in multivariatna analiza podatkov: zbirka primerov uporabe statističnih metod s SPSS. Maribor: Pedagoška fakulteta. • Sagadin, J. (2003). Statistične metode za pedagoge. Maribor: Obzorja. • Vogrinc, J. (2008). Kvalitativno raziskovanje na pedagoškem področju. Ljubljana: Pedagoška fakulteta. • Adam, F., Hlebec, V., Kavčič, M., Lamut, U., Mrzel, M., Podmenik, D., Poplas Susič, T., Rotar Pavlič, D., & Švab, I. (2012). Kvalitativno raziskovanje v interdisciplinarni perspektivi. Ljubljana: Inštitut za razvojne in strateške analize.

Prerequisits

None.

  • izr. prof. dr. JOCA ZURC

  • Pisni izpit: 60
  • Seminarska naloga: 30
  • Sodelovanje na vajah: 10

  • : 30
  • : 30
  • : 120

  • Slovenian
  • Slovenian

  • PEDAGOGIKA (PEDAGOGIKA) - 1.
  • PEDAGOGIKA (PEDAGOGIKA) - 1.