FF:VIKMB40 Research for Effective Educ. - Course Information

VIKMB40 Research for Effective Education

Faculty of Arts
Autumn 2014
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: k (colloquium).
PhDr. Pavla Kovářová, Ph.D. (lecturer)
Mgr. Gabriela Šimková (lecturer)
PhDr. Petr Škyřík, Ph.D.
Division of Information and Library Studies - Department of Czech Literature and Library Studies - Faculty of Arts
Contact Person: Mgr. Marie Hradilová
Supplier department: Division of Information and Library Studies - Department of Czech Literature and Library Studies - Faculty of Arts
Tue 14:10–15:45 Kabinet knihovnictví
Previous completion of VIKMA08 Information behavior is an advantage but not a requirement. Prior knowledge at the level of the course is expected.
Course Enrolment Limitations
The course is offered to students of any study field.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
Course objectives
At the end of this course the student will be able to:
Describe the application of research in various fields of education;
Implement research for the evaluation of trainer / teacher, student and the effectiveness of an educational project in various forms;
Use of software and online tools to research the effectiveness of the educational project and individual educational student activities;
Recognize the risks of research education and to take steps to reduce them;
Visualize and interpret research findings
  • 1. Definitions (evaluation, assessment, LA, EDM), application of research in education, importance of the course content
  • 2. Evaluation of the education system: teacher, student, school, system, incl. science and research evaluation
  • 3. Models of measuring the effectiveness of educational projects: a focus on the most used Kirkpatrick model and differences in traditional and electronic learning; basic types of research in education: Training Needs Analysis (before), action (during) and evaluation (after) research; qualitative and quantitative methods
  • 4. Measurement of reactions: questionnaires (eg. questionnaire of the first impression), content analysis, creative techniques (eg. through visual art activities or associations); tools for research in education: Student Assessment of Learning Gains, Student Opinion Survey of the Learning Process, Learning Effectiveness Survey ...
  • 5. Measurement of education: knowledge tests (pretest / posttest, control group, time delay...), assessing according to the model situations, self-evaluation methods
  • 6. Measurement of behavior: interviews, observations (structured evaluation of employee activities, mystery techniques, development centers), 360-degree feedback (or 180-degree feedback), action plans and real challenges for education
  • 7. Measurement of results: ROI, economic development indicators, analysis of cost reduction, cost-effectiveness, increase sales, accelerate work while maintaining quality ...
  • 8. Evaluation of current methodologies, project / application
  • 9. Learning analytics: defining the approach and topics related to   pedagogical theories of systems supporting LA, interventions based on analysis, personalization and adaptivity in the learning process
  • 10. LA Techniques and Methods: Statistics, BI, web analysis, operations research, artificial intelligence and data mining, social network analysis ...
  • 11. Learning analytics practice (selection): an analysis of entries in   LMS , SW LA (Snapp , LOCO - Analyst , SAM , BEESTAR INSIGHT), Moodle, Elluminate, Blogs, Netvibes, VUE, Hunch, Snappy, Diigo / Delicious, NodelXL, Gephi, ManyEyes, RealTime Sprinter, OECD Factbook, Gapminder, Darwing Awereness Engine, NodeXLPajek, SenseMaker, NetDraw, NVivo, Piwik, Google analytics, Cohere
  • 12. Evaluation of information systems and technology in education
  • 13. Principles of privacy and ethics work in LA, balancing pedagogical approach with identified data visualization (data, networks or learners, conceptual knowledge) and the interpretation of findings
    recommended literature
  • COOPER, Adam. A Brief History of Analytics. CETIS Analytics Series [online]. November 2012, roč. 1, č. 9 [cit. 2013-10-01]. ISSN 2051 - 9214. Dostupné z: http://publications.cetis.ac.uk/wp-content/uploads/2012/12/Analytics-Brief-History-Vol-1-No9.pdf
  • Learning Analytics [online]. November 2012 [cit. 2013-10-01]. ISSN 2221-8378. Dostupné z: http://iite.unesco.org/pics/publications/en/files/3214711.pdf
  • SKUTIL, Martin. Základy pedagogicko-psychologického výzkumu pro studenty učitelství. Vyd. 1. Praha: Portál, 2011, 254 s. ISBN 978-807-3677-787.
  • KILLEDAR, Manoj. Effectiveness of Learning Process Using "Web Technology" in the Distance Learning System. TOJDE. Eskisehir, Turkey: Anadolu University, roč. 9, č. 4. ISSN 1302-6488. Dostupné z: http://tojde.anadolu.edu.tr/tojde32/pdf/article_8.pdf
  • PHILLIPS, Rob, Carmel MCNAUGHT and Gregor KENNEDY. Evaluating e-learning : guiding research and practice. 1st pub. New York: Routledge, 2012. xxviii, 20. ISBN 9780203813362. info
  • GAVORA, Peter. Úvod do pedagogického výzkumu. Translated by Vladimír Jůva - Vendula Hlavatá. 2., rozš. české vyd. Brno: Paido, 2010. 261 s. ISBN 9788073151850. info
  • ŠVEC, Štefan. Metodologie věd o výchově : kvantitativně-scientické a kvalitativně-humanitní přístupy v edukačním výzkumu. Translated by Jana Cacková. České rozš. vyd. Brno: Paido, 2009. 302 s. ISBN 9788073151928. info
  • ŠVAŘÍČEK, Roman and Klára ŠEĎOVÁ. Kvalitativní výzkum v pedagogických vědách. Vydání první. Praha: Portál, 2007. 377 stran. ISBN 9788073673130. info
  • CHRÁSKA, Miroslav. Metody pedagogického výzkumu : základy kvantitativního výzkumu. Vyd. 1. Praha: Grada, 2007. 265 s. ISBN 9788024713694. info
  • PRŮCHA, Jan. Pedagogická evaluace : hodnocení vzdělávacích programů, procesů a výsledků. Vyd. 1. V Brně: Masarykova univerzita, 1996. 166 s. ISBN 8021013338. info
Teaching methods
theoretical training, practical exercise in research methods, individual work in processing evaluation of one course
Assessment methods
attendance (min. 80% participation, combined min. 4 lessons of their choice + required for all students in the term of the presentation of research applications), active participation in seminars and processing of subtasks (min. 10 of 13), realization of research (evaluation of the selected object on the KISK) and its presentation with a discussion
Language of instruction
Further Comments
Study Materials

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