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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS FMM 6058 GROUNDED THEORY APPLICATIONS IN MATHEMATICS EDUCATION ELECTIVE 3 0 0 10

Offered By

Mathematics Teacher Education

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR ESRA BUKOVA GÜZEL

Offered to

Mathematics Teacher Education

Course Objective

It is aimed to educate students about subjects such as nature of science, structure of scientific research, theoretical base of grounded theory, basic concepts, research techniques, stages of research, data collection, data analysis.

Learning Outcomes of the Course Unit

1   To be able to explain the foundations of scientific research, types, and scientific research process. 2   To be able to explain of the basic features of qualitative research, the basic properties of the grounded theory, the theoretical backgrounds. To show differences between other research methods and grounded theory 3   To explain data collection methods and sample selection statement in qualitative research and grouned theory 4   To be able to explain data analysis in qualitative research, to be able to explain data analysis in grounded theory, knowing how to coding, comprehend the relationship between coding, constant comparative analysis, note-taking abstraction and comparison, the theoretical maturity, theoretical sampling, theoretical sensitivity of the process 5   Acquisition and development of skills in conducting scientific research and theory building

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 What is science What is social science Assumptions and historical development of science and nature, what is the scientific method Description and explanation 2 Theory and basic properties 3 What is grounded theory Theory is embedded in the historical process, the fundamentals and characteristics, 4 Different approaches in the grounded theory (Strauss & Corbin, 1990; Charmaz, 2006) 5 Data collection methods and sample selection in grounded theory (Examination of an article on Mathematics Education) 6 Fundamentals and basics of grounded theory analysis of qualitative data analysis 7 Grounded theory analysis of the coding (open, axial and selective) (Examination of an article on Mathematics Education) 8 Midterm exam. 9 Note-taking, abstraction, and comparison of grounded theory analysis (Examination of an article on Mathematics Education) 10 Theoretical maturity, theoretical sampling, theoretical sensitivity of grounded theory analysis (Examination of an article on Mathematics Education) 11 Investigation of articles based on grounded theory related to mathematics education 12 Investigation of articles based on grounded theory related to mathematics education 13 Designing and critical discussions of a research in mathematics education related to grounded theory 14 Designing and critical discussions of a research in mathematics education related to grounded theory 15 Final Exam

Recomended or Required Reading

Büyüköztürk, Ş., Kılıç-Çakmak, E., Erkan, Ö., Karadeniz, Ş. Ve Demirel, F. (2009). Bilimsel Araştırma Yöntemleri. Ankara: Pegem Akademi. Punch,K.F. (2005). Sosyal Araştırmalara Giriş Nicel ve Nitel Yaklaşımlar. Çeviri: Bayrak, D., Arslan, H.B., Akyüz, Z., Siyasal Kitabevi, Ankara.

Planned Learning Activities and Teaching Methods

Lecture, discussion, question-answer, problem solving, active learning techniques, group work

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTEG MIDTERM GRADE 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE 4 FCG FINAL COURSE GRADE MTEG * 0.30 +ASG* 0.10 + FCG* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE MTEG * 0.30 + ASG * 0.10 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

esra.bukova@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Theoritical 13 3 39 Midterm Preparation 7 1 7 Final Preparation 7 1 7 Pre Class Self Study 13 10 130 Paper Preparation 13 2 26 Research Presentation 13 2 26 Midterm Exam 1 2 2 Final Exam 1 2 2 TOTAL WORKLOAD (hours) 239

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 LO.1 5 5 3 3 3 5 5 5 5 5 LO.2 5 5 3 5 5 5 5 5 5 5 5 5 LO.3 5 5 3 5 3 LO.4 3 5 5 5 5 3 5 2 3 5 5 5 5 LO.5 5 5 5 5 5 5 3 4 5 5 5 3 5 3