• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IME 5034 QUALITATIVE RESEARCH IN MATHEMATICS EDUCATION ELECTIVE 3 0 0 8

Offered By

Primary Mathematics Teacher Education

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR BERNA CANTÜRK GÜNHAN

Offered to

Primary Mathematics Teacher Education

Course Objective

The purpose of this course, graduate students, and various methods of qualitative research on the basic features of a conceptual basis, the examples given in various studies to understand the process of qualitative research is to make the complex. We also inform students about computer-assisted qualitative data analysis.

Learning Outcomes of the Course Unit

1   Understand the basic characteristics of qualitative research 2   Distinguish types of qualitative research. 3   Understand the processes of qualitative data analysis. 4   Understand the processes of the analysis of qualitative data in different joint 5   Understand the steps of computer-assisted qualitative data analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Qualitative research and the basic features 2 Key features of qualitative research 3 Types of qualitative research 4 Types of qualitative research 5 Types of qualitative research 6 Survey of types of qualitative research is applied 7 Survey of types of qualitative research is applied 8 Midterm Exam 9 Survey of types of qualitative research is applied 10 Qualitative data analysis processes 11 Qualitative data analysis processes 12 Computer-assisted qualitative data analysis 13 Computer-assisted qualitative data analysis 14 Computer-assisted qualitative data analysis 15 Computer-assisted qualitative data analysis 16 Final Exam

Recomended or Required Reading

Hasan Şimşek ve Ali Yıldırım, Sosyal Bilimlerde Nitel Araştırma Yöntemleri. Seçkin Yayıncılık. Elif Kuş Nicel-Nitel Araştırma Teknikleri Anı Yayıncılık

Planned Learning Activities and Teaching Methods

lecture, discussion, question-answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTEG MIDTERM GRADE 2 FCG FINAL COURSE GRADE 3 FCG FINAL COURSE GRADE MTEG * 0.40 + FCG * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + 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)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Theoretical 14 3 42 Pre Class Self Study 14 10 140 Midterm Preparation 1 10 10 Final Preparation 1 10 10 Final Exam 1 2 2 Midterm Exam 1 2 2 TOTAL WORKLOAD (hours) 206

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 PO.15 LO.1 3 3 3 3 3 3 5 LO.2 4 4 4 4 4 3 LO.3 3 3 3 3 3 3 3 LO.4 4 4 4 4 4 4 LO.5 4 4 4 4 4 4