COURSE UNIT TITLE

: TECHNOLOGY SUPPORTED QUALITATIVE DATA ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BTÖ 5016 TECHNOLOGY SUPPORTED QUALITATIVE DATA ANALYSIS ELECTIVE 3 0 0 6

Offered By

Computer Education and Instructional Technology

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ERCAN AKPINAR

Offered to

Computer Education and Instructional Technology

Course Objective

the aim of this course is to give basic information regarding the most common used qualitative research methods and its applications in education. In addition to that, the course also aimed for each student to develop a proposal of qualitative research that illustrates a variety of research approach. Moreover, it is also aimed to use ATLAS.ti as a qualitative data analysis tool when analyzing different types of qualitative data.

Learning Outcomes of the Course Unit

1   Explain the research process.
2   Know the qualitative research methods
3   Clarifying research approach
4   Using the Standards for evaluating qualitative research
5   Conduct qualitative data analysis with the qualitative data analysis programs
6   Develop a research proposal
7   Evaluate the proposal and report the final report.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Qualitative research and the importance of qualitative methods in education
3 Qualitative research approaches
4 Qualitative research approaches
5 Qualitative Research Proposal; define research modal
6 Qualitative Research Proposal; introduction
7 Qualitative Research Proposal; literature review
8 Midterm exam
9 Qualitative Research Proposal; method (introduction to qualitative research and the importance of it)
10 Qualitative Research Proposal; method (participants and data collection tools)
11 Qualitative Research Proposal; method (data analysis with ATALS.ti, Trustworthiness)
12 Qualitative Research Proposal; finding and discussion
13 Qualitative Research Proposal; conclusion and recommendations
14 Presentation of the proposals
15 Final

Recomended or Required Reading

Yildirim, Ali ve Hasan Şimşek. (2000). Sosyal Bilimlerde Nitel Araştirma Yontemleri,Ankara: Seçkin Yay.
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Baş, T., Akturan U. Nitel araştirma yontemleri.Sec;kin Yayincilik, Ankara.
Berg, Bruce L.(2001). Qualitative Research Methods for the Social Sciences, USA: Allyn and Bacon.
Karasar, N. (2007). Bilimsel Araştirma Yontemi. Nobel Yayinevi, Ankara Karasar, N. (2007). Araştirmalarda Rapor Hazirlama. Nobel Yayinevi, Ankara.
Biyikoztirk, Ş. (2007). Sosyal Bilimler Ic;in Veri Analizi El Kitabi. Pegem Akademi Yayinevi, Ankara
arin Weinberg (Ed.). (2002). Qualitative Research Methods, U.S.A: Blackwell Publishers.

Planned Learning Activities and Teaching Methods

Face to face, discussion, group working, project development

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

LO1, LO2, LO3, LO4, LO5, LO6 and LO7 will be evaluated by an assignment and a research proposal.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Asis.Prof. r. Kirşat ARSLAN okuz Eylul University
Faculty of Education
epartment of Computer Education and Instructional Technology 35160 Buca/Izmir/ TURKEY
kursata@gmail.com

Office Hours

Friday 13.00-15.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 26 4 104
Preparations before/after weekly lectures 1 6 6
Preparation for final exam 1 6 6
Project Preparation 1 6 6
Final 1 10 10
Project Assignment 1 30 30
TOTAL WORKLOAD (hours) 162

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.1245
LO.2345
LO.345
LO.445
LO.545
LO.645
LO.745

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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