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FACULTY of ENGINEERING / DEPARTMENT of CIVIL ENGINEERING

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FACULTY of ENGINEERING / DEPARTMENT of CIVIL ENGINEERING /
Katalog Ana Sayfa
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ISO5890Meta Analysis in Science Education3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
Department
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-LecturerNone
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
To know the document analysis methods, To acknowledge the difference between meta analysis and literature scanning, To make theme base scanning
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : know the document analysis methods1,5,61,3
PO - 2 : know the difference between meta analysis and literature scanning1,51,3
PO - 3 : scan papers theme based3,5,6,10,13,161,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Meta analysis, literature scanning, difference between literature review and meta analysis, types of meta analysis, data bases and content analyze techniques, necessity of the study, data gathering techniques, data analysis, sampling, executor, timing, findings, conclusion and suggestions
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction of the course and ?ethic? concept
 Week 2Meta-analysis, literature review, difference between meta-analysis and literature review, types of meta-analysis
 Week 3Outlining some sample studies of meta-analysis
 Week 4Searching the following databases; Academic Search Complete, Education Research Complete, Education Resources Information Center: ERIC
 Week 5Searching the following databases; Springer LINK Contemporary, Taylor & Francis Journals
 Week 6Searching the following databases; Wiley InterScience Journals, ScienceDirect Journals
 Week 7Searching the following databases; Wiley InterScience Journals, ScienceDirect Journals
 Week 8Searching the following databases; Cambridge Journals Online, Computers & Applied Sciences Complete, PROQUEST Dissertations and Theses Full Text, Emerald Journals, Oxford Journals Online
 Week 9Mid-term exam
 Week 10Searching the following databases; Canadian Thesis Database, Royal Society of Chemistry, Social Science Research Network, YÖK?s Thesis Database, Google scholar
 Week 11A presentation of both needs of the investigated studies and what studies should be undertaken
 Week 12A presentation of findings of data collection techniques (one developed by the researcher or Standard or a combination of them-- validity and reliability) and data analysis (validity and reliability) in the investigated studies and what studies should be undertaken
 Week 13A presentation of findings of sample (number of the students, their grades and their selection procedure) of the investigated studies and discussing whether there is any unstudied sample group
 Week 14A presentation of findings of who taught the course (the same teacher, researcher or different teachers) and length of treatment in the investigated studies
 Week 15A presentation of findings of the most important findings, conclusion and recommendations in the investigated studies. Handing in the assignment as an article format
 Week 16End-of-term exam
 
Textbook / Material
1Çepni, S. 2007; Araştırma ve proje çalışmalarına giriş. Celepler Matbaacılık, Trabzon
 
Recommended Reading
1İlgili makaleler ve tezler
2 Bayraktar, Ş. (2000). A meta-analysis study on the effectiveness of computer assisted instruction in science education. Published PhD Thesis, Ohio University. UMI Number: 9980398
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 01/04/2019 2 30
Project 12 22/04/2019 1 20
End-of-term exam 15 20/05/2019 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 5 14 70
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 3 8 24
Arasınav 2 1 2
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 5 8 40
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 7 6 42
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load222