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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Open and Distance Learning
  3. Non-Thesis Master’s Degree in Open and Distance Learning
  4. Distance Education Program (Non-Thesis Master's) (Distance Education)
  5. Course Structure Diagram with Credits
  6. Learning Analytics and Big Data in Distance Education
  7. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
UZE580 - Learning Analytics and Big Data in Distance Education II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. MEHMET FIRAT
Mode of Delivery The mode of delivery of this course is face to face education
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Determined by the graduate adviser based on student needs
Recommended Resources Fırat, M. (2021). Uygulamadan Kurama açık ve Uzaktan Öğrenme. Nobel YayıncılıkLang, C., Siemens, G., Wise, A., & Gasevic, D. (Eds.). (2017). Handbook of learning analytics. New York, NY, USA: SOLAR, Society for Learning Analytics and Research.Fırat, M. (2019). Uygulamadan kurama açık ve uzaktan öğrenme. Ankara: Nobel Akademi Yayınları.
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Key Concepts: Data, Information, Analysis and Analytics
Week - 2 Big Data: 3V, 5V, 7V
Week - 3 Learning Analytics Components
Week - 4 Learning Analytics Steps
Week - 5 Outcomes of Learning Analytics
Week - 6 Data Visualization and Tools
Week - 7 Using Tableau
Week - 8 Big Data Processing with Tableau
Week - 9 Using Tableau in Learning Analytics
Week - 10 Web Analytics
Week - 11 Web Analytics Platforms: Google Analytics and Yandex Metrica
Week - 12 Social network analysis
Week - 13 Learning analytics research
Week - 14 Review of open and distance learning researchs on learning analytics and examples

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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