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  • Graduate School
  • Department of Technology Integration ın Education
  • Department of Technology Integration ın Education
  • Distance Education Program in Instructional Tech.
  • Course Structure Diagram with Credits
  • Learning Analytics
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Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Learning Analytics ETE530 II. SEMESTER 3+0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. MEHMET FIRAT
Mode of Delivery Distance education
Prerequisites This course has no prerequisites or co-requisites
Courses Recomended Determined by the graduate adviser based on student needs
Recommended Reading List Fırat, M. (2021). Uygulamadan Kurama açık ve Uzaktan Öğrenme. Nobel YayıncılıkFırat, M. (2015). Eğitim Teknolojileri Araştırmalarında Yeni Bir Alan: Öğrenme Analitikleri. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 2015; 11(3): 870-882. DOI: 10.17860/efd.24150, 29/12/2015SoLAR, (2021). What is Learning Analytics? https://www.solaresearch.org/about/what-is-learning-analytics Learning Analytics 2018 - An updated perspective (https://www.iadlearning.com/learning-analytics-2018/), Handbook of Learning Analytics (https://solaresearch.org/hla-17/).
Assessment methods and criteria Evaluation components include a midterm and a final.
Work Placement N/A
Catalog Content Basic concepts of learning analytics; Purposes and stakeholders of learning analytics; Stages of learning analytics; Digital footprints of students; Big data in learning analytics; Processing big data for learning analytics; Educational data mining; Data visualization in learning analytics; Data visualization tools; Tableau Public; Tableau Public examples; Dashboards based on learning analytics; Dashboards in LMSs; Algorithms in learning analytics

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