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  • (Non-Thesis) Master of Science (MS) Degree
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  • Learning Analytics and Big Data in Distance Education
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Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Learning Analytics and Big Data in Distance Education UZE580 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
Prerequisites There is no prerequisite or co-requisite for this course.
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 Data, Information, Analysis and Analytics; Big Data: 3V, 5V, 7V; Learning Analytics Components; Learning Analytics Steps; Outcomes of Learning Analytics; Data Visualization and Tools; Using Tableau; Big Data Processing with Tableau; Tableau Applications; Using Tableau in Learning Analytics; Using MS PowerBI; Big Data Processing with MS PowerBI; MS PowerBI Applications; Using MS PowerBI in Learning Analytics.

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