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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 Mathematic Education
  3. Non-Thesis Master’s Degree in Mathematics Education (Distance Education)
  4. Course Structure Diagram with Credits
  5. Teaching Statistics and Probability
  6. 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
İST552 - Teaching Statistics and Probability I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ AYŞEGÜL ERYILMAZ ÇEVİRGEN
Mode of Delivery This course will be given online.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources Akkoç, H. & Yeşildere İmre, S. (2015). Teknolojik Pedagojik Alan Bilgisi Temelli Olasılık ve İstatistik Öğretimi. Pegem Akademi Yayınları.Altun, M. (2013). İlkokullarda (1., 2., 3. ve 4. Sınıflarda) Matematik Öğretimi. Alfa Aktüel Yayınları (ISBN: 9789752532229)Altun, M. (2015). Ortaokullarda (5., 6., 7. ve 8. Sınıflarda) Matematik Öğretimi. Alfa Aktüel Yayınları (ISBN: 9789752532540)Altun, M. (2022). Olasılık ve İstatistik Öğretimi.APA. (2010). Publication Manual of the American Psychological Association, Sixth Edition. American Psychological Association.Baltacı, S. & Bütüner, S. Ö. (2021). Etkinlik temelli olasılık ve istatistik öğretimi. Nobel Yayınevi.Batanero, C., Burrill, G. & Reading, C. Teaching Statistics in school mathematics-challenges for teaching and teacher education. Springer. Batanero, C., Garfield, J., Ottaviani, M. G., & Truran, J. (2000, May). Research in statistical education: Some priority questions. Statistical Education Research Newsletter, 1(2), 2–6. Retrieved December 3, 2006, from http://www.stat.auckland.ac.nz/~iase/serj/newsmay00.pdfBen-Zvi, D. & Makar, K. The teaching and Learnind of Statistics. Springer. Ben-Zvi, D., & Garfield, J. (2004). The challenge of developing statistical literacy, reasoning, and thinking. Dordrecht, the Netherlands: Kluwer Academic Publishers.Dani Ben-Zvi, Koeno Gravemeijer, Janet Ainley. Design of statistics learning environments. Eleventh Congress of the European Society for Research in Mathematics Education (CERME11), Utrecht Uni- versity, Feb 2019, Utrecht, Netherlands. hal-02410840 Güven, B., Özmen, Z. M., Gürbüz, R. &Akkan;, Y. (2023) Teoriden Pratiğe Olasılık ve İstatistik Öğretimi. Vizetek Yayıncılık. Joliffe, F. (1998). What is research in statistics education? In L. Pereira-Mendoza (Ed.), Proceedings of the fifth international conference on teaching statistics (pp. 801–806). Singapore: International Statistical Institute. Retrieved April 20, 2008, from http://www.stat.auckland.ac.nz/~iase/publications/2/Topic6x.pdfJones, G. A., & Thornton, C. A. (2005). An overview of research into the teaching and learning of probability. In G. A. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning, (pp. 65–92). New York: Springer.Lajoie, S. P. (1998). Reflections on statistics: Learning, teaching, and assessment in grades K-12 (studies in mathematical thinking and learning series). Mahwah, NJ: Lawrence Erlbaum Associates.Lovett, M. C., & Shah, P. (Eds.) (2007). Thinking with data (Carnegie Mellon Symposia on Cognition Series). Mahwah, NJ: Lawrence Erlbaum Associates.Shaughnessy, J. M. (2007). Research on statistics learning and reasoning. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 957–1010). Information Age Pub Inc.Van De Walle, J. A., Karp, K. S., & Bay-Williams J. M. (2014). İlkokul ve Ortaokul Matematiği Gelişimsel Yaklaşımla Öğretim. Nobel Yayınevi.
Work Placement NA
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Historical Development of Probability and Statistics
Week - 2 The Importance of Learning Probability and Statistics
Week - 3 Statistics and Probability as a Learning Area
Week - 4 Statistics and Probability in Mathematics Curriculum of Different Countries
Week - 5 Basic Concepts in Statistics: Research question, Types of data representation, Descriptive statistics, Inferential statistics
Week - 6 Basic Concepts in Statistics: Research question, Types of data representation, Descriptive statistics, Inferential statistics
Week - 7 Components and Development of Statistical Thinking
Week - 8 Student Difficulties and Misconceptions in Learning Statistics.
Week - 9 Student Difficulties and Misconceptions in Learning Statistics
Week - 10 Basic Concepts in Probability: Probability, Experiment, Sample Space, Event, Simple Event, Compound Event, Conditional Probability
Week - 11 Basic Concepts in Probability: Probability, Experiment, Sample Space, Event, Simple Event, Compound Event, Conditional Probability
Week - 12 Components and Development of Probabilistic Thinking
Week - 13 Student Difficulties and Misconceptions in Learning Probability.
Week - 14 Student Difficulties and Misconceptions in Learning Probability.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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