Data Processing and Probability Teaching
Elementary Mathematics Education
Faculty of Education
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Data Processing and Probability Teaching | IMO304 | Compulsory | Bachelor's degree | 3 | Spring | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Yasemin KATRANCI
Associate Prof. Dr. Yusuf KOÇ
Learning Outcomes of the Course Unit
1) To know basic concepts of probability,
2) Types of probability, probability simulations and probability distributions
3) Teaching data collection, organizing, displaying and analyzing data, distribution concept, frequency distributions, central tendency measures and distribution measures (organizing course content-using appropriate teaching materials and strategies);
4) Knowledge of students about these topics (understanding, interpreting students' thoughts about concepts, knowing the difficulties, mistakes, misconceptions and reasons of students)
5) Relate these subjects with daily life and other subjects
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | High | High | High | High | Low | High | High | High | Middle | High | Low | High | High | |
| 2 | High | High | High | High | Low | High | High | High | Middle | High | Low | High | High | |
| 3 | High | High | High | High | Low | High | High | High | Middle | High | Low | High | High | |
| 4 | High | High | High | High | Low | High | High | High | Middle | High | Low | High | High | |
| 5 | High | High | High | High | Low | High | High | High | Middle | High | Low | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Teaching Numbers
Course Contents
Basic concepts of probability, types of probability, probability simulations and probability distributions; teaching data collection, organizing, displaying and analyzing data, the concept of distribution, frequency distributions, measures of central tendency and measures of distribution (organizing course content-using appropriate teaching materials and strategies); student knowledge of these issues (understanding, interpreting students 'thoughts on concepts, knowing students' difficulties, errors, misconceptions and their reasons); the relationship between these subjects and daily life.
Weekly Schedule
1) Basic Concepts about Probability2) Types of Probability
3) Probability Simulations and Probability Distributions
4) Data Collecting, Organizing the Data, Representing and Analyzing the Data
5) Distribution Concept, Frequency Distributions, Teaching Central Tendency and Distribution Measures
6) Students' Knowledge about related Concepts
7) Student Difficulties, Mistakes, and Misunderstood about Probability / Exploring the reasons (Article Review)
8) MIDTERM
9) Students Difficulties, Mistakes, and Misunderstood about Statistics/ Exploring the reasons (Article Review)
10) Investigation of Data Processing Learning Area in Elementary School Mathematics Curriculum/ Application Examples
11) Investigation of Data Processing Learning Area in Secondary School Mathematics Curriculum/ Application Examples
12) Teaching Probability (Article Review)
13) Teaching Statistics (Article Review)
14) The Relation between Probability/Statistics with daily life and other disciplines
15) Review
16) Midterm Exam
Recommended or Required Reading
1- Akkoç, H., & Yeşildere-İmre, S. (2015). Teknolojik pedagojik alan bilgisi temelli olasılık ve istatistik öğretimi. Ankara: Pegem Akademi. Baykul, Y. (2005). Ortaokulda matematik öğretimi. Ankara: Pegem Akademi.MEB (2018), 1-8. Sınıflar Matematik Öğretim ProgramıVan De Walle, J. (2012). İlkokul ve ortaokul matematiği (S.Durmuş, Çev. Edi.). Ankara: Nobel Yayıncılık.
2- Baltacı, S., & Bütüner, S. Ö. (Eds.) (2023). Etkinlik temelli olasılık ve istatistik öğretimi. Ankara: Nobel Yayıncılık.
3- Güven, B., Özmen, Z. M., Gürbüz, R. (Eds.) (2022). Teoriden pratiğe olasılık ve istatistik öğretimi. Ankara: Vizetek Yayıncılık.
4- Altun, M. (2022). Olasılık ve istatistik öğretimi. Bursa: Aktüel Yayıncılık.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Modelling
7) Group Study
8) Simulation
9) Brain Storming
10) Case Study
11) Lab / Workshop
12) Self Study
13) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required