COURSE UNIT TITLE

: FIELD ELC. 6 (MATHEMATICAL MODELING IN PRIMARY SCHOOL)

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SNE 5017 FIELD ELC. 6 (MATHEMATICAL MODELING IN PRIMARY SCHOOL) ELECTIVE 2 0 0 4

Offered By

Elementary Teacher Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR AYSUN NÜKET ELÇI

Offered to

Elementary Teacher Education

Course Objective

In this course, it is aimed for students to have knowledge about mathematical modeling concepts and modeling processes, to work on different modeling problems, to develop their own modeling problems, to learn about in-class modeling applications, to design modeling applications, to examine and evaluate the solution approaches and thinking processes exhibited by students who solve modeling problems through different examples. It is aimed for students to have the knowledge and skills to develop and implement modeling applications in their teaching careers in the light of the information and experiences they gain in the course.

Learning Outcomes of the Course Unit

1   Explain the concept of mathematical modeling and modeling processes.
2   Solve modeling problems.
3   Develop modeling problems.
4   Evaluate students' solutions to modeling problems.
5   Develop modeling applications for in-class and outside-the-class use.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Course introduction, objectives, learning outcomes and evaluation process
2 Mathematical modeling and problem solving
3 Models and modeling process in mathematics teaching
4 Modeling cycle
5 Model development steps
6 Model development principles
7 Implementation of modeling activities in mathematics classes
8 General review, course evaluation, midterm exam
9 Implementation of modeling activities in mathematics classes
10 The role of the teacher in in-class applications
11 Preparing mathematical modeling activities
12 Preparing mathematical modeling activities
13 Monitoring students' mathematical modeling processes
14 Monitoring students' mathematical modeling processes
15 Final exam

Recomended or Required Reading

1.Bukova Güzel, E. (Edt.). (2016). Matematik Öğretiminde Matematiksel Modelleme. Ankara: Pegem Akademi.
2.Bukova Güzel, E., Doğan, M. F., Özaltun Çelik, A. (Edt.). (2016). Matematiksel Modelleme: Teoriden Uygulamaya Bütünsel Bakış. Ankara: Pegem Akademi.
3.Eraslan, A., Şahin, N. (2023). Ilkokul ve Ortaokulda Etkinlik Örnekleriyle Matematiksel Modelleme. Ankara: Pegem Akademi.
4. Dost, Ş., Sezen Yüksel, N., Sağlam Kaya, Y., Urhan, S., Şefik, Ö. (Edt.). (2019). Matematik Eğitiminde Modelleme Etkinlikleri. Ankara: Pegem Akademi.
5.Taşpınar, Ş., Gökçen, S. (Edt.). (2024). Matematik Eğitiminde Matematiksel Modelleme Perspektifleri ve Sınıf Içi Uygulamalar Ankara: Pegem Akademi.
6.Özdemir, A. Ş., Şahal, M. ( 2023). Matematik Eğitiminde Matematiksel Modelleme ve Ortaokul Öğrencileri Için Çözümlü Problemler. Efe Akademi Yayınları.
7.Maaß, J., O Meara, N., Johnson, P., O Donoghue, J. (2020). Öğretmenler için Matematiksel Modelleme Uygulamalı Matematik Eğitimi için Pratik Bir Rehber [Mathematical Modelling for Teachers A Practical Guide to Applicable Mathematics Education] (A.Yıldız, Trans. Ed.). Ankara: Nobel Yayınları.

Planned Learning Activities and Teaching Methods

Lecture, presentation, discussion, question-answer, practice, brain storming, learning and teaching techniques.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Midterm
2 FN Semester final exam
3 BNS BNS Student examVZ * 0.40 + Student examFN * 0.60
4 BUT Make-up note
5 BBN End of make-up grade Student examVZ * 0.40 + Student examBUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of students is measured through midterm and final exams in line with learning outcomes.

Language of Instruction

Turkish

Course Policies and Rules

Attendance is mandatory for 70% of the classes.

Contact Details for the Lecturer(s)

aysunnuket.elci@deu.edu.tr

Office Hours

Monday 13:00-15:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 14 1 14
Preparation for final exam 14 1 14
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 95

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17PO.18PO.19
LO.135
LO.255
LO.3445
LO.4232
LO.5533