COURSE UNIT TITLE

: FIELD ELC. 7 (ARTIFICIAL INTELLIGENCE APPLICATIONS IN MATHEMATICS TEACHING)

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
LMÖ 4005 FIELD ELC. 7 (ARTIFICIAL INTELLIGENCE APPLICATIONS IN MATHEMATICS TEACHING) ELECTIVE 2 0 0 4

Offered By

Mathematics Teacher Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR AYTEN ERDURAN

Offered to

Mathematics Teacher Education

Course Objective

To ensure the use of artificial intelligence tools in a way that supports their professional development and their effective integration into teaching processes.

Learning Outcomes of the Course Unit

1   Explain the concept of artificial intelligence.
2   Use artificial intelligence applications appropriately and effectively.
3   Use artificial intelligence technologies in accordance with ethical principles.
4   Develop educational content with artificial intelligence tools.
5   Evaluate artificial intelligence tools for effective use.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to artificial intelligence and its brief history
2 Definition of artificial intelligence, its importance, its purposes, application areas, study and research areas
3 Artificial intelligence languages and comparisons
4 Basic and advanced prompt types and sample usages
5 Identify and use artificial intelligence tools and the opportunities they offer to produce educational content.
6 Creating and organizing lesson plans appropriate to the content of the mathematics curriculum
7 Presentation of lesson plans
8 General review, course evaluation, midterm exam
9 Measurement and evaluation with artificial intelligence
10 Creating content-rich mathematics teaching presentations using artificial intelligence tools
11 Creating images and videos related to mathematics course content using artificial intelligence tools
12 Evaluating AI tools for effective use
13 Ethical use of artificial intelligence
14 Presentation of created artificial intelligence materials
15 Final Exam

Recomended or Required Reading

Nabiyev, V. ve Erümit, A.K. (2024). Eğitimde Yapay Zeka Kuramdan Uygulamaya, Pegem Yayıncılık: Ankara.
Miller, M. Eğitimciler için Yapay Zeka. Çeviren Funda Nayir ve Elif Simge Güzelergene. Istanbul: Anı Yayıncılık, 2024.

Planned Learning Activities and Teaching Methods

Lecture, discussion, question-answer

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

In order to evaluate students, homework can be given in the form of material development using artificial intelligence applications in midterm and final exams in line with learning outcomes.

Assessment Criteria

Assessment of students is measured by midterm and final exams in line with the learning outcomes.

Language of Instruction

Turkish

Course Policies and Rules

70% class attendance is mandatory.

Contact Details for the Lecturer(s)

ayten.erduran@deu.edu.tr

Office Hours

It will be announced at the beginning of the semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 91

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.18
LO.154
LO.2354
LO.354
LO.455555
LO.55

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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