COURSE UNIT TITLE

: ARTIFICIAL INTELLIGENCE APPLICATIONS IN TURKISH LANGUAGE TEACHING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TRE 5068 ARTIFICIAL INTELLIGENCE APPLICATIONS IN TURKISH LANGUAGE TEACHING ELECTIVE 3 0 0 8

Offered By

Turkish Language Education

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR TUĞBA ŞIMŞEK

Offered to

Turkish Language Education

Course Objective

To introduce students to the areas of use, potential contributions and application methods of artificial intelligence technologies in teaching Turkish and to provide them with the ability to use these technologies effectively.

Learning Outcomes of the Course Unit

1   Explains the basic concepts of artificial intelligence and their areas of use in teaching Turkish.
2   Analyzes and evaluates artificial intelligence-supported language learning platforms.
3   Learns the application methods of natural language processing (NLP) technologies in teaching Turkish.
4   Integrates interactive artificial intelligence tools into lesson plans.
5   Critically evaluates the effects of artificial intelligence technologies on language teaching.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction and Overview of Artificial Intelligence Technologies
2 Artificial Intelligence and Language Learning
3 Characteristics of Turkish Language and AI Applications
4 Natural Language Processing (NLP) Applications in Turkish Language Teaching
5 AI-Based Language Learning Applications
6 Artificial Intelligence and Turkish Reading and Writing Skills
7 Voice Response and Speech Recognition Technologies
8 Personalized Language Learning Plans with Artificial Intelligence
9 Turkish Grammar and AI Applications
10 AI-Based Assessment and Feedback Systems
11 Artificial Intelligence and Turkish Language Leveling
12 Artificial Intelligence and Instructional Design
13 AI-Based Interaction in Turkish Language Teaching
14 General Evaluation of the Course and Final Project Presentation
15 Final

Recomended or Required Reading

1. MEB. (2024). Eğitimde yapay zekâ uygulamaları uluslararası forumu raporu. Istanbul.
2. Arslan, K. (2020). Eğitimde Yapay Zekâ ve Uygulamaları. Batı Anadolu Eğitim Bilimleri Dergisi, 11(1), 71-88.
3. Bayşi, N. (Ed.). (2024). Dijital Çağda Türkçe Eğitimi. Eğitim Yayınevi.
4. Miller, M. (2024). Eğitimciler için Yapay Zekâ. Anı Yayıncılık.
5. https://yegitek.meb.gov.tr/meb_iys_dosyalar/2024_07/12172521_meb_nek_yapay_zek_araclari_12072024_web.pdf

Planned Learning Activities and Teaching Methods

discussion, question and answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTEG MIDTERM GRADE
2 ASG ASSIGNMENT
3 FCG FINAL COURSE GRADE
4 FCG FINAL COURSE GRADE MTEG * 0.30 +ASG* 0.10 + FCG* 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.30 + ASG * 0.10 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

exam, assigment

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

tugba.simsek@deu.edu.tr

Office Hours

Between 10.20 and 11.00 on Mondays

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 7 91
Preparation for final exam 1 30 30
Preparing assignments 1 30 30
Final 1 2 2
Project Assignment 1 3 3
TOTAL WORKLOAD (hours) 195

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.155555555
LO.255555555
LO.355555555
LO.455555555
LO.555555555

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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