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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS TUR 4015 FIELD SELECT.7 (ARTIFICIAL INTELLIGENCE APPLICATIONS IN TURKISH LANGUAGE TEACHING) ELECTIVE 2 0 0 4

Offered By

Turkish Language Teacher Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR IBRAHIM SEÇKIN AYDIN

Offered to

Turkish Language Teacher 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 What is Artificial Intelligence Its Use in Education and General Concepts. Artificial Intelligence and Teaching 2 The Relationship Between Digitalization and Artificial Intelligence in Turkish Language Teaching 3 Content Production with Artificial Intelligence (Scenario Writing, Video-Audio-Visual Creation) 4 Use of Artificial Intelligence in Digital Educational Games 5 Artificial Intelligence-Supported Language Education Applications 6 Artificial Intelligence-Supported Dictionaries and Translation Applications 7 What is Natural Language Processing (NLP) Basic Concepts and Applications 8 General Review 9 NLP Tools for Turkish Text Analysis 10 Preparing Artificial Intelligence-Supported Interactive Course Materials 11 Personalized Learning Systems in Turkish Language Teaching 12 Artificial Intelligence and Ethics 13 The Place of Artificial Intelligence in Turkish Language Teaching of the Future 14 General Evaluation 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.

Planned Learning Activities and Teaching Methods

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

None

Assessment Criteria

will be announced

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

seckin.aydin@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 2 26 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 4 4 Preparation for final exam 1 5 5 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 89

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 5 5 5 5 5 5 5 5 5 5 5 5 LO.2 4 4 4 4 4 4 4 4 4 4 4 4 4 LO.3 3 3 3 3 3 3 3 3 3 3 3 3 3 LO.4 2 2 2 2 2 2 2 2 2 2 2 2 2 LO.5 1 1 1 1 1 1 1 1 1 1 1 1 1