TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| GERMAN LANGUAGE TEACHING (PhD) (GERMAN) | |
| Code | ADE811 |
| Name | Digitalization and Artificial Intelligence in German Language Education: Theory, Practice, and Research I |
| Term | 2026-2027 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Almanca |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. YASEMİN DARANCIK |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to enable doctoral-level students to gain an advanced understanding of the theoretical foundations, pedagogical approaches, and application methods of artificial intelligence technologies in German language education. The course aims to equip students with the skills to develop AI-assisted instructional design, analyze learning processes using data, and plan, conduct, and report on original scientific research in this field. Furthermore, it aims to develop critical awareness of the ethical, pedagogical, and social dimensions of AI use.
Course Content
This course covers the theoretical, applied, and research aspects of artificial intelligence technologies within the context of German language education. The first semester examines the concept of artificial intelligence, its applications in education, digital transformation in foreign language teaching, theories of AI-assisted language learning, AI tools used in German language teaching, and their impact on language skills. Additionally, adaptive learning systems, learning analytics, and the ethical dimensions of AI use are discussed.
Course Precondition
none
Resources
Leichtfried, M., & Krammer, S. (Eds.). (2024). Künstliche Intelligenz: Auswirkungen und Anwendungen im Deutschunterricht. StudienVerlag.
Notes
Articles written in this field
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain the concepts of digitalization and artificial intelligence in the context of German language education. |
| LO02 | Analyze digital learning environments and artificial intelligence tools. |
| LO03 | Evaluate technology-supported learning processes in terms of language skills. |
| LO04 | Critically review the relevant literature. |
| LO05 | Discuss the ethical and pedagogical dimensions of digitalization and artificial intelligence. |
| LO06 | Develop digital and AI-supported instructional designs. |
| LO07 | Identify a research problem and select appropriate research methods. |
| LO08 | Develop and implement data collection tools. |
| LO09 | Analyze and interpret data. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Examine scientific events with a broad and deep perspective. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Analyzes and interprets events and issues from a scientific perspective. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Defines scientific research and analysis methods used in social sciences. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Brings innovation to his field. | 3 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Can apply a known method to a new field. | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Establishes scientific connections between knowledge areas. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Makes independent research. | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Develop their knowledge and skills of graduate level on foreign language learning and teaching on an advanced level. | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Plans and executes scientific research. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Manages a study requiring expertise in the field independently. | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Questions scientific and social issues from new perspectives. | 4 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | By supporting it with qualitative and quantitative data, student presents a scientific work carried out in its field in a written, oral or visual way to people who are experts or not experts in the field. | 2 |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Considers the social, scientific, cultural and ethical values while carrying out a scientific research or project or interpreting a study in the field. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to the course and its scope | Read the course syllabus and an introductory text on digitalization in education. | Öğretim Yöntemleri: Anlatım |
| 2 | The concept of digitalization and transformation in education. | Review a short text on digital transformation in education. | Öğretim Yöntemleri: Anlatım |
| 3 | Introduction to artificial intelligence and basic concepts | Read an introductory source on artificial intelligence. | Öğretim Yöntemleri: Anlatım |
| 4 | Technology integration in foreign language education | Explore an example of a digital learning platform. | Öğretim Yöntemleri: Anlatım |
| 5 | Digital learning environments | Explore an example of a digital learning platform. | Öğretim Yöntemleri: Tartışma, Anlatım |
| 6 | AI-supported language learning theories | Read a short article on AI in language learning. | Öğretim Yöntemleri: Anlatım |
| 7 | Reading skills and digital tools | Identify a digital tool for developing reading skills. | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Writing skills and artificial intelligence | Explore an AI tool for writing support. | Öğretim Yöntemleri: Anlatım |
| 10 | Digital applications in listening and speaking skills | Examine digital tools for listening and speaking. | Öğretim Yöntemleri: Anlatım |
| 11 | Adaptive learning systems | Review examples of adaptive learning systems. | Öğretim Yöntemleri: Anlatım |
| 12 | Learning analytics | Read a basic text on learning analytics. | Öğretim Yöntemleri: Tartışma |
| 13 | Literature review | Collect and review at least two academic sources. | Öğretim Yöntemleri: Anlatım |
| 14 | Student presentations | Prepare presentation. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | General evaluation | Review course content. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 143 | ||
| Total Workload / 25 (h) | 5,72 | ||
| ECTS | 6 ECTS | ||