TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| GERMAN LANGUAGE TEACHING (PhD) (GERMAN) | |
| Code | ADE812 |
| Name | Digitalization and Artificial Intelligence in German Language Education: Theory, Practice, and Research II |
| 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 students to develop a comprehensive understanding of the theoretical foundations, pedagogical approaches, and practical dimensions of digitalization and artificial intelligence technologies in German language education. Within the scope of the course, students are expected to develop skills in designing digital learning environments, analyzing AI-supported instructional processes, and conducting data-driven research. In addition, the course aims to foster critical awareness of the ethical, pedagogical, and societal dimensions of digitalization and the use of artificial intelligence.
Course Content
This course addresses digitalization and artificial intelligence applications in German language education from theoretical, practical, and research perspectives. In the first part of the course, the concept of digitalization, digital transformation in education, technology integration in foreign language teaching, and AI-supported learning theories are examined. In addition, digital tools and AI applications used in German language teaching, as well as their effects on language skills (reading, writing, listening, and speaking), are discussed. In the second part of the course, emphasis is placed on digital and AI-supported instructional design, material development, determining research methods, developing data collection tools, learning analytics, and data analysis processes. Students develop and implement an original research project based on digitalization and artificial intelligence in German language education and present it in the form of a scientific report.
Course Precondition
none
Resources
VARIOUS SCIENTIFIC ARTICLES
Notes
VARIOUS SCIENTIFIC ARTICLES
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 AI 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. | 2 |
| 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. | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Establishes scientific connections between knowledge areas. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Makes independent research. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Develop their knowledge and skills of graduate level on foreign language learning and teaching on an advanced level. | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Plans and executes scientific research. | 4 |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Manages a study requiring expertise in the field independently. | 3 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Questions scientific and social issues from new perspectives. | 3 |
| 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. | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Theoretical approaches to AI, digitalization, and foreign language education | Review previous theoretical content. | Öğretim Yöntemleri: Anlatım |
| 2 | Theoretical foundations of digital pedagogy | Read a text on digital pedagogy. | Öğretim Yöntemleri: Anlatım |
| 3 | AI and learning theories | Review learning theories. | Öğretim Yöntemleri: Anlatım |
| 4 | Technology acceptance models (TAM, UTAUT) | Read a source on TAM/UTAUT. | Öğretim Yöntemleri: Anlatım |
| 5 | AI models in language teaching | Review a recent article. | Öğretim Yöntemleri: Anlatım |
| 6 | Learning analytics | Read related text. | Öğretim Yöntemleri: Anlatım |
| 7 | Data collection tools | Identify tools. | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Data analysis | Review analysis methods. | Öğretim Yöntemleri: Soru-Cevap, Anlatım |
| 10 | AI-supported data interpretation | Explore AI tools. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Writing findings | Draft findings. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Academic writing techniques | Review guidelines. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Project presentations I | Prepare presentation. | Öğretim Yöntemleri: Örnek Olay, Tartışma |
| 14 | Project presentations II | Prepare presentation. | Öğretim Yöntemleri: Örnek Olay, Tartışma |
| 15 | General evaluation | Submit final report. | Öğretim Yöntemleri: Anlatım |
| 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 | ||