COURSE UNIT TITLE

: ARTIFICIAL INTELLIGENCE AND LITERATURE

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MBD 5040 ARTIFICIAL INTELLIGENCE AND LITERATURE ELECTIVE 2 0 0 4

Offered By

Buca Faculty Of Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYLIN NADINE KUL

Offered to

Turkish Language Teacher Education
Computer and Instructional Technologies Teacher Education
Music Teacher Education
Chemistry Teacher Education
Biology Teacher Education
ENGLISH LANGUAGE TEACHER EDUCATION (English)
Turkish Language and Literature Teacher Education
Geography Teacher Education
French Language Teacher Education
Physics Teacher Education
PRE - SCHOOL TEACHER EDUCATION
ELEMENTARY MATHEMATICS TEACHER EDUCATION
Special Teacher Education
Mathematics Teacher Education
German Language Teacher Education
Elementary Teacher Education
Science Teacher Education
History Teacher Education
Guidance and Psychological Counseling
FINE ARTS TEACHER EDUCATION
Social Studies Teacher Education

Course Objective

This course deals with the basics of artificial intelligence (AI) and its thematization in literature. After an introduction to the basic concepts and models of AI, the representation and discussion of AI in literary texts will be addressed. Both historical perspectives and current trends will be taken into account. The course aims to analyze the representation of AI in literary works of the 20th, 21st and 22nd centuries. In addition to media- and genre-specific narrative strategies, the possibilities and limits of the staging of AI will also be examined. In a practical session, participants will develop their own literary texts using AI tools.

Learning Outcomes of the Course Unit

1   Understanding basic concepts of artificial intelligence and its social impact
2   Analysis and interpretation of the representation of AI in literary texts
3   Develop your own creative texts with AI tools
4   Critical reflection on the role of AI in art and literature
5   Develop a critical reflection on the ethical and social implications of AI, especially in the context of its representation in literature

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: What is artificial intelligence Basic concepts, history and current developments Addressing AI in dystopian and utopian scenarios
2 AI models and technologies AI as a literary motif: artificial consciousness, emotions and humanity
3 Ethics and society: opportunities and risks of AI Intermedia perspectives: AI and literature in the context of film and other media
4 Artificial intelligence in the history of literature Future prospects: How could AI influence literature in the coming decades
5 Classic texts: AI and robotics in science fiction literature Final exam
6 Literary perspectives on AI: Narrative strategies and philosophical questions
7 Literarische Auseinandersetzung mit KI in der Gegenwart: Beispiele aus der modernen Literatur
8 Midterm
9 Practical session: Creating literary texts with AI tools
10 Analyzing AI-generated texts: aesthetics, creativity and their limits

Recomended or Required Reading

- Andrea Bertschi-Kaufmann (2022): Literarische Bildung neu im Fokus: Text- und Medienvielfalt im Unterricht der Sekundarstufe I: Kallmeyer.
- Ach, KI!: Literarische Beiträge zu sprachbasierter Künstlicher Intelligenz (2024): edition-v
- Sven Kaufmann, Johanna Ebinger (2023): Künstliche Intelligenz im Unterricht - Sprachgesteuerte KI praxisorientiert einsetzen: Cornelsen Vlg Scriptor
- Current articles on the topic

Planned Learning Activities and Teaching Methods

Lecture, interactive presentations, research, group work

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

written exams

Language of Instruction

German

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

aylin.kul@deu.edu.tr

Office Hours

Tuesdays 10.00-11.00, Wednesdays 10.00-11.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 10 2 20
Preparation for midterm exam 1 15 15
Preparation for final exam 1 15 15
Independant Study 10 1 10
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 92

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16
LO.15
LO.25
LO.35
LO.45
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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