COURSE UNIT TITLE

: ARTIFICIAL INTELLIGENCE AND LITERATURE IN EDUCATION

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MBD 5086 ARTIFICIAL INTELLIGENCE AND LITERATURE IN EDUCATION 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

German Language 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 Using Artificial Intelligence as a Literary Motif: Artificial Consciousness, Emotions and Humanity
2 AI models and technologies Intermedia Perspectives: Artificial Intelligence and Literature in Relation to Film and Other Media
3 Ethics and society: opportunities and risks of AI Future Perspectives: How Artificial Intelligence Will Impact Literature in the Coming Decades
4 Artificial intelligence in the history of literature Final exam
5 Classic texts: AI and robotics in science fiction literature
6 Literary perspectives on AI: Narrative strategies and philosophical questions
7 General review: Midterm
8 Practical session: Creating literary texts with AI tools
9 Analyzing AI-generated texts: aesthetics, creativity and their limits
10 The Theme of Artificial Intelligence in Dystopian and Utopian Scenarios

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
- Güncel makaleler

Planned Learning Activities and Teaching Methods

Lecture, interactive presentations, research, group work

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE Midterm Exam
2 DTK Other Activity
3 FN Semester final exam
4 BNS BNS Student examVZ * 0.30 + Student examDTK * 0.10 + FN * 0.60
5 BUT Make- up note
6 BBN End of make-up grade Student examVZ * 0.30 +Student examDTK * 0.10 + BUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

exams

Language of Instruction

German

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

aylin.kul@deu.edutr

Office Hours

will 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 10 2 20
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Reading 6 4 24
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 99

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1525
LO.2535
LO.3525
LO.4425
LO.5425

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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