AI in Education

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A

Algorithm: A step-by-step instruction for solving problems or tasks, often used in computer science.
Artificial Intelligence (AI): Simulation of human intelligence by machines, especially computer systems.
Asynchronous Learning: Use of AI tools for individual learning without all participants needing to be online at the same time.
Adaptive Learning Systems: AI-based platforms that adapt to the needs and abilities of individual students.
Augmented Reality (AR): Augmented reality that uses AI to integrate digital elements into the real world.
Automation: Use of technologies such as AI to perform tasks without human intervention.

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B

Big Data: Extremely large datasets that can be analyzed by AI to detect patterns and gain insights.
Bot: An automated program that performs tasks online or within software systems.
Bias in AI: Prejudices or distortions that may arise in AI systems due to unbalanced training data.
Image Processing: AI technology that analyzes and interprets images, e.g., for visual recognition.
Blockchain in Education: Technology that enables transparency and security in data storage.
Educational AI: Systems specifically developed to support and improve the learning process.

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C

Chatbots: AI-powered systems that interact with users and provide information.
Cloud Computing: Provision of computing power and storage via the internet, often the foundation for AI systems.
Computer Vision: Subfield of AI that enables computers to interpret visual data.
Cybersecurity: Protection against digital threats, often with AI-powered systems.
Curriculum Design: Use of AI to optimize curricula based on learning data.

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D

Data Mining: Process of analyzing large datasets to extract patterns and knowledge.
Deep Learning: Advanced AI technology using neural networks to solve problems.
Digital Assistants: AI systems like Siri or Alexa that provide information and perform tasks.
Data Privacy: Protection of personal data when using AI systems in education.
Data Ethics: Study of moral questions related to the use of data and AI.

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E

E-Learning: Learning with digital technologies, often supported by AI.
AI Ethics: Study of the moral implications and responsibilities when dealing with AI.
Explainable AI (XAI): AI systems whose decisions can be understood by humans.
Applications of AI: Fields like education, medicine, economy, and transport where AI is used.
Real-Time Data Processing: Analysis of data in real time, enabled by AI.

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F

Feedback Systems: AI-based systems that provide individual feedback for learning.
Fuzzy Logic: Method in AI that handles imprecise data to mimic human reasoning.
Support through AI: Assistance for disadvantaged students through personalized learning offers.
Formative Evaluation: Use of AI for continuous assessment and improvement of the learning process.

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G

Gamification: Integration of playful elements into learning, often supported by AI.
Generative AI: Systems like ChatGPT that generate content such as text, images, or videos.
Facial Recognition: AI technology for identifying individuals by their faces.
Global Competencies: Skills that students can develop for the future using AI-supported tools.

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H

Human-in-the-Loop: Approach in which humans monitor and adjust AI systems.
Holography: Use of AI to create 3D images for interactive learning environments.
Blended Learning: Combination of classroom teaching and AI-supported online learning.
Handwriting Recognition: AI technology that converts handwritten text into digital form.

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I

Individualized Learning: Adapting learning content to the needs of individual students using AI.
Internet of Things (IoT): Network of connected devices that can be controlled by AI.
Interactive Learning Environments: AI-supported platforms that actively engage students in the learning process.
Intelligent Tutoring Systems: AI systems that provide individual support and supervision for students.

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J

Job Analysis: Use of AI to identify future job requirements.
Just-in-Time Learning: Providing learning content exactly when it is needed using AI.

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K

Artificial Intelligence (AI): Umbrella term for machines that simulate human-like intelligence.
Collaborative Learning: Joint learning supported by AI platforms.
Cognitive Load: Reduction of students' mental burden through AI-based learning aids.
Knowledge Graphs: Representations of knowledge analyzed and used by AI.

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L

Learning Analytics: Analysis of learning data to improve teaching.
Learning Progress Monitoring: Use of AI to track and assess student progress.
Learning Platforms: Online platforms that use AI to provide personalized learning content.
Lifelong Learning: Promotion of continuous education through AI-supported offerings.

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M

Machine Learning: Subfield of AI in which systems "learn" from data.
Pattern Recognition: AI technology that identifies patterns in data, e.g., for analysis.
Mental Models: Understanding of concepts supported by AI-driven visualizations.
Media Literacy: Ability to use AI tools effectively and responsibly.

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N

Neural Networks: Basis of many modern AI systems, inspired by the human brain.
Natural Language Processing (NLP): AI technology for processing and analyzing human language.
Sustainability: Use of AI to promote environmentally friendly solutions in education.
AI Tutoring: Automated support for students across various subjects.

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O

Open Educational Resources (OER): Free educational resources, often organized and provided by AI.
Object Recognition: AI technology for identifying objects in images or videos.
Curriculum Optimization: Use of AI to improve content and structure.

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P

Personalization: Adapting content and methods to individual student needs through AI.
Predictive Analytics: Use of AI to predict future trends or performance.
Programming: Creating AI models, often using specialized programming languages.

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Q

Quantum Computing: Future technology that could significantly boost AI capabilities.
Quality Assurance: Use of AI to analyze and optimize educational content.

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R

Robotics: Development of robots controlled by AI and used in education.
Risk Management: Identifying and mitigating risks when implementing AI in schools.
Recommender Systems: AI technology that recommends content based on preferences and needs.

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S

Speech Recognition: AI technology for processing spoken language.
Smart Classroom: Classroom equipped with AI-supported technology.
Student Engagement: Promotion of active participation through AI-supported methods.

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T

Text Generation: AI that automatically creates texts, e.g., for summaries.
Technological Integration: Incorporation of AI into everyday teaching.
Model Training: Process by which AI systems "learn" through data.

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U

Supportive AI: Systems that help teachers and students to facilitate learning processes.
Usability: User-friendliness of AI systems in education.

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V

Virtual Reality (VR): Immersive learning environments supported by AI.
Behavior Analysis: Use of AI to observe and analyze student behavior.
Visualizations: Creation of data images or concepts using AI.

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W

Knowledge Management: Use of AI to organize and make knowledge accessible.
Wearables: AI-supported wearable devices that can assist learning.
Vocabulary Expansion: Promotion of language skills through AI.

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X

XAI (Explainable AI): AI systems whose decisions are transparent and understandable.

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Y

YouTube Analysis: Use of AI to optimize learning content on platforms like YouTube.

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Z

Future Perspectives: Potentials and challenges for the use of AI in education.
Equity of Access: Ensuring equal opportunities for all students in using AI technologies.

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Schulfach+

Prüfungsliteratur 2026
Bundesland	Bücher	Kurzbeschreibung
Baden-Württemberg	Abitur Der zerbrochne Krug - Heinrich von Kleist Heimsuchung - Jenny Erpenbeck Mittlere Reife Der Markisenmann - Jan Weiler oder Als die Welt uns gehörte - Liz Kessler Ein Schatten wie ein Leopard - Myron Levoy oder Pampa Blues - Rolf Lappert	Abitur Dorfrichter-Komödie über Wahrheit/Schuld; Roman über einen Ort und deutsche Geschichte. Mittlere Reife Wahllektüren (Roadtrip-Vater-Sohn / Jugendroman im NS-Kontext / Coming-of-age / Provinzroman).
Bayern	Abitur Der zerbrochne Krug - Heinrich von Kleist Heimsuchung - Jenny Erpenbeck	Abitur Lustspiel über Machtmissbrauch und Recht; Roman als Zeitschnitt deutscher Geschichte an einem Haus/Grundstück.
Berlin/Brandenburg	Abitur Der zerbrochne Krug - Heinrich von Kleist Woyzeck - Georg Büchner Der Biberpelz - Gerhart Hauptmann Heimsuchung - Jenny Erpenbeck	Abitur Gerichtskomödie; soziales Drama um Ausbeutung/Armut; Komödie/Satire um Diebstahl und Obrigkeit; Roman über Erinnerungsräume und Umbrüche.
Bremen	Abitur Nach Mitternacht - Irmgard Keun Mario und der Zauberer - Thomas Mann Emilia Galotti - Gotthold Ephraim Lessing oder Miss Sara Sampson - Gotthold Ephraim Lessing	Abitur Roman in der NS-Zeit (Alltag, Anpassung, Angst); Novelle über Verführung/Massenpsychologie; bürgerliche Trauerspiele (Moral, Macht, Stand).
Hamburg	Abitur Der zerbrochne Krug - Heinrich von Kleist Das kunstseidene Mädchen - Irmgard Keun	Abitur Justiz-/Machtkritik als Komödie; Großstadtroman der Weimarer Zeit (Rollenbilder, Aufstiegsträume, soziale Realität).
Hessen	Abitur Der zerbrochne Krug - Heinrich von Kleist Woyzeck - Georg Büchner Heimsuchung - Jenny Erpenbeck Der Prozess - Franz Kafka	Abitur Gerichtskomödie; Fragmentdrama über Gewalt/Entmenschlichung; Erinnerungsroman über deutsche Brüche; moderner Roman über Schuld, Macht und Bürokratie.
Niedersachsen	Abitur Der zerbrochene Krug - Heinrich von Kleist Das kunstseidene Mädchen - Irmgard Keun Die Marquise von O. - Heinrich von Kleist Über das Marionettentheater - Heinrich von Kleist	Abitur Schwerpunkt auf Drama/Roman sowie Kleist-Prosatext und Essay (Ehre, Gewalt, Unschuld; Ästhetik/„Anmut“).
Nordrhein-Westfalen	Abitur Der zerbrochne Krug - Heinrich von Kleist Heimsuchung - Jenny Erpenbeck	Abitur Komödie über Wahrheit und Autorität; Roman als literarische „Geschichtsschichtung“ an einem Ort.
Saarland	Abitur Heimsuchung - Jenny Erpenbeck Furor - Lutz Hübner und Sarah Nemitz Bahnwärter Thiel - Gerhart Hauptmann	Abitur Erinnerungsroman an einem Ort; zeitgenössisches Drama über Eskalation/Populismus; naturalistische Novelle (Pflicht/Überforderung/Abgrund).
Sachsen (berufliches Gymnasium)	Abitur Der zerbrochne Krug - Heinrich von Kleist Woyzeck - Georg Büchner Irrungen, Wirrungen - Theodor Fontane Der gute Mensch von Sezuan - Bertolt Brecht Heimsuchung - Jenny Erpenbeck Der Trafikant - Robert Seethaler	Abitur Mischung aus Klassiker-Drama, sozialem Drama, realistischem Roman, epischem Theater und Gegenwarts-/Erinnerungsroman; zusätzlich Coming-of-age im historischen Kontext.
Sachsen-Anhalt	Abitur (keine fest benannte landesweite Pflichtlektüre veröffentlicht; Themenfelder)	Abitur Schwerpunktsetzung über Themenfelder (u. a. Literatur um 1900; Sprache in politisch-gesellschaftlichen Kontexten), ohne feste Einzeltitel.
Schleswig-Holstein	Abitur Der zerbrochne Krug - Heinrich von Kleist Heimsuchung - Jenny Erpenbeck	Abitur Recht/Gerechtigkeit und historische Tiefenschichten eines Ortes – umgesetzt über Drama und Gegenwartsroman.
Thüringen	Abitur (keine fest benannte landesweite Pflichtlektüre veröffentlicht; Orientierung am gemeinsamen Aufgabenpool)	Abitur In der Praxis häufig Orientierung am gemeinsamen Aufgabenpool; landesweite Einzeltitel je nach Vorgabe/Handreichung nicht einheitlich ausgewiesen.
Mecklenburg-Vorpommern	Abitur (Quelle aktuell technisch nicht abrufbar; Beteiligung am gemeinsamen Aufgabenpool bekannt)	Abitur Land beteiligt sich am länderübergreifenden Aufgabenpool; konkrete, veröffentlichte Einzeltitel konnten hier nicht ausgelesen werden.
Rheinland-Pfalz	Abitur (keine landesweit einheitliche Pflichtlektüre; schulische Auswahl)	Abitur Keine landesweite Einheitsliste; Auswahl kann schul-/kursbezogen erfolgen.