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=== A ===

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

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

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

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

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

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

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

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

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

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{{o}} [[Job Analysis]]: Use of AI to identify future job requirements.
{{o}} [[Just-in-Time Learning]]: Providing learning content exactly when it is needed using AI.
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=== K ===

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

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

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

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

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

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

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{{o}} [[Quantum Computing]]: Future technology that could significantly boost AI capabilities.
{{o}} [[Quality Assurance]]: Use of AI to analyze and optimize educational content.
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=== R ===

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

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{{o}} [[Speech Recognition]]: AI technology for processing spoken language.
{{o}} [[Smart Classroom]]: Classroom equipped with AI-supported technology.
{{o}} [[Student Engagement]]: Promotion of active participation through AI-supported methods.
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=== T ===

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

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{{o}} [[Supportive AI]]: Systems that help teachers and students to facilitate learning processes.
{{o}} [[Usability]]: User-friendliness of AI systems in education.
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=== V ===

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

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

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{{o}} [[XAI (Explainable AI)]]: AI systems whose decisions are transparent and understandable.
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=== Y ===

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{{o}} [[YouTube Analysis]]: Use of AI to optimize learning content on platforms like YouTube.
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=== Z ===

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{{o}} [[Future Perspectives]]: Potentials and challenges for the use of AI in education.
{{o}} [[Equity of Access]]: Ensuring equal opportunities for all students in using AI technologies.
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AI in Education - Versionsgeschichte

oldwiki>Glanz am 2. August 2025 um 09:03 Uhr