Universities & colleges
For universities and colleges: adaptive learning paths, automated exam evaluation and AI-assisted study guidance. This makes academic learning more effective.
EdTech AI
AI in Education
AI in education means that learning content adapts to each learner, tutors answer questions around the clock and teachers get support with grading and creating materials. Context Studios, an AI-native development studio in Berlin, develops such learning platforms and AI features – GDPR-compliant and integrated into your LMS.
Making learning progress visiblePersonalised learning pathsLTI/SCORM-compatibleAccessibility (WCAG 2.1)
- Workshop
- Setup
- Sprint
- Build & Support
Fixed price after scoping · proposal within 48 h
Last updated:
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What is AI in education?
AI application area
AI in education (EdTech AI) refers to the use of language models, machine learning and adaptive algorithms to personalise teaching and learning. Typical applications are AI tutors, adaptive learning paths, automated grading assistance and learning analytics that make each learner's progress visible to teachers.
- Specialisation
- Adaptive learning, AI tutors, automated assessment, learning analytics
- Technologies
- GPT, Claude, Convex, Sentence Transformers, TensorFlow, Moodle/LTI
- Target group
- Schools, universities, training providers, corporate learning, EdTech startups
- Project duration
- Goal: AI feature in about 4–8 weeks, learning platform typically 3–6 months
- Compliance
- GDPR, EU AI Act (education = high risk), accessibility (WCAG 2.1), protection of minors' data
AI assistant developmentAI content generationChatbot developmentRAG developmentAI recommendation engine
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Which AI solutions are there for education and learning?
Personalised, adaptive, accessible – AI that supports learners and teachers
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Adaptive learning paths
Adaptive learning: our systems analyse individual learning patterns and automatically adjust difficulty, content sequence and practice frequency. This makes personalised learning scalable.
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AI-assisted content creation
Automated content creation: from exercises and summaries to exam questions, the AI produces draft materials in seconds that teachers review and adapt.
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Learning analytics dashboard
Real-time learning analytics: teachers see immediately where students are struggling. The system identifies knowledge gaps and recommends targeted support measures.
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Adaptive AI tutors
Natural-language tutoring systems: learners ask questions in their own words and receive explanatory answers — a patient learning companion that is always available.
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AI-assisted assessment
Grading assistance: from multiple choice and free-text answers to programming assignments, the system suggests consistent, traceable grades – the decision stays with the teacher.
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GDPR-compliant data protection
Data protection from the start: a GDPR-compliant architecture with encrypted data storage. Sensitive data of pupils and students is consistently protected.
Frequently asked questions about AI in the education sector
(01)How does AI personalise learning?
AI personalises learning paths by analysing a learner's answers, working times and typical mistakes. From this, the system derives strengths and knowledge gaps and dynamically adapts content, pace and difficulty. Teachers set the learning objectives and framework, so the personalisation remains pedagogically sound and traceable.
(02)Can AI be used in teaching in a privacy-compliant way?
Yes. We host data in European data centres, follow privacy by design and only collect the data needed for the learning purpose. Personal data can be pseudonymised, especially for minors. We agree roles and permissions, deletion periods and a data protection impact assessment with your institution and your data protection officers.
(03)How does AI integrate with existing learning management systems?
The solutions can be integrated into existing learning management systems such as Moodle, Canvas or Microsoft Teams – via standard interfaces such as LTI and SCORM as well as custom APIs and connectors. Learners then use the AI features directly in their familiar environment, and results flow back into the existing gradebook or reporting.
(04)What does an EdTech AI solution cost?
Costs depend on the scope of features, the number of users, integrations and data protection requirements; ongoing API costs depend on the model and volume. A single AI feature in an existing LMS is much leaner than a dedicated learning platform. Fixed price after scoping, proposal within 48 hours. A fixed-price workshop is a good way to start.
(05)Which levels of education is AI suitable for?
AI can support all levels of education: primary school, secondary school, higher education and vocational training. The requirements differ considerably, however – for minors, for example, in data protection and in the language of explanations. We therefore tailor each solution to the age, subject and pedagogical concept of the respective target group.
(06)Can AI replace teachers?
No – AI does not replace teachers, it amplifies their impact. It takes over routine work such as pre-grading, draft materials or organisational tasks and gives teachers more time for individual support. Pedagogical decisions, building relationships and final grading deliberately remain with people; the AI provides suggestions and overviews.
(07)How do you measure the learning success of AI-supported teaching?
We measure learning success through continuous assessments, engagement data and competence analyses and compare it with baseline values or control groups. The system provides clear reports for teachers and, where needed, for learners or parents. We agree in advance which metrics count, so that impact and benefit can be evaluated reliably.
(08)Does AI support multilingual learning?
Yes. Language models explain content in many languages, translate materials and assess answers in a language-sensitive way. For language schools and international degree programmes, pronunciation feedback and conversation practice are also possible. This makes learning offers accessible to more people, for example learners with a different first language, without translating every course manually.
(09)How long does it take to develop an AI learning solution?
Goal: a single AI feature in an existing platform, such as a tutor or grading assistance, is ready for use in about 4–8 weeks. A complete learning platform with roles, integrations and analytics typically takes three to six months. We set the exact timeline after scoping and plan pilot phases to fit the semester or school year.
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EdTech AI technologies
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AI & ML
Anthropic ClaudeOpenAI GPTGoogle GeminiOpen-Source LLMs (Llama, Qwen, DeepSeek, Mistral)ConvexRAG & Vector DBs (Pinecone, Weaviate)MCP (Model Context Protocol)Hugging Face TransformersComputer Vision (YOLO, SAM)ElevenLabs (Voice AI)Google Veo (Video AI)
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Web & Mobile
Next.js 16 & React 19TypeScriptReact Native & ExpoTailwind CSS v4Shadcn/uiVercel Edge Runtime
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Backend & Data
Node.js & Hono (Edge)PythonPostgreSQL & SupabaseConvex (Real-Time DB)RedistRPC & GraphQLOpenAPI 3.1
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DevOps & Infrastructure
Vercel & AWSDocker & KubernetesCI/CD-Pipelines (GitHub Actions)OpenTelemetry & GrafanaLangfuse (LLM Monitoring)
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Fields of application by education segment
Schools (K-12)
For schools and school authorities: personalised support plans, automated learning assessments and intelligent teaching materials that support teachers in a targeted way.
Corporate learning & training
For corporate learning: adaptive training programmes, skill gap analyses and personalised development paths that strengthen employee development.
Educational publishers
For educational publishers: automated content creation, interactive exercises and adaptive textbooks that modernise publishing products.
Language schools & language learning
For language schools: AI-assisted pronunciation assessment, adaptive vocabulary trainers and conversation simulations that support language acquisition.
EdTech startups
For EdTech startups: fast MVP development, scalable platform architecture and AI integration as the foundation for innovative education products.
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Example projects for learning platforms and tutors
Examples we can build for you
Higher education
AI study guidance for universities
An intelligent support agent for students: natural-language study guidance with access to study regulations and course offerings. Goal: a large share of enquiries answered automatically.
Automated first response · Multilingual · Available 24/7
Teaching
Knowledge system for teaching materials
A RAG-based knowledge system for teaching materials: students search lecture notes, textbooks and papers in natural language and receive precise, source-based answers.
Source-based answers · Fast search · Scalable
Examinations
Grading assistance for term papers
Grading assistance for term papers: pre-grading according to assessment rubrics, notes on possible plagiarism and draft feedback that teachers review. Goal: significantly less time spent on grading.
Rubric-based assessment · Draft feedback · Time savings
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EdTech AI — consultation in Berlin
- Founder AI-native since
- 2024
- Phone
- +49 30 96610664
- info [at] contextstudios [dot] ai
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How is an AI learning solution built?
- (01)
Consultation
Free 30-minute initial call via video. We get to know your learning objectives, target groups and systems and give you a first assessment of feasibility, data protection and timeline.
Day 1 - (02)
Proposal & planning
You receive a written proposal with scope, integrations, data protection concept, timeline and fixed price.
Days 2–3 - (03)
AI-accelerated development
Agile development with weekly demos. Goal: a first AI feature for a pilot group in about 4 weeks, with production-ready code and automated tests.
Weeks 1–4 - (04)
Launch & support
Introduction with complete documentation, training for teachers and 30 days of free bug fixing from final delivery. Maintenance and further development by agreement.
Week 4+
AI learning solutions for your institution
Develop learning platforms and AI features with us that noticeably relieve learners and teachers. Discuss your plans in a 30-minute call directly with the founder.
- First call: 30 minutes by video
- Directly with the founder, Michael Kerkhoff
- Free of charge, no obligation
Context Studios · Kaiser-Friedrich-Str. 6 · 10585 Berlin