Business fields · Education & Teaching
AI training for Educators
Schools, universities, adult education providers and corporate academies are undergoing a fundamental shift with generative AI. Educators use AI assistants to differentiate teaching materials, create tasks at different levels, prepare feedback and write course descriptions. At the same time, AI challenges established assessment formats, coursework and the very notion of independent work. Educational institutions therefore have two jobs: to make their own work lighter in sensible ways and to equip learners to use AI competently and critically. A pedagogically sound approach frees up time for individual support, while careless use risks lower quality, data protection issues and unclear grading criteria.
Who is this course for?
- Teachers in general and vocational schools
- University lecturers
- Trainers in adult and continuing education
- L&D and corporate academy managers
- Heads of school and programme directors
Typical challenges we address
- Mixed-ability groups that need differentiated materials
- Heavy workload for marking, feedback and documentation
- Uncertainty about assessment and independent work in the age of AI
- Unclear rules on which tools may be used with which data
Practical scenarios from your field
Differentiating materials
From a source text, AI creates versions for different ability levels, language proficiency or support needs – with glossaries, guiding questions and extension tasks that the teacher checks and adapts.
Generating tasks and exercises
Practice questions, case studies, quizzes and model answers are created to match learning objectives and competence levels and can be imported into learning platforms. Variants for resits are easy to produce too.
Preparing feedback
Based on a marking rubric, AI drafts constructive, criteria-based feedback on anonymised work, which the educator adds to, weighs and takes responsibility for. Learners receive detailed feedback sooner.
Course and module planning
AI supports outline and lesson planning for teaching units, seminars or trainings, suggests changes of method and drafts module descriptions with clear learning outcomes. Timings and material lists are included.
Building learners' AI literacy
Educators design tasks in which learners use AI deliberately, verify its output and reflect on their process, rather than simply banning or ignoring AI use.
Communication and administration
Letters to parents, participant information, meeting minutes and FAQ answers are drafted faster, prepared in several languages and brought into a consistent tone. Key dates and deadlines are highlighted.
Possible hands-on projects
Quiz generator
A small web app that turns a pasted learning text into multiple-choice and gap-fill questions and outputs a printable worksheet or import file.
Rubric tool
An internal tool for creating, sharing and applying marking rubrics that totals scores and suggests feedback snippets for each criterion.
Learning path planner
An app that displays a course's modules, objectives and materials as a learning path and highlights gaps in competence coverage.
All 17 courses for Educators
AI for business (13)
- ChatGPT for Educators
- Claude for Educators
- Microsoft 365 Copilot for Educators
- Google Gemini for Educators
- AI Agents for Educators
- Prompt Engineering for Educators
- Generative AI for Educators
- n8n for Educators
- Make for Educators
- Perplexity for Educators
- Mistral Le Chat for Educators
- AI Image & Video Generation for Educators
- EU AI Act & AI Compliance for Educators
Vibe & agentic coding (4)
Data protection & compliance
Pupil and learner data, grades and special needs information are highly sensitive and may only be processed in approved systems, ideally anonymised; national and regional education and data protection rules apply. Grading and examination decisions remain with educators, and AI use in assessed work must be governed by transparent rules.
Prerequisites
Experience in teaching, training or education management; no technical background required.
Frequently asked questions
Can I let AI mark my students' work?
AI can prepare feedback drafts on anonymised texts, but grading remains your responsibility. Names, marks and support information do not belong in unapproved tools. In the course we practise anonymising work, applying rubrics and critically weighing AI suggestions. Responsibility stays clearly with you.
How should I deal with AI-written coursework?
Bans alone fall short, and AI detectors are unreliable. More effective are formats that make process and reflection visible, such as oral components, learning journals or disclosed AI use. The course presents concrete task formats and policies that allow independent work to be assessed fairly.
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