AI for schools, built on science, delivered with joy
Comprehensive AI training opportunities for teachers and students, grounded in
peer-reviewed research, spaced across months, and tailored to suit every unique
educational setting.
Evidence-Based Education Solutions is a professional development organisation
headquartered in Tallinn, Estonia. Our flagship program, AI for Schools, sits
at the heart of our operations. Every solution we design is rooted in
peer-reviewed research; and we don't keep that evidence to ourselves. We believe
that educators and learners deserve to understand the why behind what they're
taught, so we share our research openly with everyone we train.
Our mission
Our mission is to empower teachers and students to create meaningful change in their own lives and the lives of others through evidence-based practices they understand, trust, and feel confident applying.
Research-backed
Every training program's design choice is rooted in peer-reviewed evidence. We don't just say "evidence-based," we show the evidence to participants explicitly.
Spaced learning
Sessions spread across months with reflection periods built in. One-day workshops don't change anything; real change takes time and follow-through.
Peer collaboration
Educators learn best together. We design for it: paired tasks, group projects, and monthly check-ins that build genuine professional communities.
Expert trainers
Years of experience across IB curricula, education policy, curriculum development, research, and classroom teaching. From real educators, for real educators.
The team behind it
Our co-founders
Co-Founder · Trainer and School Partnerships Lead
Wasma Imran
With 8 years of experience spanning education, leadership and learning and development and a Master's degree in Educational Innovation and Leadership, Wasma Imran is a passionate advocate for meaningful, learner-centered development.
Her career journey is as rich as it is varied, from the classroom as a teacher and examiner, to curriculum architect, teacher trainer, instructional design and leadership. This breadth of experience has given her a uniquely holistic perspective on how people learn, what gets in the way, and how to design solutions that actually work.
Today, Wasma works as a Learning Interventions Specialist and Instructional Designer, where she identifies learning gaps and translates them into targeted, engaging digital experiences. She brings her designs to life using tools like Genially, LearnWorlds, and Articulate, creating content that is as visually compelling as it is pedagogically sound.
Co-Founder · Learning Experience Design Lead
Aytaj Ismayilzada
Aytaj Ismayilzada is a Learning Experience Designer and Instructional Designer who turns ideas into learning experiences that feel clear, thoughtful and human.
She holds an MA in Instructional Design and is currently pursuing a PhD focused on VR game design, exploring how emerging technologies can make learning more interactive, engaging and meaningful. Her work brings together creativity, storytelling, learning science and digital innovation to transform complex ideas into clear, memorable learning journeys.
Aytaj believes learning should go beyond information delivery. It should spark curiosity, build confidence and give learners experiences they can truly connect with and carry forward.
The programme
Two tracks One mission AI-ready schools
Two purpose-built tracks: one for students, one for teachers. Pick a track to see the full curriculum.
Seven training options that take students from curious beginner to confident AI builder.
01
Foundations of AI Self-PacedLive Sessions
A real foundation in what AI is, how it learns, where it shines, where it breaks, and why any of this matters for the students using it every day.
Understand the core ideas: training data, neural networks, generative AI
Spot AI in everyday life and trace how it got there
Critically evaluate AI output for bias, hallucination, and reliability
Engage with AI ethics: privacy, consent, misinformation, accountability
Discuss AI's societal impact across work, creativity, and decision-making
02
Prompt Engineering Self-PacedLive Sessions
Prompt craft. The single skill that separates useful AI work from generic noise. Students learn to talk to AI in a way that actually works.
Structure prompts that produce high-quality, on-target output
Use techniques like role-prompting, chain-of-thought, and few-shot examples
Diagnose and fix "bad" AI responses instead of giving up
Adapt prompting style across ChatGPT, Claude, Gemini, and image tools
Build a personal prompt library you'll genuinely reuse
03
AI Tools in Practice Self-PacedLive Sessions
Hands-on, no spectators. Students use the tools professionals actually use today, well, responsibly, and creatively, across writing, image, audio, video, and code.
Get fluent across leading LLMs: ChatGPT, Claude, Gemini
Create with AI image, video, and audio tools
Explore AI-powered coding tools and what they're really good at
Know when to use which tool for which job
Complete applied cross-subject projects with AI assistance
Tools we explore
ChatGPTClaudeGeminiMidjourneyDALL·E 3Adobe FireflyGitHub CopilotCursorRunway MLSuno AIPerplexityNotion AI
04
Working with Claude and Cowork Self-PacedLive Sessions
Claude is the model most professionals reach for when they need AI to actually think. This training option goes deep on Claude itself, how to brief it well, and how Cowork turns Claude into a workflow, not just a chat window.
Understand what makes Claude distinct and where it shines
Use Claude's long context for serious research, reading, and writing
Work with Projects, Artifacts, and Files for real student work
Use Cowork to give Claude tasks, files, and goals, not just messages
Build a personal Claude workflow you'll keep using outside class
Know Claude's limits and how to work around them honestly
Inside Claude & Cowork
ClaudeCoworkProjectsArtifactsFilesClaude Code
05
AI for Academic Practice Self-PacedLive Sessions
How to use AI to actually learn better, not skip the learning. Practical study workflows: planning a study session, getting useful feedback, debugging your own thinking, and staying intellectually honest.
Plan and run productive study sessions with AI alongside
Get useful feedback on writing, problem-solving, and code
Build research workflows AI accelerates without distorting
Know when AI helps your learning and when it shortcuts it
Develop academic integrity habits that work with AI, not against it
Tools we use
ClaudeCoworkPerplexityNotion AINotebookLM
06
Designing an AI Agent Self-PacedLive Sessions
Don't just use AI, build one. Students design and ship a working AI agent for a use case they choose themselves: a study buddy, a writing coach, a project helper.
Understand what an AI agent is and how it differs from a static tool
Learn the building blocks: goals, inputs, processing, outputs
Design and prototype an AI agent for a real use case
Test, iterate, and improve based on performance and feedback
Present the agent to peers and teachers, communication alongside craft
07
Capstone: AI Solution Design 24-hr training programs only
The capstone. In teams, students tackle a real problem from their school or community and build an end-to-end AI solution from diagnosis to delivery.
01
Scan the problem
Map workflows, identify pain points, frame the problem
02
Choose your tools
Evaluate AI tools and capabilities against the problem
03
Build & present
Prototype, test in context, present to a real audience
Identify and define a real problem AI could meaningfully address
Evaluate AI tools against defined criteria
Design and build a working AI-powered solution with measurable impact
Test, gather feedback, and iterate
Communicate rationale and outcomes clearly to stakeholders
Eight training options designed around how teachers really work: planning, differentiating, assessing, and using the tools well.
01
AI Literacy for Educators Self-PacedLive Sessions
Before teachers can guide students through AI, they need solid grounding themselves, with a pedagogical lens, not a techie one.
Understand how AI works at a conceptual level, no technical background required
Recognise AI applications relevant to subject areas and age groups
Navigate the academic integrity challenges generative AI creates
Develop classroom norms and policies around student AI use
Connect AI literacy to broader critical-thinking development
02
Prompt Engineering for Educators Self-PacedLive Sessions
Prompt craft for teachers. Every classroom task is a prompt away from a great first draft, if you know how to ask. This is the skill that makes everything else faster.
Structure prompts for lesson plans, rubrics, feedback, and parent emails
Use role-prompting and chain-of-thought for nuanced pedagogical tasks
Diagnose and refine "bad" AI output instead of giving up on it
Build a personal prompt library you actually reuse week to week
Adapt your prompting across ChatGPT, Claude, Gemini, and MagicSchool
03
AI Tools for the Classroom Self-PacedLive Sessions
A hands-on tour of the AI platforms teachers can actually use this term, across planning, materials, admin, and student-facing work. No theory, just doing.
Get hands-on with ChatGPT, Claude, and Gemini for planning, feedback, research
Use Canva AI, Adobe Express, and Firefly to create classroom visuals in minutes
Explore MagicSchool AI and Khanmigo, built specifically for educators
Use Notion AI and Microsoft Copilot for admin, reports, and communication
Leave with a curated AI toolkit for your subject and teaching style
Working with Claude and Cowork Self-PacedLive Sessions
Claude is the model many teachers reach for when they need AI that actually thinks. This training option goes deep on Claude itself: Projects, Artifacts, Files, and how Cowork turns Claude into a workflow built around your real teaching week.
Understand what makes Claude distinct and where it shines for teaching
Use Projects to keep context across multi-step teaching work
Build with Artifacts: lesson plans, rubrics, parent letters, student handouts
Use Cowork to give Claude tasks tied to real files and real goals
Build a personal Claude workflow you'll use across your teaching week
Know Claude's limits and how to work with them honestly
Inside Claude & Cowork
ClaudeCoworkProjectsArtifactsFilesClaude Code
05
AI for Lesson and Unit Planning Self-PacedLive Sessions
Plan lessons, units, and assessments with AI as your draft partner. Less time on paperwork, more time on people. Built for the IB and any rigorous curriculum.
Use AI to draft lesson plans, learning objectives, and unit outlines
Adapt AI output to specific curricula, including IB programmes
Create engaging activities, discussion prompts, and inquiry tasks
Save planning time without losing your pedagogical intention
Build a personal AI-assisted planning library for your subject
06
Differentiation with AI Self-PacedLive Sessions
Differentiation without burning out. AI helps you meet every learner where they are, without hand-crafting 25 versions of every task.
Create differentiated materials for varying abilities and learning needs
Build adapted materials for ELL students and SEN learners
Design personalised feedback pipelines using AI review tools
Know where teacher judgment is irreplaceable and where AI genuinely helps
07
Assessment in the Age of AI Self-PacedLive Sessions
AI is changing how we assess. This training option turns the disruption into an advantage: rubric design, formative feedback at scale, written work analysis, and a thoughtful policy on student AI use.
Design rubrics that work in an AI-rich classroom
Use AI to give substantive, formative feedback at scale
Analyse student writing for genuine understanding, with and without AI
Set classroom policies on student AI use that students actually respect
Use Claude and Cowork as a marking and feedback co-pilot
Know what AI can and can't tell you about student work
Assessment tools
ClaudeCoworkWritableTurnitin AIEssayGraderMagicSchool AI
08
Capstone: AI Workflow Design 24-hr training programs only
The capstone. Teachers identify a real, recurring friction point (marking, communication, planning, reporting) and build an AI-powered solution to address it. Walk away with something that actually saves time.
01
Scan the problem
Audit workflows, map bottlenecks, define a function worth optimising
02
Choose your tools
Compare AI tools and capabilities; decide what's right for the job
03
Build & deploy
Prototype, test against the real workflow, refine until it helps
Map and prioritise inefficiencies in a chosen work function
Evaluate AI tools and capabilities against specific criteria
Build a working AI solution: workflow, prompt system, or AI-assisted template
Test in a real context, gather feedback, iterate before deployment
Document and present to peers, creating a reusable resource for the school
How we deliver
Four ways to learn All built to stick
Pick the format that fits your school's context, schedule, and goals. Click any card for full details.
Four training days spaced over four months, with virtual check-ins between each. The format we've seen produce the most durable change in schools.
How it works
Four full training days, scheduled roughly one per month across a four-month window. Between training days, participants try ideas in their own classrooms, then return for the next session with real evidence and real questions.
Each gap between training days is bridged by a 45-minute virtual check-in, giving the cohort a structured space to share what's working, what isn't, and what to try next.
What's included
Full 24 hours of trainer-led sessions across four days
Four 45-minute virtual check-ins between training days
Effectiveness follow-up at six months, reported to the school
All session materials, slides, and resources
Access to a private peer community for the cohort
Who it's for
Schools that want real change, not a tick-box CPD day. Best suited to whole-staff or cross-subject cohorts where peer dialogue carries the learning forward between sessions.
Duration
24 hours over 4 months
Format
4 training days + 4 virtual check-ins
Participants
Min 10 (in-school) / 8 (online)
Investment
€150 per participant
Ready to book?
Tell us your dates and we'll send a tailored proposal within a week.
Every training topic, available online. Same content, same quality, on your own schedule, revisited as many times as you need.
How it works
Each course is built from the same curriculum as our in-school training, broken into bite-sized training options with video walkthroughs, hands-on exercises, and reflection prompts.
Participants access materials through a private portal, complete training options at their own pace, and can revisit anything as often as they like.
Available topics
All fifteen student and teacher training options are available self-paced.
Foundations of AI (Students)
Prompt Engineering (Students)
AI Tools in Practice (Students)
Working with Claude and Cowork (Students)
AI for Academic Practice (Students)
Designing an AI Agent (Students)
Capstone: AI Solution Design (Students)
AI Literacy for Educators
Prompt Engineering for Educators
AI Tools for the Classroom
Working with Claude and Cowork (Teachers)
AI for Lesson and Unit Planning
Differentiation with AI
Assessment in the Age of AI
Capstone: AI Workflow Design (Teachers)
Who it's for
Schools with distributed teams, busy calendars, or staff who prefer learning at their own rhythm. Also a great primer ahead of any live training format.
Duration
Self-paced access continues
Topics
15 training options students + teachers
Participants
Min 15 per organisation
Investment
€100 per person
Roll out to your team
Group sign-ups only. Tell us your headcount and we'll get you started.
A focused, 5-hour session on a single training option from the curriculum. The fastest way to introduce AI to your staff or spark a school-wide conversation.
How it works
One full day, five training hours, deep on a single training option of your choice. Hands-on activities, real classroom examples, and time to build something participants can use the following Monday.
Three months later, we follow up with a 30-minute virtual check-in to see what stuck, what didn't, and what to do next.
What's included
5 hours of trainer-led, in-person or online delivery
Training option of your choice from the curriculum
All session materials and follow-up resources
30-minute check-in at the 3-month mark
Who it's for
Schools wanting to test the water before committing to a longer programme, or to seed a specific topic (e.g. lesson planning with AI, or differentiation) across staff.
Duration
5 hours single day
Follow-up
3-month check-in included
Participants
Min 6 recommended
Investment
€80 per participant
Book a taster day
Pick a date and a training option. We'll handle the rest.
A 6-month action research journey. Teachers investigate, design AI-integrated interventions in their own classrooms, and produce a full report with findings and recommendations.
How it works
Six months of structured inquiry, framed around the action research cycle: plan, act, observe, reflect, re-plan. Each month brings a training session, a coaching check-in, and a piece of classroom work.
The cohort meets together for training and shares progress; each teacher works on their own intervention in their own context.
What's included
Monthly trainer-led sessions over six months
Monthly individual check-ins and peer coaching
Classroom intervention design support throughout
Full action research report at the end of the cycle
Publishable findings and recommendations for the school
Who it's for
Schools serious about embedding evidence-based practice and producing internal research outputs. Particularly useful where a school is shaping AI policy or curriculum.
Duration
6+ months full cycle
Cadence
Monthly training + check-ins
Output
Research report published
Investment
€350 per pp / month
Start an inquiry cohort
Let's scope your school's research focus together.
All prices are per participant. Every format includes post-training follow-up so
the learning doesn't stop when the session ends.
★ Best value
24-hour training programs
4 days + 4 virtual check-ins · spaced over 4 months
€150/ participant
Minimum 12 participants
Full 24-hour curriculum
4 virtual check-ins
6-month effectiveness follow-up
All materials & resources
Flexible
Self-paced
Every topic online · your own schedule · group access
€100/ participant
Minimum 15 participants
All 15 training options available
Continuing access for participants
Group sign-up for organisations
Same content as live training
Quick start
1-Day Session
5 hours · single training option · 3-month follow-up
€80/ participant
Minimum 15 participants
Single training option of your choice
3-month check-in included
All session materials
Deep dive
Action Research
6+ months · monthly sessions · full report
€350/ pp / mo
Minimum 14 participants
Monthly trainer-led sessions
Monthly check-ins & support
Full action research report
Classroom intervention design
Good to know. All prices are per participant. If travel to your venue is required,
additional travel costs are added to the quote. The 24-hour training programs includes one effectiveness follow-up
six months after completion, reported back to the school. The 1-day session includes a check-in at
three months. Multiple courses from the catalogue can run simultaneously by different trainers.
Custom packages available. Just reach out.
The science
Why our format actually works
We're not guessing at what makes professional development effective. The research
is clear, and we built our whole approach around it.
01
Teachers grow by doing, not just listening
People don't change their teaching because someone told them to. They change when they try something new in their own classroom, see what happened, reflect, and adjust. That cycle is the engine of real growth.
We don't hand you a script. We help you run the cycle in your own context, with structured support at every step.
02
Real change takes weeks, not hours
One-day workshops feel productive. Then Monday comes and nothing actually shifts. The skills that stick are the ones you practise across weeks, with time between sessions to try things out and people to compare notes with.
That's why our flagship programme runs over four months, not four days, with structured check-ins between every training day.
03
We show our thinking, not just our slides
Most training programs say "this is evidence-based" and ask you to trust it. We show the work. Why sessions are spaced. Why reflection is structured. Why peer pairs are built in. The reasoning is on the table.
You don't just leave with new techniques. You leave more confident reading the research yourself, and that's a skill you keep for the rest of your career.
Tell us a bit about your school and what you're interested in. We'll come back within a few days with a tailored proposal, scheduling options, and pricing.
