AI for education,
more time to teach

Every teacher knows the drill: piles of marking, spreadsheets full of grades and parent-teacher meetings that still need to be written up after a long day. AI supports schools precisely where the workload peaks—from automatic marking to smart meeting notes—so you can concentrate on what truly counts: contact with your pupils.

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More than a gadget

Where to start?

Discover the real power of AI without getting lost in hype or buzzwords

Automate

Recurring tasks—think multiple-choice marking or attendance tracking—can be handed over effortlessly to a well-trained model. Teachers report up to 40 % less admin time, freeing them to provide deeper feedback.

Personalise

Adaptive learning paths adjust by the second to a pupil’s level and interests. A maths fan who prefers analysing football statistics? The system serves questions in a sports context—and motivation rises noticeably.

Analyse

Learning analytics spot patterns you would otherwise miss. For instance, quiet Hugo consistently peaks in short practice sessions after lunch—useful insight when creating a personal study plan.

Protect

Privacy-by-design is not a luxury but a necessity. Modern educational AI automatically anonymises data and continually checks for bias, fully aligned with the Dutch Data Protection Authority guidelines.

What does it deliver?.

Less noise, more harmony in the classroom

A classroom is really like an orchestra

A classroom is really like an orchestra.

A classroom is really like an orchestra: each pupil plays at their own tempo and in their own key while the teacher tries to create a harmonious whole. AI acts as an invisible conductor, cueing every instrument at exactly the right moment.

Time saved

Automatic marking of closed questions removes on average one hour of marking per class per week. That soon adds up.

Better feedback

Generative AI tutors ask probing questions—“Why did you choose this solution?”—and encourage reflection instead of simple yes/no answers.

Insight & intervention

Dashboards link cognitive progress to wellbeing signals (such as log-in rhythm or discussion activity), enabling early intervention when pupils fall behind.

Faster detection of drop-out risks
One-click personalised learning paths
Transparent data reports for parents
Closer alignment with curriculum goals

How do you start with AI in education?.

Theory is great, but the value is in the practice. Follow these steps to get off to a structured start.

Step 1 – Diagnosis

Step 1 – Diagnosis.

Do not start by shopping for tools but with a sharp question: “Where are we losing most time?” Gather data from timetables, test analyses and teacher interviews. Often 80 % of frustration overlaps with 20 % of processes—the classic Pareto principle.

Step 2 – Small-scale experimentation

Step 2 – Small-scale experimentation.

Choose one subject, one class and one clearly measurable use case. For example, automatic feedback on English essays. Run the pilot for eight weeks so you experience both the technical teething problems and the pedagogical effects.

Step 3 – Guidelines and ethics

Step 3 – Guidelines and ethics.

In parallel with the pilot, draw up ground rules: what happens to pupil data? When does the teacher remain ultimately responsible? Involve pupils and parents—transparency builds trust.

Step 4 – Scale sensibly

Step 4 – Scale sensibly.

Is it working? Great. Only then scale to other subjects. Not in one big wave but in iterations: evaluate, refine and then roll out further. Some teams will move faster, others may hesitate; that is fine.

Professional development: organise a monthly “AI coffee corner” where colleagues share successes and failures. Informal learning moments often have more impact than formal training.

Practical applications today

Practical applications today.

From marking to parent communication: deploy AI right away

In practice, schools often start with low-threshold tools. One example is the automatic summary function for parent meetings: the teacher talks, the tool takes notes and labels agreements. It sounds small, but it saves five minutes per meeting. With twenty parents that is almost two lessons.

Automating marking

Multiple choice: instantly automatic
Open questions: semantic analysis suggests scores; teacher confirms or adjusts

Generating learning materials

Teachers enter learning objectives, AI compiles practice sets. Images and short explainer videos are automatically included.

In-class differentiation

Quick test completed? The system groups pupils dynamically based on real-time results.

A healthy dose of scepticism

A healthy dose of scepticism.

Not every shiny tool solves your problem

AI can take over thinking steps, making pupils less active in their reasoning. As noted earlier, blind trust is risky. The Dutch Data Protection Authority also warns of profiling risks in learning analytics.

Bias & representation

Training data drives behaviour. If datasets mainly contain patterns from highly educated urban groups, rural pupils may be disadvantaged.

Teacher role shifts

AI tutors are handy, but who guards pedagogical quality? Teachers are expected to become more of a coach and less of a broadcaster—a role that not everyone immediately feels comfortable with.

Technical dependency

Systems run in the cloud. If they go down you need a plan B, otherwise learning grinds to a halt.

Looking ahead to 2030

Looking ahead to 2030.

What can we expect in the next five years?

Adaptive learning environments are becoming increasingly visual. Think VR scenarios where physics pupils can “feel” gravity on Mars. Generative AI models will soon create not just text but fully interactive simulations.

Hybrid classrooms

Physical and digital pupils learn side by side. AI synchronises pace and interaction so nobody falls behind.

Micro-credentialing

Pupils earn badges for specific skills. AI validates those badges and passes them on to further education or employers.

Ethics-by-design

Legislation will force vendors to provide explainable algorithms. Transparency moves from nice-to-have to non-negotiable.

Ready for your AI roadmap?

Ready for your AI roadmap?

We are happy to spar over your specific educational challenges—no strings attached and no hidden sales pitch. Send us a short message and we will plan a virtual cup of coffee. So, when will you take the first step towards smarter education?

Hans Lugtenberg

"A deal is a deal"

Yield.inc is a new asset manager in the Netherlands that focuses on excellent customer experience, sustainability and technology. When faced with the question of whether to develop our platform in-house or with a partner, we got in touch with Spartner. We are still 100% behind the choice for Spartner because we own the source code and with Spartner, a deal really is a deal, whether it concerns the delivery date or the agreed budget!

Hans Lugtenberg Partner at Yield Inc.

"A professional software partner since 2010"

Spartner is involved and contributes in our search for innovations and always delivers top-notch work. After the first Huurda.nl version got out-dated, we collaboratively launched a completely new version in 2020.

Norbert Wegter Owner of 123wonen and Expat Homes Holland

"Doijer & Kalff"

After transferring our D&K portal to Spartner, we have elevated the further development and continuity to a higher level. Although the D&K platform was originally developed internally, our technical expert can now focus on other innovations within Doijer & Kalff. Spartner provides the quality we need without excessive costs. They have seamlessly taken over the care of our portal, allowing us to benefit from a flexible capacity that perfectly aligns with our future plans and innovation goals.

Reinier van Bergen Managing Director at Doijer & Kalff

Jurjen Terpstra

"Pragmatic and flexible collaboration"

Spartner has created a customized portal for us for the accountability of large-scale collaborative projects. This enables us and our partners to execute and account for their plans in a shared environment that is secure, transparent, and manageable. The pragmatic and flexible collaboration with Spartner has ensured that we have quickly achieved a functional and user-friendly environment.

Jurjen Terpstra Managing Partner at Wecreate Consulting

"AI and machine learning as legal tools"

In 2020, we transferred the development of Lynn to Spartner. As a result of their fast development process, the Lynn platform achieves an increasingly central role in the legal world.

Marco Caspers Software Development Manager at Lynn Legal

"As a business you must dare to move forward"

Innovation and change are not always welcomed with equal enthusiasm by our employees, man is a creature of habit but as a company you have to dare to move forward and the need for a contemporary drawing program for the realization of various constructions with our Masterbloc bricks was high. For us but also for Spartner, this challenge was a bit of pioneering and together we had to overcome some hurdles to arrive at a beautiful and efficient business tool. A development and learning process for both parties, in which the feedback of questions and desired adjustments by our employees to Spartner was always in good consultation and we could count on quick feedback and targeted solutions. We continue to exchange experiences with Spartner and look back and forward to a successful collaboration.

Bjorn Gubbels Owner of Masterbloc

"Spartner extends our capabilities and development capacity"

With weekly calls, using our Azure DevOps sprint system, Spartner actively works together with our innovation, communication and software development departments.

Marco Leenders Head of Automation

Gemeente Groningen

"Flexible collaboration with yearly updates"

The projectteam of the city of Groningen is very enthusiastic about the "Roomfinder" platform.

Gemeente Groningen Projectteam

"Have been using Laravel Excel for years"

We requested custom help to a performance challenge we had in our implementation of Laravel Excel. I was amazed how quickly these Laravel artisans achieved significant performance gains, which saved us a lot of development time.

Josh Mountain Co-Founder at IncentivePilot.com

"Higher occupancy rate thanks to our user-friendly platform"

Throughout the great years that we cooperate with Spartner (previously Maatwebsite, Ed.), our software has been developed continuously. Students and landlords actively work with features like allocation, payments, chat, contract generation and more.

Maurice Evers Head of Student Housing Department

"Innovating in the digital identification network of The Netherlands and Europe"

The pro-active approach of Spartner was crucial in understanding the complexity of the eHerkenning network.

Maarten Bremer CTO / Founder Ensured

"Innovation in legal technology"

As jurists with knowledge of IT, we highly value quality; within code, but also in process. The high work-level and trustworthiness of Spartner gives us the capacity to continuously create innovative features.

Niels Winters Managing Director JuriBlox

Frequently asked questions

Practical answers to the questions we hear most often.

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What is the first thing I should do if I want to use AI at school? 😊

Start with a concrete pain-point analysis: where are we losing the most time or quality? Only then choose the technology.

Isn’t AI too expensive for smaller schools? 💸

Many basic features are already included in existing licences or are open source. The biggest investment is usually adoption time, not money.

How about privacy and GDPR? 🔒

Choose tools that anonymise data and provide data-processing agreements. Also check that the servers are located in the EU.

Can’t pupils just get ChatGPT to do all the work? 🤔

They can, but good pedagogy calls for process-oriented assignments. Ask for interim steps or hold discussions about the output.

Will teachers lose their jobs to robots? 😅

No. AI will take over routine tasks, but pedagogical and social interactions remain a human domain—and become even more important.

How do I prevent bias in adaptive systems? ⚖️

Ask vendors about their training data and test the tool with a diverse pilot group. Involve pupils in the evaluation.

Does AI work for early-years education too? 🧸

To a limited extent. Speech recognition can track language development, but human guidance remains crucial at this age.

Do I need to overhaul my entire ICT infrastructure? 🛠️

Not necessarily. Many AI services are cloud-based and integrate via APIs into existing VLEs and student information systems.

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Feel like a cup of coffee?

Whether you have a new idea or an existing system that needs attention?

We are happy to have a conversation with you.

Call, email, or message us on WhatsApp.

Bart Schreurs

Business Development Manager

06 54671577 bart@spartner.nl

Bart Schreurs

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