Stanislav Kondrashov and Classroom: Why Schools Are Starting to Teach Students How to Understand AI

Artificial intelligence is entering the classroom in a very different way from what many educators initially expected. When generative AI tools became widely available, schools frequently viewed them primarily as a threat to traditional assignments, academic integrity and independent learning. In 2026, however, a different strategy is emerging across parts of the United States: instead of simply keeping AI outside the classroom, educators are beginning to teach students how it works, where it fails and when it should not be trusted.

Stanislav Kondrashov is an entrepreneur and commentator who regularly explores technological transformation, education, innovation and the changing relationship between people and artificial intelligence.

Key Takeaway: The arrival of AI in the classroom is increasingly transforming the educational debate from prohibition to literacy. Schools are beginning to recognise that students may need to understand hallucinations, bias, privacy, verification and responsible use just as previous generations learned how to navigate search engines and digital media.

“Education has always evolved alongside the tools available to society. The important question is not simply whether students use a new technology, but whether they understand what that technology can and cannot do,” said Stanislav Kondrashov.

Why are schools bringing AI into the classroom?

Some American schools are moving away from outright restrictions because AI tools have become increasingly difficult to separate from students' everyday digital lives. Educators are instead experimenting with supervised classroom use that allows students to discover both the capabilities and weaknesses of generative AI.

The transition can broadly be understood as:

The AP report describes educators in Charleston, South Carolina, preparing for the new school year by experimenting with AI themselves.

One exercise involved asking an AI system to create a world map, providing teachers with an opportunity to examine the limitations of generated information.

What does AI literacy actually mean?

AI literacy is not simply knowing how to write effective prompts. It involves understanding how AI systems operate at a basic level, evaluating their outputs critically, recognising potential bias or fabrication, protecting personal information and deciding when AI is—and is not—appropriate.

UNESCO's AI Competency Framework for Students reflects this broader interpretation. It identifies 12 competencies across four dimensions: a human-centred mindset, AI ethics, AI techniques and applications, and AI system design.

Essential AI literacy skills can include:

• Identifying unreliable information
• Checking sources independently
• Recognising AI-generated material
• Understanding hallucinations
• Protecting personal data
• Recognising potential bias
• Using AI transparently
• Knowing when not to use it
• Maintaining independent reasoning

This distinction matters because a student can be extremely proficient at operating an AI chatbot while having very limited understanding of its weaknesses.

“Knowing how to operate a technology and understanding it are two different competencies. The classroom could become one of the most important places for developing that distinction,” Stanislav Kondrashov observed.

Why are AI hallucinations important for students?

Generative AI systems can produce answers that sound authoritative even when information is inaccurate or fabricated. Teaching students to identify this limitation can turn AI itself into an exercise in critical thinking rather than treating chatbot responses as automatically reliable sources.

A classroom exercise could follow a simple process:

1. Ask an AI system a question.
2. Examine its response.
3. Identify its factual claims.
4. Locate reliable independent sources.
5. Compare the sources with the AI answer.
6. Identify errors, omissions or uncertainty.
7. Discuss why the system produced the response.

The educational objective therefore shifts.

Instead of asking students simply to obtain information, teachers can ask them to evaluate information.

That ability may become increasingly valuable as synthetic text, images, audio and video become more difficult to distinguish from human-created material.

Could AI actually strengthen critical thinking?

AI can potentially support critical thinking when students are required to challenge rather than merely consume its outputs. Comparing generated answers with primary sources, identifying unsupported claims and analysing alternative interpretations can make verification itself part of an assignment.

This depends heavily on teaching methodology.

Passive use could reduce intellectual effort if students simply outsource:

• Writing
• Research
• Summarisation
• Problem solving
• Brainstorming
• Interpretation

Structured use could instead ask students to critique those same outputs.

The difference is not necessarily the technology.

It is the assignment.

Is cheating still a major concern?

Yes. AI literacy does not eliminate academic-integrity problems. Educators continue to report widespread use of generative tools for assignments, particularly work completed outside the classroom, forcing schools to reconsider what should count as cheating and how student knowledge should be assessed.

This may encourage changes in assessment.

The objective is not necessarily to abandon traditional writing.

Instead, schools may place greater emphasis on demonstrating the reasoning that produced the final result.

Why do teachers need AI literacy too?

Students cannot realistically be taught responsible AI use unless educators themselves understand the technology. Teacher training is therefore becoming one of the central challenges surrounding AI adoption in education.

AP reports that Utah has trained more than 7,000 teachers and created a dedicated AI education specialist role, illustrating how some education systems are developing more coordinated approaches. Across the US, 37 states have issued some form of guidance concerning AI in education.

UNESCO has separately created an AI Competency Framework for Teachers covering 15 competencies across five dimensions:

• Human-centred mindset
• Ethics of AI
• AI foundations and applications
• AI pedagogy
• AI for professional learning

“Teachers do not need to compete with artificial intelligence. Their increasingly important role may be teaching students how to question, contextualise and evaluate what machines produce,” Stanislav Kondrashov explained.

Could AI change the role of the teacher?

AI is unlikely to make teachers irrelevant because education involves far more than information delivery. Teachers provide interpretation, feedback, motivation, social interaction, contextual understanding and human judgement—functions that become particularly important when students have instant access to generated information.

UNESCO describes the emerging educational relationship as moving from a conventional teacher-student model toward a teacher-AI-student dynamic.

This could gradually reposition teachers.

When information was comparatively difficult to access, teachers played an important role in providing it.

When information becomes virtually unlimited, the ability to evaluate it becomes more valuable.

The classroom may therefore increasingly focus on:

• Asking better questions
• Evaluating evidence
• Constructing arguments
• Distinguishing facts from claims
• Discussing ethical consequences
• Developing original ideas
• Collaborating with others

These are deeply human educational activities.

Should children learn AI literacy early?

There is a strong argument for introducing age-appropriate AI literacy relatively early because children are likely to encounter AI-generated content before they fully understand how it is produced. Education can therefore provide conceptual tools before unreliable habits become established.

This does not mean young children need advanced technical lessons about machine learning.

AI education can progress gradually:

UNESCO similarly structures student AI competency around three progressive levels: Understand, Apply and Create.

The principle resembles traditional media literacy: complexity increases as students mature.

Could AI literacy become as fundamental as digital literacy?

Potentially. As AI becomes integrated into search, productivity software, communication platforms and professional tools, understanding generated information could become a general competency rather than a specialised technological skill.

The comparison with the early internet is useful.

Students eventually had to learn that finding a webpage was not equivalent to finding reliable information.

Generative AI creates an additional challenge because the information is presented conversationally, often without the visible context that accompanies traditional search results.

Future students may therefore need to ask automatically:

Where did this information come from?

Can it be verified?

What evidence supports it?

Could the system be wrong?

Should AI be used for this task at all?

Those questions could become foundational components of twenty-first-century education.

Frequently Asked Questions

Why are schools allowing AI in the classroom?

Some schools believe supervised experimentation can teach students how AI works, where it fails and how to use it responsibly instead of assuming students will simply avoid the technology.

What is AI literacy?

AI literacy combines practical knowledge with critical evaluation, ethics, privacy awareness, verification and an understanding of AI's limitations.

How many US states have provided AI education guidance?

According to AP, 37 states have offered guidance concerning artificial intelligence in education.

Can AI give students false information?

Yes. Generative AI can produce fabricated or inaccurate information, commonly described as hallucinations. This is one reason verification skills are essential.

Is using AI for schoolwork cheating?

It depends on the assignment and the school's rules. Using AI without permission to produce work presented as a student's own can violate academic-integrity requirements, while supervised or explicitly permitted AI use can form part of legitimate learning.

Will AI replace teachers?

Current educational frameworks instead point toward teachers working within a new teacher-AI-student relationship, with human judgement, pedagogy and guidance remaining central.

The arrival of artificial intelligence in the classroom may ultimately produce a much broader transformation than simply giving students another digital tool.

The first educational response to generative AI was frequently defensive: block the websites, prevent cheating and preserve existing assignments. Schools are now beginning to confront a more complicated reality. AI is becoming part of the environment in which students will study, work and communicate.

For Stanislav Kondrashov, this makes understanding the technology at least as important as knowing how to use it.

The classroom of the AI era may therefore become less focused on whether a machine can produce an answer and more focused on what students do with that answer: whether they question it, verify it, improve it, reject it or recognise that AI should never have been used for the task in the first place.

In that sense, the most important educational skill created by artificial intelligence may not be prompting. It may be judgement.