AI may lift homework scores but weaken real learning, World Development Report raises concerns

Generative artificial intelligence (AI) is changing how students learn, write assignments and solve problems, but greater reliance on the technology may not always translate into deeper understanding or better examination performance. The concern has renewed debate over how schools and universities should integrate AI without compromising independent thinking and essential academic skills.

AI tools can explain difficult concepts, generate essays, solve mathematical problems and provide instant feedback. However, when students rely on generated answers instead of working through problems themselves, higher homework scores may not necessarily reflect genuine learning.

A study from China, cited in reporting on the issue, found that homework scores increased by 18% while in-class examination scores fell by 20% after six months of AI use. The study had not been peer-reviewed at the time of reporting, making it important to interpret the findings cautiously rather than treat them as conclusive evidence.

The reported results do not establish that AI use inevitably harms academic performance, nor can they be directly generalised to Indian students. They nevertheless raise an important question for educators: whether AI is helping students master concepts or simply making it easier to complete assignments.

Why higher homework scores may not mean better learning

The distinction between completing a task successfully and understanding the knowledge behind it lies at the heart of the debate over generative AI in education.

Students using AI can receive polished written responses, worked mathematical solutions and simplified explanations within seconds. These tools can make learning more accessible, particularly for students struggling with complex subjects. However, the benefits may be limited if learners copy answers without understanding the reasoning behind them.

Homework often allows time for research, revisions and outside assistance. Examinations, by contrast, may require students to recall information, explain their reasoning and apply concepts independently under time constraints.

When AI assistance replaces rather than supports the learning process, students may find it difficult to transfer what they appear to have learned into an examination or an unfamiliar problem.

The reported Chinese study highlights this potential gap between assisted performance and independent understanding. However, further research is needed to establish how AI affects learning across different age groups, subjects and education systems.

How unrestricted AI use could affect students

The impact of AI depends on how students use it, their existing knowledge and the guidance they receive from teachers. Used carelessly, however, the technology can create several challenges.

Independent thinking: Students develop reasoning skills by attempting problems, testing ideas, making mistakes and correcting them. Receiving ready-made answers before attempting a task can reduce opportunities to practise these skills.

Writing and problem-solving: Writing requires learners to organise ideas, build arguments and communicate clearly. Mathematics and science demand an understanding of methods and the ability to apply them to new situations. Overdependence on generated responses may limit practice in these areas.

Examination performance: Students accustomed to AI assistance may struggle with assessments requiring independent recall and reasoning. This is a potential risk, not an inevitable outcome; AI can also help students prepare through practice questions, feedback and targeted revision.

Accuracy and misinformation: AI systems can generate incorrect facts, flawed explanations and misleading conclusions. Students who accept responses without verification risk developing misconceptions.

Unequal access: Differences in access to devices, reliable internet, paid AI services and digital guidance could widen existing educational inequalities if institutions introduce the technology without adequate safeguards.

How teachers can use AI without undermining learning

The objective should be to make AI a learning assistant, not a substitute for students' own effort.

Teachers can encourage students to attempt assignments independently before consulting AI, helping them identify gaps in their understanding. Rather than asking a tool for a complete solution, students can request hints, alternative explanations or step-by-step guidance on similar problems.

After using AI, learners can be asked to explain the answer in their own words, justify their reasoning or identify errors in the generated response. Such exercises can help teachers assess whether students have understood the material rather than simply reproduced an answer.

Independent assessments, including supervised writing, classroom exercises, oral explanations and examinations, can provide a clearer picture of individual learning.

AI literacy should also become an important part of classroom practice. Students need to learn how to verify facts, compare explanations, recognise limitations and distinguish reliable evidence from unsupported claims.

What Indian schools and colleges should consider

For Indian education institutions, the debate highlights the need for clear policies that encourage responsible AI use while protecting independent learning.

Rather than imposing a blanket ban or allowing unrestricted use, schools and colleges can establish rules suited to different subjects and assignments.

Institutions should also clarify when AI can be used for brainstorming, editing, research assistance or problem-solving, and when students must disclose its use. Clear expectations can help learners understand the difference between legitimate assistance and submitting AI-generated work as their own.

Can AI improve student learning outcomes?

Yes. Generative AI can support learning when it encourages students to engage actively with a subject rather than bypass the work required to understand it.

A student studying physics, for example, could first attempt a problem independently and then use AI to compare methods or understand an error. A student learning a language could write a paragraph before seeking feedback on grammar and sentence structure.

In both cases, the student remains actively involved in the learning process.

The distinction is between using AI to strengthen understanding and using it merely to complete a task. Its effectiveness should therefore be assessed through students' ability to explain concepts, solve unfamiliar problems and apply knowledge independently, rather than through faster assignment completion or higher homework marks alone.

What the reported findings tell us

The available figures from the China-based study point to a possible gap between performance with technological assistance and achievement under independent assessment.

• Study location: China
• Duration: Six months
• Reported homework-score change: 18% increase
• Reported in-class examination-score change: 20% decrease
• Evidence limitation: The study had not been peer-reviewed at the time of reporting.
• Relevance to India: The findings raise questions about AI adoption, teaching practices and assessment, but do not establish the same effects among Indian students.

The figures should be treated as preliminary findings from one study, not as a universal pattern or definitive proof that AI weakens learning.

AI must strengthen learning, not replace thinking

Generative AI offers new ways for students to access explanations, practise skills and receive feedback. However, its growing presence in education makes it increasingly important for teachers and institutions to distinguish between completing assignments and developing lasting knowledge.

For Indian schools and universities, the priority should be to integrate AI in ways that strengthen independent reasoning, writing, problem-solving and genuine understanding. Teachers, students and institutions all have a role in ensuring that technology complements effective instruction rather than replaces the learning process.

The central question is not simply whether AI can help students achieve higher scores, but whether it equips them with the knowledge and skills to succeed independently.