Can student AI-use policies help beginners or mainly benefit experts?

Why beginners benefit most from AI policies

Beginners lack the experience to judge when AI use is appropriate, so clear policies act as a safety net. A 2023 survey of 201 university students in Croatia found that over half (more than 50%) used ChatGPT for written assignments, but their ethical perceptions were inconsistent: most thought using AI to generate ideas was acceptable, while using it to write parts of an assignment was widely seen as unethical—yet some students still did it anyway [5]. This gap between what students think is wrong and what they actually do shows that beginners need explicit rules to guide their choices, not just vague advice.

Policies that involve students in their creation are especially effective for beginners. A case study at Georgetown University had first-year writing students co-draft an AI policy with faculty, and student reflections showed that the process itself taught them key concepts about AI and academic integrity [4]. This hands-on approach helps beginners understand the 'why' behind the rules, not just the 'what.'

Experts may need policies less—but still benefit from structure

Experts, such as advanced students or those with AI training, already have the awareness and ethical frameworks that policies aim to teach. A 2026 study of 864 undergraduate sport-science students developed a validated scale to measure AI literacy, finding that students varied widely in their AI awareness, ethical practices, and trust in AI tools [1]. The scale's four domains—Awareness, Ethics & Disclosure, Trust & Verification, and Course Expectations—show that beginners score lower on these dimensions, meaning policies that address these gaps help them catch up, while experts may already meet those standards.

However, even experts benefit from policies that create a safe environment for experimentation. Interviews with 10 leading K-12 teachers in AI education revealed that students progress through three stages: learning about AI, learning from AI, and learning together with AI [2]. Policies that support this progression—by providing instructional scaffolding and a 'safe to fail' environment—help all students, but beginners need the first stage most urgently.

Policies level the playing field between beginners and experts

Without policies, beginners are more likely to misuse AI or avoid it altogether, while experts forge ahead. A 2026 article noted that 86% of college students surveyed by the Digital Education Council used AI, but the same source highlighted that institutions are still struggling to create consistent guidelines [3]. This uneven adoption means beginners without guidance may fall behind or make ethical mistakes, while experts with prior knowledge navigate AI more effectively.

The Georgetown case study showed that co-creating policies gave beginners a voice and a structured way to learn about AI, which they might not have sought out on their own [4]. Similarly, the sport-science study's validated scale can help educators identify which students—beginners or experts—need targeted training in AI ethics and verification skills [1]. This targeted approach ensures policies don't just benefit the already-adept.

About These Sources

This answer is built on 5 peer-reviewed studies — published from 2022 to 2026, 3 from 2024 or later, 2 in Q1 journals, collectively cited 536 times — selected as the most relevant from 5 studies that passed quality screening, drawn from 53 papers retrieved from a database of over 500 million.

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