Written evidence for Education Committee, The use of Artificial Intelligence and EdTech in Education inquiry

I. AI/EdTech can substantially improve educational outcomes in business/marketing HE when embedded as hands-on lab learning and authentic assessment that requires students to demonstrate reasoning through evidence approach, reflection and ethical evaluation.
II. The greatest risk is implementation variance where AI/EdTech integration depends on individual instructor/educator capabilities and or institution infrastructure readiness.
III. Inequality in access to AI-powered tools and platforms creates a digital divide. Students without exposure to advanced tools may fall behind in competitive job markets, particularly in tool-mediated disciplines like marketing.
IV. A further risk is the capability gap: instructors may strain to keep up with rapid AI changes, leading to outdated or ineffective teaching and inconsistent assessment design without structured CPD and governance.
V. Over-reliance on automation can reduce critical thinking and creativity if AI handles most decision-making; the policy response should be “human-in-the-loop” teaching and assessment that rewards reasoning rather than output/content.
VI. Effective policy should shift the equation system from detection to design: authentic assessment patterns, clear AI-use policy, staff capability-building, equitable access models, and quality assurance processes should be aligned with the HE quality assurances.