Responsible use of Artificial Intelligence in Quality Assurance for Education: Opportunities and Challenges
TL;DR
It is concluded that academic institutions must use clear ethical practices and AI-aware assessment designs to ensure that technology is used as an assisting tool that improves users' learning while ensuring the fundamental values of education.
Abstract
Abstract - The rapid integration of Generative Artificial Intelligence (Gen AI) is fundamentally transforming the higher education landscape. It is necessitating an alteration of traditional examination-based models to constant, skill-oriented assessment. The AI tools provide customized learning platforms and increase productivity. They also present severe challenges related to academic integrity, the authenticity of student work, and the potential to reduce critical thinking skills. This study suggests the responsible use of AI in educational quality assurance structures through a structured survey of students, educators, and parents. The research reveals a high level of AI adoption, with most respondents using these tools daily, primarily to understand complex findings. However, important concerns regarding trust and the accuracy of AI-suggested content. A substantial portion of stakeholders advocate for redesigning assessment methods to focus on higher-order cognitive skills—such as analysis, creativity, and problem-solving—rather than simple content creation. The paper concludes that academic institutions must use clear ethical practices and AI-aware assessment designs to ensure that technology is used as an assisting tool that improves users' learning while ensuring the fundamental values of education. Key Words: Artificial Intelligence (AI), Generative AI (GenAI), New Education Policy (NEP), National Curriculum Framework (NCF)