Ramesh, KavyaNguyen, Minh2025-12-012025-12-012025-11-27Proceedings of the First New Zealand IT Project Management Research Symposium: Advancing IT and Engineering Project Management. 27th November 2025, AUT, Auckland. https://pmconference.aut.ac.nz/http://hdl.handle.net/10292/20240This study investigates how AI-integrity initiatives are put into practice in higher education by focusing on IT project management, governance, and the delivery of educational technology. It explores the development of the Egg & Basket Quiz prototype as an example of technology-based learning intervention, while also addressing gaps in institutional policy and integrity. The research uses a mixed methods design to collect both quantitative and qualitative data from 25 students and 3 faculty members. The results reveal that AI is frequently used, with 72% of participants using it weekly. There is also uncertainty about institutional rules, which points to project risks related to governance, ethical compliance, and stakeholder involvement. The study is framed as a project of organizational change and digital transformation, based on PMBOK principles for managing risks and stakeholders, the Technology Acceptance Model (TAM) for user engagement, and insights from academic integrity literature. The findings show that adopting AI-integrity requires careful planning, leadership, stakeholder involvement, risk management, and step-by-step solution development, which are all key elements of IT project management. This research offers a project-management perspective on implementing ethical AI-integrity initiatives in higher education.By submitting and publishing with NZPMRS, authors retain copyright in their work but grant the NZPMRS and the Project Management Research Office a nonexclusive, worldwide license to publish and disseminate the article under the terms of the Creative Commons Attribution-NonCommercialNoDerivatives 4.0 International License (CC BY-NC-ND 4.0). This license allows others to download and share the work for non-commercial purposes, with proper attribution, but does not permit remixing, transformation, or the creation of derivative works.AI in educationacademic integrityIT project managementgovernance and riskeducational technologyConference Contribution