Secure Cloud based Process-Oriented Teaching-Quality Approach in Higher Education with General AI

The integration of General AI with secure cloud-based technologies offers transformative potential for enhancing teaching quality in higher education. This paper explores a process-oriented approach that combines advanced AI capabilities with robust cloud infrastructure to address contemporary challenges in educational institutions. By focusing on systematic instructional design, data-driven decision-making, and stringent security measures, this framework aims to improve pedagogical practices, streamline administrative processes, and safeguard sensitive information. The study evaluates the impact of various AI technologies on teaching quality and student satisfaction, highlighting significant improvements in personalized learning, automated grading, and predictive analytics. The findings suggest that AI-driven solutions not only enhance educational outcomes but also contribute to greater operational efficiency and data security. This innovative paradigm provides a comprehensive model for modernizing higher education through secure, scalable, and process-oriented approaches.