Conference Objectives
The general and strategic objectives of the conference
General Objectives
The conference aims to discuss recent developments in applying artificial intelligence to improve the quality of higher education, review successful international experiences, and exchange research and academic expertise on ways to ensure and develop new quality mechanisms that keep pace with the rapid digital transformation of education.
It further aims to highlight the latest scientific and technical mechanisms for improving academic and administrative quality, explore the impact of AI on the work of quality offices and departments, identify current challenges, and offer practical, implementable solutions aligned with national and international quality standards.
Strategic Objectives
- 1 Highlight the role of AI applications in developing and improving the quality of higher education.
- 2 Assess the current application of quality and academic accreditation standards in universities amid digital transformation.
- 3 Review the latest international trends and experiences in using AI to enhance the quality of university education.
- 4 Discuss the challenges facing higher education institutions in applying quality standards in a digital environment, and propose practical solutions.
- 5 Strengthen scientific cooperation and the exchange of expertise among researchers and academic institutions in quality and AI.
- 6 Produce practical recommendations that contribute to developing quality policies and supporting research and innovation in higher education.