Sub-theme 1: Academic Integrity and Authentic Evaluation in the Age of AI

This theme focuses on the evolving definition of academic integrity as educational environments adapt to generative AI technologies. Key areas of interest include:

• Transitioning from conventional monitoring to intentional, innovative evaluative designs (e.g., project-based assessments, real-world applications).
• Centering evaluation on advanced competencies such as critical thinking and problem-solving.
• Developing AI policies in education that balance responsible integration with institutional integrity.
• Ensuring the credibility of digital evidence and student achievements.
• Cultivating digital literacy and ethical AI usage among students and educators.

 This theme investigates the shift from procedural compliance to measuring the broader value institutions deliver to society, the economy, and their students. Key areas of interest include:

• Evolving from compliance-based auditing to comprehensive value assessment.
• Integrating well-being into quality assurance systems.
• Aligning academic outcomes with labor market demands and tracking graduate trajectories.
• Managing stakeholder expectations through transparent communication and collaborative design.
• Leveraging student-led initiatives and "reverse learning" for mutual growth.
• Measuring the community and societal impact of higher education institutions.