Maintaining Assessment Validity in the GenAI Era: Insights from Human-Machine Interaction

Generative Artificial Intelligence (GenAI) has been altering the way that educational institutions and businesses operate. Leveraging the significant opportunities of GenAI and addressing its challenges are essential for institutions to maintain the competitiveness of their graduates and educational processes. For a few decades now, human-machine interaction scholars have been investigating how humans can properly utilise machine capabilities without over-reliance. Building on these insights, this paper proposes a framework for maintaining the effectiveness of higher education assessments amid the pervasive use of GenAI. The framework incorporates these insights into its five interconnected components: assessment design, establishing an understanding of purpose and process, effective monitoring, feedback, and reflection and planning for change. The framework allows for creating the environment and culture for the responsible use of GenAI while ensuring education quality and imposing academic integrity. We present two case studies to demonstrate the applicability of the proposed framework to diverse educational requirements. Our findings demonstrate how the framework facilitates fostering student creativity while maintaining confidence in the validity of the assessment system.