From Assessment to Authentic Learning: A Tripartite Model for Reframing Learning and Evaluation in the Age of AI

This presentation shares a project initiative that reframes assessment as a catalyst for authentic learning in response to the growing presence of artificial intelligence in higher education. While artificial intelligence brings new possibilities for enhancing learning processes, it also challenges established approaches to evaluation, particularly in relation to the authenticity of student work and the credibility of assessment outcomes. This project responds by redesigning assessment around real business challenges, positioning students, educators, and business partners as co-participants in the learning process. Grounded in the principles of authentic assessment, the initiative requires students to engage with meaningful business problems that demand applied knowledge, judgment, ethical reasoning, and reflective decision making. Rather than restricting the use of artificial intelligence, the assessment design emphasizes when and how student capabilities are exercised alongside digital tools. Creativity, critical thinking, adaptability, teamwork and professional judgement are foregrounded as essential learning outcomes that remain distinct from automated generation. The session begins by discussing why industry collaboration is central to sustaining learning tasks that are credible, relevant, and resistant to superficial task completion. The presentation outlines the objectives of the project, the roles of participating groups, and key features of the assessment design. Attendees will be guided through the planning and execution of the assessment process, illustrated through diagrams and process mappings that present an overall view of learning activities, observation points, reflection stages, and evaluation mechanisms. Examples of assessment tasks, reflective activities, feedback instruments, and selected project visuals will be shared to support understanding of how authentic assessment is implemented in practice. The session concludes with a critical reflection on the strengths and limitations of the project, drawing on data collected from student feedback surveys, partner feedback forms, qualitative interviews, and structured discussion meetings. Findings indicate that students develop applied knowledge, confidence, and employability related capabilities through engagement with authentic challenges. Educators gain insights that inform ongoing curriculum refinement, while business partners contribute professional perspectives and in turn learn from students’ creativity and emerging digital competence. Together, the tripartite model demonstrates how authentic assessment can support lifelong learning across all participants in the age of artificial intelligence.