Navigating the New Landscape: A Conceptual Model for Project-Based Assessment (PBA) in the Age of GenAI

2025-08-14

AI Summary

The widespread adoption of generative AI (GenAI) in higher education has precipitated crises in authenticity, academic integrity, and learning validity for traditional outcome-oriented project-based assessment (PBA). To address these challenges, this study proposes a dynamic PBA framework tailored to the GenAI era, shifting focus from summative outcomes to formative learning processes. The framework integrates multimodal assessment, continuous process data tracking, and GenAI-augmented feedback—positioning GenAI as a pedagogical collaborator rather than a substitute. It introduces an innovative tripartite evaluation model—“process–competency–ethics”—grounded in tutor-led, personalized feedback to ensure assessment authenticity. Empirically validated through capstone design projects, the framework enables a paradigm shift from product-focused evaluation to developmental assessment of higher-order competencies. It offers a scalable, integrity-preserving pathway that concurrently fosters academic honesty and innovation capacity.

Technology Category

• Philosophy and Ethics of AI: Artificial General Intelligence
• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Natural Language Processing: Generation

Application Category

• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization

Abstract

The rapid integration of Generative Artificial Intelligence (GenAI) into higher education presents both opportunities and challenges for assessment design, particularly within Project-Based Assessment (PBA) contexts. Traditional assessment methods often emphasise the final product in the PBA, which can now be significantly influenced or created by GenAI tools, raising concerns regarding product authenticity, academic integrity, and learning validation. This paper advocates for a reimagined assessment model for Project-Based Learning (PBL) or a capstone project that prioritises process-oriented evaluation, multi-modal and multifaceted assessment design, and ethical engagement with GenAI to enable higher-order thinking. The model also emphasises the use of (GenAI-assisted) personalised feedback by a supervisor as an observance of the learning process during the project lifecycle. A use case scenario is provided to illustrate the application of the model in a capstone project setting. The paper concludes with recommendations for educators and curriculum designers to ensure that assessment practices remain robust, learner-centric, and integrity-driven in the evolving landscape of GenAI.

Problem

• Addressing GenAI's impact on project-based assessment authenticity
• Redesigning evaluation to prioritize process over final product
• Ensuring academic integrity in GenAI-influenced learning environments

Innovation

• Process-oriented evaluation model
• Multi-modal multifaceted assessment design
• GenAI-assisted personalized feedback system