AI-Assisted Educational Design: Academic-GPT Collaboration for Assessment Creation

Abstract

Generative Artificial Intelligence (GenAI) presents a game-changing opportunity to enhance academic work. This paper focuses on how academics can collaborate with GenAI to create and deliver high-quality assessments that provide a rich and engaging learning experience for students. We developed a framework to demonstrate how the collaboration between academics and GenAI can be modelled to develop practical hands-on assessments for an AI for Business Information Systems course. The Academic-GPT collaboration framework follows a design-build-test-learn approach. The assessment development using this framework incorporates sound pedagogical principles, including alignment with academic program learning outcomes and professional accreditation. The outcomes demonstrate that academics can collaborate with GPT to add value to the creation of assessments that are current, relevant, and grounded in pedagogical principles. We believe our framework for modelling academic and GenAI collaboration in developing current, relevant, and pedagogically sound assessments will provide authentic and engaging learning experiences for students.

Keywords: AI in Education, Generative Artificial Intelligence (GenAI), Generative Pre-trained Transformer (GPT), Large Language Model (LLM), Human-AI collaboration, educational content creation