Abstract
Based on a Design Based Research approach, this project investigates the development and effectiveness of interventions designed to promote the integration of academic and artificial intelligence (AI) literacy activities and resources within postgraduate coursework at Murdoch University. Focusing on a core post graduate transition Engineering unit, the study aims to evaluate the efficacy of AI enhanced activities within the unit through a collaborative effort between the academics of the Support for Learning team and Engineering Lecturers. Focused on the instructional activities surrounding a literature review proposal, including guidelines for AI-assisted activities to scaffold academic writing and research skills, the assessment design includes both secure and open submissions. A major goal of the project is to evaluate the effectiveness of these activities and resources in developing academic and AI Literacies, from a student point of view. The project explores how students engage with academic and AI literacy activities, and how these experiences influence their ability to produce authentic written work and use AI tools ethically and effectively. The research employs a mixed-methods data collection approach, involving surveys and semi-structured interviews. The findings will inform future curriculum design and support services, contributing to broader efforts to enhance student transitions, academic capabilities, and responsible AI use across disciplines at Murdoch and beyond.