Project Name: Building feedback literacy to support student retention: Addressing early disengagement in first-year units
Project Description: This project addresses first-year student attrition linked to low engagement and limited exposure to formative feedback by redesigning assessment into a process-based submission model. In Semester 1, 2026, Assessment 1 will be structured into two staged components (1A and 1B) within Cadmus, enabling early drafting, targeted in-class feedback, and low-stakes submission before census date. Grounded in feedback literacy principles of Carless & Boud (2018), the design promotes early engagement, motivation, and students’ ability to interpret and apply feedback. The initiative supports equity through scaffolded assessment and aligns with FLB and ACU priorities to enhance student retention, progression, and success, with outcomes evaluated through student performance and engagement data.
Name(s): Samantha McKee & Victoria Obeng
Project Name: Back on Track: Just-in-Time Feed-Forward and Early Programming Support in ITEC102
Project Description: This project implements a targeted “Back on Track” intervention in ITEC102 (Python Fundamentals for Data Science), a first-year unit with high variability in early engagement. The initiative integrates three strategies in Weeks 2–5: Just-in-Time micro-feedback via Canvas pulse checks, feed-forward coding guides with exemplars and debugging videos, and early personalised outreach to at-risk students. The aim is to improve early submission rates, reduce disengagement, and build confidence in foundational programming skills. Impact will be evaluated through submission rates, quiz performance, student feedback, and Canvas analytics. The project aligns with ACU priorities to support early intervention, retention, and student success in first-year units.
Name(s): Farshid Keivanian
Project Name: Staying on Track: LMS‑Driven Early Alerts and Weekly Quizzes to Support First‑Year Success
Project Description: This project introduces a proactive, evidence-based intervention to enhance retention and academic success in ITEC100, a core first-year unit. Using learning analytics, students showing early signs of disengagement are identified and supported through weekly knowledge-check quizzes aligned with unit content. These quizzes provide immediate formative feedback and are paired with personalised outreach to encourage participation, rebuild confidence, and re-establish study habits. The approach offers a low-barrier re-entry point for students at risk of falling behind. Impact will be evaluated through engagement analytics, quiz participation, assessment performance, and retention indicators, supporting ACU’s commitment to early intervention, equity, and student success.
Name(s): Kamanashis Biswas
Project Name: Interaction within Interaction: Assessment through Presentations with Audience Interaction as Authentic Assessment in the AI era
Project Description: This project enhances Assessment Task 1 in ECON600, a postgraduate unit with a diverse international cohort, by building on an innovative presentation-based design. Students deliver presentations using recently taught content, balancing cognitive load and promoting timely feedback for both peers and the lecturer. The assessment also integrates responsible use of generative AI, requiring verifiable data, live defence of claims, and disclosure of AI prompts. The project seeks to extend this design through multi-agent AI support for assessment processes and a real-time audience response platform to increase peer engagement. This approach aims to strengthen feedback quality, critical thinking, and inclusive participation.
Name(s): Andrea Giovannetti
