Displaying 1 - 10 of 298 honours projects.
Project background
Computing graduates are expected to possess more than technical skills. Industry increasingly values capabilities such as communication, teamwork, leadership, conflict resolution, stakeholder engagement, and project management. However, these skills are often taught separately, making it difficult for students to understand how they connect in professional practice.
Online learning environments provide students with access to a wide range of learning resources, including learning management systems (LMS), discussion forums, recorded lectures, assessments, and AI-supported learning tools. However, relatively little is known about how students navigate between these resources, how knowledge shared in one platform is transferred to another, and which patterns of engagement are associated with effective learning.
Generative AI chatbots are increasingly being adopted in higher education to support student learning and provide timely responses to questions. Within the Faculty of Information Technology at Monash University, AI-powered chatbots have been integrated into Ed Discussion (Ed Forum) for several units to assist teaching teams in managing online discussions and supporting student engagement.
This project addresses a clear and urgent research problem situated at the intersection of technology adoption, academic labour, and equity.
Game-based learning is increasingly used in Computing education to encourage active participation, collaboration, problem-solving and application of technical and professional knowledge. Activities can range from low-cost classroom games such as Jeopardy-style quizzes, Bingo and team challenges to sophisticated digital simulations in which students make decisions and experience their consequences.
Teamwork is a critical graduate capability in computing education, yet students often receive little meaningful feedback about how they collaborate until a project has finished. This limits opportunities for teams to identify issues early, improve their collaboration, and develop teamwork skills throughout the semester.
This is a Summer Student Research Internship advert, running for 10-12 weeks over the summer break.
There is scope for this work to continue as an honours or minor thesis project afterwards. If you are interested in that, particularly the immersive visualisation side, please get in touch.
(Note that summer and winter student internships must be applied for here: https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter)
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Please note this advert is for a Summer Research Internship. It is not currently an advertisement for an honours or masters thesis project.
Please note you can ONLY apply for this internship via the internship application form.
Internship Project: https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter
This project develops a distributed digital twin framework for smart grid data monitoring and analytics. The research focuses on simulating and emulating smart grid environments to enable real-time monitoring, intelligent data processing, and predictive analytics. By integrating distributed computing, digital twin technology, and adaptive resource management, the framework aims to improve the scalability, reliability, and efficiency of smart grid operations while supporting data-driven decision-making and proactive system maintenance.
This project aims to develop a lightweight YOLO-powered digital twin framework for real-time air traffic monitoring using airport surveillance cameras. The research investigates how computer vision techniques can be integrated into a digital twin capable of representing aircraft locations, movement trajectories and traffic flow in near real time.