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Overview This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention
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of analytical data to guide the generation of highly accurate 3D/2D molecular graphs or SMILES representations. Research Aims and Objectives This project aims to develop a robust, data-efficient deep learning
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feedback analytics! Project description: The ability to understand and act on feedback is one of the most powerful drivers of learning success. Despite decades of research affirming the value of feedback, it
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from
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. If successful, you will join Dr. Roberto-Martinez Maldonado, Prof. Dragan Gasevic, and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University
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research strengths and initiate an application, all in one place. Browse Research projects Honours and Masters project Supervisors Login Recently added Quantum-Enhanced Learning Analytics for Adaptive Early
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, venues, caterers and other event suppliers as well as stakeholders. With strong analytical and problem-solving abilities, your ability to ‘think outside the box’ and use your creative flair will help you
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analytical support to centralised assessment operations, ensuring integrity is upheld through rigorous investigation, reporting, and quality assurance. With a strong focus on accuracy and process excellence
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of the digital systems that underpin MARP’s operations, compliance obligations and service delivery. This is an opportunity to apply your technical expertise, analytical mindset and collaborative approach in a
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initiate an application, all in one place. Browse Research projects Honours and Masters project Supervisors Login Recently added Quantum-Enhanced Learning Analytics for Adaptive Early Intervention in Higher