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Subject: AI
Using AI to develop a Concept Inventories for CS Education
Concept inventories are research-based multiple-choice tests that are used in educational settings to measure a student’s knowledge of a set of concepts while also capturing conceptions and misconceptions they may have about the topic under consideration. They provide useful information for students, lecturers and educational researchers. For example, they can provide lecturers with a measure … Read more
Personalised Federated Learning
Federated learning is used in distributed collaborative networks where multiple clients coordinate to train AI models without the need to share raw data. This is advantageous in a number of settings; for example; in health care where there are privacy/ethical issues associated with sharing data across multiple sites and in IoT networks where the sharing … Read more
Privacy-preserving disease prediction using homomorphic encryption and federated learning
The advent of IoT devices led to the creation of many different, distributed machine learning techniques to identify patterns and make logical decisions based on the large volumes of data generated. Traditionally, these devices readily shared their raw data with a centralised server. However, this sharing of raw data is not conducive to maintaining the … Read more