Supporting Sensory Processing in Inclusive Learning Environments through Headphone Data (Taken)

Many learners rely on headphones during study, lectures, or group activities to manage their sensory environments. Headphones, particularly modern smart and noise-cancelling models, can provide rich streams of data such as ambient noise levels, user volume preferences, listening patterns, microphone input, and contextual metadata (e.g., location of use, duration of listening). These data can be … Read more

An Integrated Multi-Device System for Supporting Sensory Processing in Inclusive Learning (Taken)

Students in higher education frequently face challenges with sensory processing that can impact their ability to focus, engage, and collaborate. These challenges include sensory overload (e.g., from noisy lecture halls or crowded group settings), under-stimulation (e.g., fatigue, low arousal), and distraction (e.g., constant notifications). Addressing these issues is essential for fostering inclusive learning environments. Smart … Read more

Leveraging Mobile Phone Data to Support Sensory Processing and Inclusive Learning (Taken)

Mobile phones are ubiquitous in higher education and are already integrated into students’ daily routines. Beyond their role in communication, they provide a rich source of sensor data (e.g., microphone, accelerometer, gyroscope, screen interaction patterns, GPS, app usage). These data streams can act as proxies for environmental conditions (e.g., noise, movement, crowding) and user states … Read more

Enhancing Inclusive Learning through Smartwatch Data for Sensory Processing Support (Taken)

Students in higher education often encounter challenges in sensory processing that can affect their ability to fully engage in lectures, tutorials, and collaborative learning environments. Sensory overload (e.g., from noise, crowded rooms, or prolonged concentration) or under-stimulation (e.g., lack of movement, low arousal) can hinder focus, participation, and retention of information. Smartwatches provide a unique … Read more

Identifying Employability Skills in LinkedIn Profiles (Taken)

This project will look at how to assess LinkedIn profiles to identify whether the owner of the profile exhibits a set of employability skills such as reliability, common sense, commitment, motivation, enthusiasm, ability to deal with pressure, etc. The project will require an analysis of the LinkedIn features which could potentially allow users to exhibit … Read more