Personalizing running training with immersive technologies using a multimodal framework

Personalizing running training with immersive technologies using a multimodal framework

Journal, New Pub
To improve performance and prevent injuries, running training needs proper personalized supervision and planning. This study examines the factors that influence running training programs, and the benefits and challenges of personalized plans. It also investigates how multimodal, immersive and artificial intelligence (AI) technologies can improve personalized training. We did an exploratory sequential mixed research with running coaches. We analyzed the data and found relevant factors of the training process. We recognized four key aspects for running training: physical, technical, mental and body awareness. We used these aspects to create a framework that proposes multimodal, immersive and AI technologies to help personalized running training. It also lets coaches guide their athletes on each aspect personally. The framework aims to personalize the training by showing how coaches and multimodal learning experience agents…
Read More
How to improve Knowledge Tracing with hybrid machine learning techniques

How to improve Knowledge Tracing with hybrid machine learning techniques

Journal, New Pub
Knowledge Tracing is a well-known problem in AI for Education. It consists of monitoring how the student's knowledge changes during the learning process and accurately predicting their performance in future exercises. But how can we improve the current methods and overcome their limitations? In recent years, many advances have been made thanks to various machine learning and deep learning techniques. However, they have some pitfalls, such as modelling one skill at a time, ignoring the relationships between different skills, or inconsistent predictions, i.e. sudden spikes and falls across time steps. In our recently published systematic literature review, we aim to illustrate the state of the art in this field. Specifically, we want to identify the potential and the frontiers in integrating prior knowledge sources in the traditional machine learning pipeline…
Read More