Assessing learner’s distraction in a multimodal platform for sustained attention in the remote learning context using mobile devices sensors

During a learning task, keeping a steady attentive state is detrimental for good performance. A person is subject to distraction from different sources, among which distractions originating from within him or herself or from external sources, such as ambient sound. The detection of such distraction can improve the effectiveness of a task by...

Tracking Sustained Attention with Webcam-Based Eye Gaze and Blink Tracking

Sustained attention is a cognitive state where the learners’ attention is completely focused on the learning environment and content-related thoughts for a continuous stretch of time. Sustained attention is vital to perform well on learning tasks, such as reading. Learning analytics platforms that detect changes in sustained attention can...

Multimodal learning analytics on sustained attention by measuring ambient noise

In this research, a learner’s sustained attention in the remote learning context will be studied by collecting data from different sensors. By combining the results of these sensors in a multi-modal analytics tool, the estimation of the learner’s sustained attention can hopefully be improved. This research will mainly focus on microphone...

Camera-based face and infrared temperature sensing of learner's affective state in the remote learning context using machine learning

Remote learning, learning from home using online available materials, is becoming increasingly more common. This paper focuses on reading activities during remote learning. An important part of learning is keeping sustained attention on the learning materials, as a shift from sustained attention to internal thought or mind-wandering oftentimes...