Now showing items 1-6 of 6
Improving Security in Bring Your Own Device (BYOD) Environment by Controlling Access
With the rapid increase in smartphones and tablets, Bring Your Own Devices (BYOD) has simplified computing by introducing the use of personally owned devices. These devices can be utilised in accessing business enterprise ...
The Effects of Task Demand and External Stimuli on Learner's Stress Perception and Job Performance
Over the past decades, research in affective learning has begun to take emotions into account, which advocates an education system that is sentient of learner’s cognitive and affective states, as learners’ performance could ...
Conceptual Motivation Modeling for Students with Dyslexia for enhanced Assistive Learning
Students with dyslexia often suffer from the lack of academic self-worth and frustration that can even lead to learned helplessness. However, few studies have investigated the impact of incorporating users’ motivational ...
Combining Supervised and Unsupervised Learning to Discover Emotional Classes
Most previous work in emotion recognition has fixed the available classes in advance, and attempted to classify samples into one of these classes using a supervised learning approach. In this paper, we present preliminary ...
The effects of typing demand on learner's Motivation/Attitude-driven Behaviour (MADB) model with mouse and keystroke behaviours
It would be desirable to have an automated means of assessing a learner's motivation and stress levels in an e-learning system, which would give impact on his or her learning performance. This preliminary research examines ...
Class discovery from semi-structured EEG data for affective computing and personalisation
Many approaches to recognising emotions from metrical data such as EEG signals rely on identifying a very small number of classes and to train a classifier. The interpretation of these classes varies from a single emotion ...