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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 the effects of typing task demand on Motivation/Attitude-driven Behavior (MADB) model. The model is adapted from what was proposed by Wang [1], which is used to describe how the...
A modern Intelligent Tutoring System (ITS) should be sentient of learner's cognitive and affective states, as learner's performance could be affected by motivational and emotional factors. It is important to design a low-cost and unobtrusive computational method for ITS to determine learner's states automatically. The automated learner's data sensing is useful in the development of personalized e-learning...
One should not ignore the fact that affect (or emotion) plays an important role in cognition and learning. For instance, badly designed interface brings negative impact on user's performance if the user does not find enjoyment in his or her overall experience with the system. Automatic analyses of user behaviour in adaptive e-learning system development is important and it would be good to have an...
Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or intrusive as special setups of equipments are needed. Some researchers have utilized non-intrusive methods by using mouse or keyboard analyses and presented comparable effectiveness in detecting...
Automated stress detection is important in developing adaptive e-learning systems. Empirical evidence suggests that mouse dynamics and keyboard dynamics analyses can be both effective in user behaviour modelling as well as emotion detection compared to physiological measures and facial expression recognitions, and yet they are far less expensive and considered non-intrusive. This paper investigates...
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