This paper describes how learning styles relate to visual attention in eLearning environments. In this study, eye gaze of participants was recorded as they interacted with an eLearning module and their comprehension was examined as well as their individual learning style. Findings suggest that learners differ in their visual attention distribution according to their learning style. Verbal learners allocate attention to textual content more than multimedia, and visual learners scan the text and direct more attention to multimedia elements than textual content on the screen. Design implications for eLearning environments are discussed
The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in...
Learner style data is increasingly being incorporated into adaptive eLearning (electronic learning) ...
The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in...
This paper describes how learning styles relate to visual attention in eLearning environments. In th...
This paper describes how learning styles relate to visual attention in eLearning environments. In th...
Adapting the presentation of learning material to the specific student’s characteristics is useful t...
Adapting the presentation of learning material to the specific student’s characteristics is useful t...
Adapting the presentation of learning material to the specific student?s characteristics is useful t...
In drive of inspecting user behaviour in an adaptive eLearning system, we investigate the eye gaze m...
This dataset presents the gaze path and fixation data generated by different types of learners while...
Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tra...
Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tra...
In order to seek best practice in e-learning design, doctoral research was conducted to identify the...
Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tra...
Learner style data is increasingly being incorporated into adaptive eLearning (electronic learning) ...
The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in...
Learner style data is increasingly being incorporated into adaptive eLearning (electronic learning) ...
The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in...
This paper describes how learning styles relate to visual attention in eLearning environments. In th...
This paper describes how learning styles relate to visual attention in eLearning environments. In th...
Adapting the presentation of learning material to the specific student’s characteristics is useful t...
Adapting the presentation of learning material to the specific student’s characteristics is useful t...
Adapting the presentation of learning material to the specific student?s characteristics is useful t...
In drive of inspecting user behaviour in an adaptive eLearning system, we investigate the eye gaze m...
This dataset presents the gaze path and fixation data generated by different types of learners while...
Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tra...
Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tra...
In order to seek best practice in e-learning design, doctoral research was conducted to identify the...
Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tra...
Learner style data is increasingly being incorporated into adaptive eLearning (electronic learning) ...
The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in...
Learner style data is increasingly being incorporated into adaptive eLearning (electronic learning) ...
The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in...