Models are the core of scientific theory. Some researchers have argued that modeling is fundamental to scientific inquiry (e.g. Clement, 2000). There has been increased literature on how to use inquiry and modeling for science learning. However, challenges still exist. For example, how do different modeling tools and learning activities shape student learning trajectories? How do they impact st...

Under what conditions are graduate students most likely to learn? How do we, as teachers, best create those conditions? The answer to these questions was the focus of this study whereby 91 masters’ students identified learning tasks that were most and least engaging. A model utilizing affective, behavioral and cognitive attributes was developed to measure graduate student engagement in learning...

Traditional Web-based educational systems still have several shortcomings when comparing with a real-life classroom teaching, such as lack of contextual and adaptive support, lack of flexible support of the presentation and feedback, lack of the collaborative support between students and systems. Based on the educational theory, personalization increases learning motivation, which can increase ...

User models are essential to e-learning systems, giving students learning continuity, tutors evidence of students' progress, and both a way to personalize students' learning materials to their abilities and preferences. Personalizing information has long been the motivation behind developing e-learning systems. Adaptive educational systems attempt to maintain a learning style profile for each s...

This paper describes an exploratory study investigating the impact of problem-based learning and clicker technology as active learning strategies at the American University of Sharjah Library, United Arab Emirates (UAE). Studies compared traditional and active learning classes. The present article maps the successes and challenges of these unique classroom encounters, and through correlation of...

The question of how to best design an online course that promotes student-centred learning is an area of on-going research. This mixed-methods study focused on a section of advanced high school students, in college-level mathematics courses, that used a synchronous online environment mediated over web-conferencing software, and whether the affordance of multiple communication channels and stude...

This paper describes an application of machine learning to student modelling. Unlike previous machine learning approaches to student modelling, the new approach is based on attribute-value machine learning. In contrast to many previous approaches it is not necessary for the lesson author to identify all forms of error that may be detected or to identify the possible approaches to problem solvin...