Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…

Considers transitions from naive realism to formal mathematical modeling, using a Direct Manipulation Environment for Newtonian Mechanics. Highlights include a case study of pre-university students in the United Kingdom; the interplay of mathematical reasoning, modes of interaction with technology, and setting; and comparisons between direct…

The purpose of this article is to identify the difficulty of learning materials in the network by using learner's portfolio in the asynchronous learning system. Asynchronous learning takes the advantage of information technology that records the learning portfolio of the learner. The data of the learning portfolio reflects the characteristics of…