Learner categorization has a pivotal role in making e-learning systems a success. However, learner characteristics exploited at abstract level of granularity by contemporary techniques cannot categorize the learners effectively. In this paper, an architecture of e-learning framework has been presented that exploits the machine learning based…

Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…

Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement…

Presents a detailed analysis of courseware design activities based upon the use of conceptual data models for content elaboration. Highlights include discussions of computerized training systems, authoring languages and authoring systems, and the distinction between processing and data. (Author/LRW)

To determine the number and current use of microcomputers in Alberta's elementary, junior, and senior high schools, a total of 1,509 schools were surveyed. The results, as reported by 1,271 schools (84.2%), showed the total number of microcomputers to be 13,748. To provide more in-depth information, schools were categorized by six instructional…