Multi-inquiry hybrid e-learning: Instructor-learner experiences

A Learner Model for Adaptable e-Learning

The advancement in Information and Communication Technology (ICT) has provided new opportunities for teaching and learning in the form of e-learning. However, developing specialized contents, accommodating profiles of learners, e-learning pedagogy and available ICT infrastructure are the real challenges that need to be properly addressed for any successful e-learning system. The adaptability in...

Naturalistic inquiry in e-learning research

In this article, the author explains how and why one particular qualitative research approach, the naturalistic inquiry paradigm, was implemented in an e-learning research study that investigated the use of the World Wide Web technology in higher education. A framework is presented that situates the research study within the qualitative research literature. The author then justifies how the stu...

Multi-label Active Learning with Auxiliary Learner

Multi-label active learning is an important problem because of the expensive labeling cost in multilabel classification applications. A state-of-the-art approach for multi-label active learning, maximum loss reduction with maximum confidence (MMC), heavily depends on the binary relevance support vector machine in both learning and querying. Nevertheless, it is not clear whether the heavy depend...

Predicting Learner Knowledge Level In e E-learning Environment

Learning About the Learner: Deducing Learner Characteristics From Their Interaction with e-Learning Tools

The study seeks to explore how e-learning is tackled by learners and thus investigate how hypermedia tools help to identify specific learner characteristics. Such characteristics can be detected by means of assessing the manner in which adult learners perform in a number of given e-learning tools. The different navigating and learning strategies of individual learners will be observed. In this ...