To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

Through profiling and matching processes, technology provides individuals with information that becomes redundant to their previous beliefs, attitudes and preferences. The emergence of informational redundancies encouraged by some technologies is likely to influence the way knowledge is constructed by individuals in these settings. In this paper,…

e-Learning is bringing training to the attention of upper management in a way that other learning technologies have never done. Web-based training will remain predominant to the design and delivery of workplace learning in the 21st century because of its advantages over traditional classroom-based training. A comprehensive framework that…