On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study

Abstract

Abstract E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners’ involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a primary phase, the goal was to center the study and research made (background, state of the art, survey and interviews to uncover motives and behavior patterns). In an additional stage, the development, trails and validation of an operating prototype of an Intelligent Alerting System to grant and evaluate concepts, gather statistical data on its efficiency, explore and detect if course accomplishment rates did actually improve. The results measured the effectiveness of learning (accomplishment and dropout rates) before and after the application of the proposed solution. Finally, some related work is considered, as well as emerging commercial solutions are compared with the proposed solution.

Keywords

• E-learning
• Dropout
• Behavioural patterns
• At-risk students
• Intelligent alerting system
• Prototype