Abstract
The paper addresses the issue of low retention rates in online learning by putting forward the creation of an e-learning ecosystem that takes into account the ways in which humans learn and focuses on collaboration and the use of AI algorithms. The research highlights the importance of understanding human perception and actor network theory in designing effective e-learning systems. Collaboration is seen as a key component of successful e-learning, and the research suggests the use of virtual collaboration tools and e-learning platforms that provide opportunities for group discussion and real-time collaboration. One of the challenges identified is the need for greater transparency and explainability in AI algorithms, and the research proposes questions to consider in addressing this issue. The research approach involves using software such as Moodle and Neo4J to develop a framework for the e-learning ecosystem, with a focus on creating an intelligent system that follows users through their learning journey and presents information in a way that is easily understood by humans. Overall, the research aims to provide a solution to the low retention rates in online learning by focusing on collaboration, the use of AI algorithms, and the design of effective e-learning systems that take into account the ways in which humans learn.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Considering Digital Pedagogies
KEYWORDS
Online learning, Retention rates, E-learning ecosystem, Human perception, Actor network
