ARION: A Digital eLearning Educational Tool Library for Synchronization Composition & Orchestration of Learning Session Data

Abstract

In the last decade, there has been increased use of eLearning tools. Platforms and ecosystems supporting digital learning generate a vast amount of data and information in various forms and formats. Digital repositories emerge, such as video, audio, emotional data, and data triplets of various events’ educational activities, making data management and orchestration extremely difficult. This results in evaluating learning sessions’ generated knowledge to remain unexploited. In other disciplines, such as law enforcement, various tools produce valuable data that help solve problems or improve situations by synchronizing several modalities. The data generated in educational learning sessions is an untapped treasure trove of information that can contribute to the production of essential conclusions that would be extremely difficult or impossible to produce with conventional methods and without the use of digital tools. ARION combines learning data into simple and understandable forms of information that will lead the teacher to a better understanding of the strengths and weaknesses of students, the lesson, the educational process, and himself by providing a critical look at available data aimed at a substantial improvement of all components of the learning path.

Keywords

• analyzing eLearning
• educational data orchestration
• multimodal material
• learning analytics