Regresar

Discovering Interaction Patterns on the Use of OERs in Open Online Courses Through the Application of Association Rules

Abstract:

The use of technological tools through the Web allows collection of different information types about the activity and interaction generated in learning environments. In case of open online courses, each time a participant interacts leaves a fingerprint. This information can be harnessed and processed in search of different elements that contribute to improvement online open courses. Open Campus initiative, technologically based on the Open EdX platform, offers teachers a space to design new uses for learning applications. This architecture allows use of data to perform different kind of analysis such as using machine learning techniques, approach of this work. In this article, a process of data selection, analysis and recognition of participants interaction patterns through use machine learning technology is presented. This process aims to identify students' behaviors regarding the use of educational resources to alerts the teaching team to make decisions and improve their course's new editions.