Rodriguez M. E., Guerrero-Roldan A. E., Baneres D., Karadeniz A.

12th Annual International Conference of Education, Research and Innovation (ICERI), Sevilla, Spain, 11 - 13 November 2019, pp.5136-5145 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Sevilla
  • Country: Spain
  • Page Numbers: pp.5136-5145
  • Keywords: Intervention mechanisms, learning management system, predictive analytics, learning intelligent system, learning analytics, e-assessment, feedback, e-learning, DROPOUT PREDICTION, AT-RISK
  • Anadolu University Affiliated: No


The main goal of this paper is to provide an intervention mechanism embedded into a learning intelligent system in order to support learners to succeed in their learning process in online learning environments by using feedback and predictive analytics. The system, named Learning Intelligent System (LIS), is currently under development in the context of a 3-year project at the Universitet Oberta de Catalunya (UOC). In order to fulfill this objective, to begin with, different types of intervention measures will be identified and reviewed. Following this, an evaluation of these intervention mechanisms will be provided taking into account the requirements and data available at UOC. This evaluation will allow the design of an intervention mechanism to be implemented in LIS system. The contribution of this paper is based on the design and application of an intervention mechanism through LIS system which will help teachers, but mainly learners to succeed in their online courses. By predicting their success rate using data from the system, and the provision of feedback, the system will help and encourage learners to achieve their learning goals, and consequently their courses certification. The findings will contribute, not only improving the teacher-learning process at UOC, but also in many other blended and online environments.