Abstract
A warning messages and recommendation system for an E-Learning system is proposed, the goal is to identify which students are likely to have a poor academic performance, and give them timely feedback by showing alerts and recommended material. The proposed system uses a set of profiles previously identified by a student profiling model, using socio-economic (age and gender) and web navigation data on the system (number of accesses to resources, percentage of accesses in class, average absence time and average session length). Each profile is analyzed and a warning message is assigned to each one; also, the sequences of consultations performed by students with a high academic performance are recognized and used to choose which resources are recommended. Based on the sequence performed by a student in a current session, the platform may recommend access specific resources
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
