The CoSector Digital Learning team have partnered with IntelliBoard, the premier SaaS solution for reporting and analytics provider for the Moodle™ LMS and Moodle Premium Integrator.
Users of the Moodle LMS now have access to expanded reporting and analytics capabilities, provided by IntelliBoard, to inform their educational business decision-making. IntelliBoard provides expanded reporting functionality, personalisation, dashboard templates, conditional notifications and an AI assisted search function. Expanded features allow LMS users to validate eLearning efforts through user-friendly, on-demand, real-time insight and improve workflows.
James Silcock, Commercial Director for CoSector, stated: "Partnering with IntelliBoard will allow CoSector – University of London to offer a smarter and much-needed solution for our Digital Learning customers to monitor and report on the learning experience of their students, as well as providing improved insights on the overall performance of their Digital Learning Platform."
Dr. Tonya Riney, EVP, IntelliBoard stated, “We started providing reporting and analytics to the University of London in 2019, and we are thrilled to be able to introduce the reports, monitors, dashboards, and every other beautiful piece of data to everyone throughout the system." She continued, "IntelliBoard allows real-time data to influence the learning of students, and contributes to the educational process."
- Greater flexibility and customisation - IntelliBoard users have the ability to customise views based upon admin-defined organisational roles within their respective institutions, e.g. manager, supervisor, division chair. Options are limitless.
- AI assisted search - LISA, Learning Intelligence Search Automation, allows users to type queries using natural language. LISA returns instant results, and goes further by identifying existing reports that may help to inform the user's search for data.
- Conditional event notifications - CEND, Conditional Event Notifications Dashboard, creates customised notifications based upon conditional events, such as "learner spent less than [x] time in courses," "learner site inactivity," or "learner grade below class average."