There’s Gold in the Clickstream: Personalizing Learning with Real-Time Analytics
Start Date
10-11-2016 10:45 AM
End Date
10-11-2016 11:30 AM
Description
Modern learning environments incorporate numerous educational technology tools designed to aid student learning in and outside of traditional classrooms, but few integrate real-time clickstream data from learning systems with students’ external profile information and real-world behaviors. The goals of UK’s real-time learning analytics project include increasing student success through proactive and/or predictive interventions, particularly for underserved and at-risk populations; personalizing instructor/student interactions in large lecture courses; and contributing to collaborative development of industry standards in real-time analytics architecture through partnerships with the IMS Global Learning Consortium, Instructure, Echo360, and others. The information provided in this session will help IT professionals and educators consider the potential value of this type of system by facilitating discussion and idea-generation about how it could be used in their own institutions and classrooms. Following a short presentation on the architecture of UK’s learning analytics systems, we’ll run a mini “design jam” during which participants will break into small groups to create potential use cases appropriate for their institution, describe target students, select data for building appropriate message triggers, identify critical components of the personalized message, and consider strategies and challenges for assessing impacts of personalized messaging on student learning outcomes.
There’s Gold in the Clickstream: Personalizing Learning with Real-Time Analytics
Modern learning environments incorporate numerous educational technology tools designed to aid student learning in and outside of traditional classrooms, but few integrate real-time clickstream data from learning systems with students’ external profile information and real-world behaviors. The goals of UK’s real-time learning analytics project include increasing student success through proactive and/or predictive interventions, particularly for underserved and at-risk populations; personalizing instructor/student interactions in large lecture courses; and contributing to collaborative development of industry standards in real-time analytics architecture through partnerships with the IMS Global Learning Consortium, Instructure, Echo360, and others. The information provided in this session will help IT professionals and educators consider the potential value of this type of system by facilitating discussion and idea-generation about how it could be used in their own institutions and classrooms. Following a short presentation on the architecture of UK’s learning analytics systems, we’ll run a mini “design jam” during which participants will break into small groups to create potential use cases appropriate for their institution, describe target students, select data for building appropriate message triggers, identify critical components of the personalized message, and consider strategies and challenges for assessing impacts of personalized messaging on student learning outcomes.