Learning data is being generated at an exponential rate by students, faculty, and staff. This presents unprecedented opportunities to influence student academic success and learning behavior, assist support staff with the planning of individual or group academic interventions, inform pedagogies and curriculum offerings, and effectively address recruitment, retention, marketing, and institutional effectiveness. While there are challenges in harnessing, governing, and using learning data, along with clarifying why it is collected, colleges and universities have an opportunity to collaborate and provide their collective guidance on decisions that need to be made. This is why several members of IMS Global Learning Consortium came together to outline guiding principles for institutional leaders, administrators, and other stakeholders, who are participating in ongoing dialogues specific to the gathering and usage of data. As part of an evolving playbook of resources being developed by IMS Global institutional members, this draft is designed to help academic leaders, IT directors, and practitioners reflect upon, discuss, and shape institutional and global discussions around learning data. This resource document is open for public review and comment. Led by institutional representatives who were instrumental in the articulation of these principles, this session will be an open discussion and debate about the principles and the rationale behind them. We will also explore the collaborative process used to develop these principles to inspire others to get involved and contribute to these types of collaborative efforts and share examples of other efforts in this area.
https://www.imsglobal.org/learning-data-analytics-key-principles
