37 SPEC Kit 360: Learning Analytics Our efforts at learning analytics are growing, but relatively new, so sometimes procedures may be a bit lacking related to analytics—but this is something that should be articulated and documented. Procedures are carried out by staff across multiple departments across the libraries. The assessment analyst has training on all the above marked items. We have not provided official training for other staff beside IRB required trainings. However, the assessment analyst provides consultations on majority of learning analytics projects to ensure adherence to best practices. The library hires staff with training in all these areas to conduct learning analytics projects. We do not have a formal process for handling data requests, but these requests would be reviewed for privacy implications before data is provided. LEARNING ANALYTICS PARTNERS 41. Is your library currently working with consortia that are building capacity for learning analytics (e.g., Unizin, University Innovation Alliance, regional consortium, etc.)? N=49 Yes 16 33% No 29 59% No, but our institution is currently working with consortia 4 8% If yes, please specify which one(s) and the nature of the work. N=14 Greater Western Library Alliance (GWLA) GWLA Student Success initiative as an example of us contributing data to broader projects. GWLA, study to understand how libraries contribute to student learning. Statewide learning analytics initiative. Unizin member. The Ivy League Libraries (Borrow Direct) Through GWLA Triangle Research Libraries Network (TRLN): TRLN institutions are interested in collecting aggregate usage data of library resources in order to analyze cost per use and determine how users are engaging with consortial resources. Ivy Plus Libraries (IPL): as with TRLN, the Ivy Plus Libraries are interested in collecting aggregate usage data of library resources in order to analyze cost per use and determine how users are engaging with consortial resources. We are also interested in gathering consortial data in order to negotiate pricing with library vendors. We have also worked with IPL partners to develop and explore innovative ways to collect and use aggregate user data. We are the beginning stages of this, but IPL partner libraries are interested in combining resources and expertise to build capacity for learning analytics projects that would be of use to all 13 IPL libraries (and beyond IPL, too). University Innovation Alliance. Have initiated an Educational Advisory Board Student Success Collaborative. Also Monitoring Advising Analytics to Promote Success (MAAPS). Unizin (2 responses) Unizin, IMLS grants Unizin advisory committees Unizin, and some with Barnes & Noble. With Unizin, we are collaborating on a data platform using a common data format, specifically linked to the Canvas LMS. Unizin’s common data platform
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