Brightspace Insights Portal
Tools and support for data-driven teaching and learning
The Insights Portal is a set of dashboards built for (and with) faculty that address common instructional and curricular challenges. It offers a visual platform for understanding engagement, assessment, and discussion-related data as an aid for faculty–student interventions, just-in-time changes to class sessions, or iterative course curricular changes that improve student learning outcomes. The Insights Portal is available to all faculty via a course's NYU Brightspace course site.
- Sign up for a training session at the beginning of each semester, or reach out to the team with questions at firstname.lastname@example.org.
- Have a question you want answered with new analytics or data? Learn how you can request new analytics to solve teaching challenges.
Consultations and Support
- Learn more about the tool, and how it integrates with your course site. Sign up for an in-person consultation with the Digital Studio, or a virtual consultation through the team's appointment calendar.
- Read about sample teaching challenges and how dashboard data can help solve them through the team's Good Analytics Practice (GAP) sheets.
- If you’re working with a faculty member and need access to their analytics, please read about the process for administrative access to a faculty member’s Insights Portal dashboards.
- For questions about analytics offerings of a current or potential future instructional tool, contact email@example.com to have a consultation with the Learning Analytics team.
Analyze assessment or content data at a lesson or whole-course level
- Saves time in your curriculum review.
- Focuses data in meaningful ways.
Find engagement drop-off around lessons or specific materials
- Helpful for learning what material you might want to swap.
- See how long students are spending on your course materials and which days they tend to spend the most time so you can adjust your lesson due dates to their study habits.
Combine assessment data with engagement data during the course
- Change a student's trajectory during the course.
- Add supplementary material where you see gaps.
Identify low engagement early
- Be confident in nudging a student you want to see improve.
See the student pathways in your course
- Know which order students are viewing your material and make suggestions on their study habits as needed.
It is good practice to make sure students know you are using learning analytics about the course to support students during the course and make improvements after. Although it is not required, it would be recommended to include information about the use of learning analytics in your syllabus:
"Learner engagement, both in class and online, is an important element of this course. I will be looking at our class interactions both in person and digitally in order to tailor the course to best meet your learning needs and make improvements to the course design overall. In person, this means “reading the room” by looking at how students engage with different course materials and activities. Online, this means digitally “reading the room” by looking at information about how students engage with different course materials and activities."
Please see the Learning Analytics Privacy and Security page for additional information about data privacy and security.
Community Resources Outside NYU
- Society for Learning Analytics Research (group site) — SoLAR is the only international research-focused interest group organization centered specifically on Learning Analytics. View their peer reviewed journal.
- International Society of Learning Sciences — ISLS is an international interest group around Learning Sciences, where you can find great crossover projects using learning data.
- Journal of Educational Data Mining — The Journal of Educational Data Mining is a great resource for finding example projects around the use of learning data to answer questions about the learning process.