LEARN helps instructors make data-informed decisions to support effective online learning
Teaching online can be challenging, especially with ongoing pandemic shifts. Without a chance to “read the room,” instructors may not always have a good sense of where their students are at. More than ever, faculty need easily accessible information that offers insight into students’ participation, engagement and understanding.
Clearing the Fog: How LEARN Can Help
NYU’s Learning Analytics Research Network (LEARN) creates targeted solutions that transform data from overwhelming distraction into useful actionable insight that helps instructors make the best decisions to support effective, equitable student learning.
- What kinds of questions can we help answer?
- How are students engaging in assignments?
- What topics/materials are they finding difficult?
- What approaches are most motivating for them?
- Which students need help most?
- How can we best meet the needs of students from diverse backgrounds?
- What kinds of solutions do we develop?
- Learning dashboards
- Predictive models
- Diagnostic feedback tools
- Smart data collection devices
- Professional coaching sessions
Partnering with LEARN
Our network of experts offers:
- Deep command of a wide range of advanced data science methods
- Practiced skill in higher education pedagogy and innovative learning approaches
- Extensive experience supporting organizational change
- Equity-informed perspectives on data collection, uses and impacts
LEARN engages in a consultative, human-centered design process
You bring your teaching and learning needs.
We bring a suite of analytical techniques and knowledge into the insights they can produce.
Together, we develop a customized solution that supports equitable & effective online learning.
To request an initial consultation, please reach out to:
Alyssa Wise, Director: alyssa.wise@nyu.edu
or
Chloe Sun, Administration and Operations Manager: xs2407@nyu.edu