In support of Indiana University's Bicentennial Strategic Plan, the Center for Learning Analytics and Student Success (CLASS) advances the widespread use of big data and student learning analytics, empowering faculty to conduct actionable scholarly research through the systematic collection, exploration, and analysis of data describing students, their observable activities, and outcomes. CLASS organizes and supports professional learning communities, whose participants collaborate with Bloomington Assessment and Research, the Center for Innovative Teaching and Learning, and the Bay View Alliance.
Data-informed scholarship
Upcoming CLASS Events
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Teaching, learning, and student success
Big data, predictive modeling, and learning analytics have rapidly emerged as some of the most robust and promising methods for ensuring that all students achieve their highest potential during their college years.
Learning Analytics Fellows
The Student Learning Analytics Fellows Program funds faculty-driven research projects that use learning analytics to foster student engagement, retention, and success at Indiana University. Participating Fellows use various methods to study students as learners through the systematic collection, exploration, and analysis of data describing students, their observable activities, and outcomes.
Contact George Rehrey
Transforming Education, Stimulating Teaching and Learning Excellence
The Transforming Education, Stimulating Teaching and Learning Excellence (TRESTLE) project is a multi-institutional intellectual community focused on increasing the number of students graduating within STEM disciplines. At IU Bloomington, computer science faculty are using a learner-centered approach to their teaching, in pursuit of better learning outcomes and student success, as they collaborate with faculty from other STEM programs from the US and Canada.