MavCLASS: Deep, Real-World Learning Analytics to Enhance Student Success

The MSU Mankato analytics design team, powered by a Gates Foundation grant administered by Purdue University, sought to go beyond the superficial uses of analytics and to begin to dig deeply into the data to support enhanced instructional praxis, competency-based curricula, truly differentiated, personalized learning (Tomlinson 2001), and overall student success. The result was the Maverick Comprehensive Learning Analytics Support System (MavCLASS), an agnostic tool that is designed to provide instructors with meaningful, formative information about where students are struggling and how and when to stage interventions to support their learning.

OUTCOMES: Define learner analytics and contextualize it within the greater conversation about predictive analytics and big data * Articulate challenges and opportunities associated with implementing LA at your institution * Apply some basic instructional and curriculum design principles implied by LA to your courses or curricula * Explain the potential relationship between competency-based instruction/curricula and LA, and how they might complement each other to support student success * Begin designing a plan for exploring LA at your institution, including using MavCLASS