The University of Texas at Austin


Dual-credit data analysis course teaches quantitative reasoning skills through hands-on learning with real data sets.

High school students manipulate mathematical concepts, experiment with statistical methodologies, and engage in critical thinking and problem-solving.

Data analysis and statistical methods are challenging mathematical subjects. Mastery requires embracing a particular framework for thinking about the world, as well as developing a sizable set of conceptual and problem-solving competencies.

Working with faculty from the University of Texas at Austin, Enspire created digital tools and instructional media to hone mathematical skills through informal game play with statistical methods and with lab exercises that engage students in hands-on analysis of real data.

Enspire used a software standard called Learning Tools Interoperability (LTI) to provide interoperability between the digital tools and the student-tracking and reporting features required by the University for dual-credit courses. LTI allows external service tools to connect in a standard way across a learning management system (LMS). If the University changes the LMS, the digital tools work seamlessly in the new system.

Industry: Technology
Solution: Custom Development
Services: Instructional Design
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