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MATHia Dataset (Grade 7 Sample 2019-2020)

Carnegie Learning

This dataset can help researchers better understand learning in Carnegie Learning's MATHia adaptive learning software. The main audience for this dataset is researchers looking for granular learning process data over a large sample of (largely Grade 7) learners drawn from MATHia's nationwide (USA), diverse userbase. Essential features/data included in this platform are de-identified student performance at multiple opportunities to practice granular knowledge components across an entire academic year.

Historical Data

Full Info
MATHia & UpGrade

Carnegie Learning

MATHia is adaptive learning software for middle school and high school math developed by Carnegie Learning as part of core, blended curriculum solution. (https://www.carnegielearning.com/solutions/math/mathia/) UpGrade is open source software integrated with MATHia to enable field trials, A/B testing, and other platform-enabled learning research (See https://www.upgradeplatform.org/). Video for researchers that describes the application and research capabilities: https://youtu.be/ZDNtpiXCzlA Request access to MATHia to demo the application yourself! (https://www.carnegielearning.com/sample-center/) Sample Dataset - explore a dataset previously collected. Terms of Use & access request required. (https://pslcdatashop.web.cmu.edu/Project?id=720)

Historical Data, Experimental (Manipulable)

Full Info

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