EdOptimize–An Open-Source K-12 Learning Analytics Platform
Tirth Shah (Playpower Labs)
Nirmal Patel (Playpower Labs, Carnegie Mellon University)
J.D. Lomas (TU Delft - Form and Experience)
Aditya Sharma (Playpower Labs)
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Abstract
Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the learning outcomes of the students. EdOptimize platform provides extensive actionable insights for a range of stakeholders through a suite of 3 data dashboards, each one intended for a certain type of stakeholder. We have designed a conceptual model and data architecture that can generalize across many different edtech implementation scenarios. Our source code
is available at https://github.com/PlaypowerLabs/EdOptimize
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