EdOptimize–An Open-Source K-12 Learning Analytics Platform

Conference paper (2022)

Authors

Tirth Shah Playpower Labs
Nirmal Patel Playpower Labs, Carnegie Mellon University
J.D. Lomas Design Aesthetics - IDE
Aditya Sharma Playpower Labs
Research Group
Design Aesthetics (IDE) (TU Delft)
Copyright: © 2022 Tirth Shah, Nirmal Patel, J.D. Lomas, Aditya Sharma
Earning analytics Digital learning Ashboards Assessment data Curriculum- analytics Platform-analytics Implementation-analytics
More Info
expand_more

Published Date

2022

Language

English

Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Design Aesthetics

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