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OEA is now entirely community owned and operated!
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Open Education Analytics (OEA) is an open source community begun with the generous support and funding from Microsoft Education. We collaborate with education systems around the world to develop modern data intelligence capabilities.
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Get started with the modern data estate using the OEA reference architecture, open source modules, training, and use cases. Ensure responsible data and AI practices with our OEA toolkit. Join our community and contribute education data solutions.
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What is Open Education Analytics?
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We aim to empower education systems around the world to use data, analytics and AI more effectively and ethically to improve learning outcomes.
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International community of education systems co-creating and innovating to speed up system-level use of AI.
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Developing and contributing to the OEA architecture, data pipelines, analytical models, dashboard templates, and data governance processes.
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Training and development for data engineers, data scientists, learning analytics experts, and education researchers.
Highlighted OEA Case Studies
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Explore real-world use cases that have been contributed by the OEA Community and learn how you can customize their technical assets for your own use cases.
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Predicting Chronic Absenteeism
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This OEA Package co-developed with Fresno, California, provides guidance on developing a predictive model to identify patterns of chronic absenteeism and supports needed by individual students. It allows a system to identify the best interventions to prevent absenteeism.
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Learn more
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Equity Of Digital Access
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This OEA Package provides tools to show patterns of digital access outside of schools, where students have no devices or low connectivity, so that education systems can ensure all learners have quality digital access to learning outside of school.
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Learn more
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Predicting Student Well-being
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This OEA Package was co-developed with the Tasmania Department of Education. It can be used to identify the features that most predict student well-being in an education system, and which students are most likely to need more personalized supports.
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Learn more
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Education Challenges with Data and AI
Education leaders want to move their organization and culture to be more data-driven.
The cost and effort to get started with advanced analytics seems overwhelming.
Education organizations lack the data expertise to deploy advanced analytics.
Concerns over privacy, compliance, and data governance.
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Education Systems in OEA are Collaborating to Develop
Personalized Learning Pathways
Realtime Data Dashboards
Open Data for Research and Evaluation
State, Province and National Reporting
Digital Learning Ecosystem Insights
Predicting At-Risk Students
How OEA Can Help You Modernize Your Own Data Estate
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Ensure principles of Responsible AI guide your use cases.
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Leverage open source assets and the OEA reference architecture.
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Build your team’s data capabilities with OEA Skills and Training.
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Share new assets and best practices with the community.
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Success Stories
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See how education systems collaborating in OEA are supercharging their data initiatives to improve learning outcomes.
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Real Time Hybrid Learning Engagement in Fresno, California
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OEA worked with Fresno Unified School District to develop a Hybrid Engagement Package. The package provides a set of assets for combining in-person attendance and student digital activity, providing a more holistic representation of student engagement.
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Set up the package
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See the data and AI journey in Helsinki, Finland
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Acknowledging that all students come from different backgrounds and have different skillsets, the City of Helsinki Education Division believes that personalised learning built on Ethical AI principles will help each learner succeed.
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Watch the video
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Being able to gather, integrate, and visualize our student and financial data has helped us identify gaps in our services, specifically student-focused services. The easier it is to gather and visualize data, the more confident I am in the decisions I am making for the college. The ability to gather and visualize data needs to be super easy so we don’t have to hire more people to do it for us, essentially a democratization of data. We need trusted AI that can provide insights into our systemic issues and help us create the culture we desire.
- Carrie Berger, Ph.D., Interim Dean, Associate Dean for Strategic Initiatives, Purdue Polytechnic Institute.
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Many changes are driven by equity. Creativity, collaboration, real-world problem-solving … students who most need these skills to compete in the workforce and to succeed in college are students from disadvantaged backgrounds. Learning analytics, using an equity focus, shows these students gain on both content knowledge and skills competency when teaching practices better prepare students for their AsYetImagined futures.
- Philip Neufeld, Executive Officer, Information Technology, Fresno Unified School District.
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Ethics is an end-to-end process. It starts with policymaking, then decision making, then design of software, then design of what data to use, then training algorithms, then how end users are using the data and results. The ethics governance for the whole end-to-end process is an essential part when building Learning Analytics and AI in Education.
- Pasi Silander, Head of ICT Development Programs, AI & Data Analytics, City of Helsinki Education Division.
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Whatever we do affects millions of people—not only those that are in school now, but parents and future generations. When we take any action, we have to understand that there is a great responsibility for tomorrow. Education is a system where you see changes very slowly, but when you plant a seed, it’s very difficult to roll it back. Before making any action, it’s important to understand what values you follow and why you do it.
- Vüsal Khanlarov, Head of Bureau on ICT for Education, Ministry of Education of the Republic of Azerbaijan.
Who can benefit from OEA?
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Education System Leader
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Demonstrate the effective and responsible use of data to address the biggest challenges facing your education system.
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Education Researcher
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Leverage powerful new data analytics tools to provide insights and reports quickly and flexibly.
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Data Scientist
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Transform, enrich and explore the data for advanced analytics and model building.
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Data Project Manager
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Oversee use case definition and operationalize Responsible AI and data governance.
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Data Engineer
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Setup OEA and build, schedule and maintain pipelines for data ingestion and preparation.
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How to get started!
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Here’s how you can help your organization get started on OEA:
Education Technology Leaders
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Connect with a partner (third-party Microsoft solution providers) who can setup the OEA architecture in your institution and bring your education use cases to life.
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Find a Partner
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If your institution or system has in-house data engineers, researchers, and data scientists, get them started using the OEA skills and training materials.
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Find Training Resources
OEA Partners
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Sign up to become an OEA Partner to build data solutions for large education systems and OEA Community members from all over the world.
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Become an OEA Partner
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We provide our OEA Partners with the necessary training, resources and customer connections to ensure continued partner success.
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Partner Benefits
