There is a difference between collecting data and using it. Instructors, training managers, and executive decision makers could make better decisions, improve the speed and effectiveness of readiness, and improve learning outcomes if they could gain insight from the data collected through the Total Learning Architecture. But traditional data analytics and visualization software is neither purpose-built for the learning and training domain, nor is it built for non-specialists. Therefore getting an understanding of data insights is a cumbersome process. Either you need to deal with enterprise software, code, and spreadsheets, or you need to have a data scientist on call. In the best case scenario, you are spending most of your time munging data from one form to another.
The solution is the Data Analytics and Visualization Environment (DAVE). DAVE is a framework for data analytics which provides the ability to prototype visualizations and reports for the learning and training domain. DAVE workbooks are designed for instructors and managers, but the DAVE framework is strong enough to meet the needs of data scientists. DAVE is built on technical specs developed by the Advanced Distributed Learning Initiative — and it will extend the capabilities of xAPI, xAPI Profiles, and the Total Learning Architecture into decision-making spaces. DAVE is 100% open source, adaptable, and cost effective — there are no licenses and there is no vendor lock-in. The workbooks can run in a web browser and all of the visualization code is standardized and exportable to any decision making, business intelligence, or reporting system.
We're looking for learning and data professionals as well as the executives and business users of learning data to help us create an open source framework that meets the needs of real users in industry, government, and academia.
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