Enterprise learning organizations are increasingly looking to harness the power of learning data to improve training, performance, and decision making. But with the vast amounts of learning activity data being generated across various platforms and systems, managing and analyzing that data can quickly become overwhelming. This is where SQL LRS comes in.

Did you know that you can use Reactions in SQL LRS to automate pre-requisite checks and course eligibility?

XR is a perfect use case for xAPI. Because most events that occur within an XR learning experience are activity-based, it’s easy to instrument an XR system to produce activity data aligned with xAPI. And because so much of the interesting information about learning that occurs in XR is behavioral and experiential, xAPI’s semantic data model — purpose-built for activities that occur during learning — is both a clear fit and a natural value-add.

Yet Analytics, a leading provider of enterprise learning data software solutions today announced that its solutions package for the Total Learning Architecture is now available through the SBIR Aisle program from the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace.

Whether you're delivering immersive XR training experiences or managing complex learning requirements through an LMS, the ability to design, implement, and operationalize xAPI is no longer a “nice to have” – it’s a competitive advantage.

A lot of people have been asking us lately about the potential value of xAPI in XR training. It’s a question worth asking as more industries are making an investment in mixed and extended reality — especially for training in high-risk or “difficult to practice” domains. For training and innovation leaders in these spaces, it comes down to: “Does xAPI really matter for XR — and if so, why?”

TLA Office Hours will occur every Friday at 1pm Eastern. They are meant to complement the work of the TLA Study Group — a volunteer effort sponsored by the IEEE Learning Technology Standards Committee to write a book-length report on the Total Learning Architecture.

If the goal is to improve the infrastructure required to support increased efficacy and expanded access, then one could do much worse than to implement proven standards-based and open source capabilities that have been field tested and built for scalability in real world environments.

In addition to continuing to provide our ongoing support, maintenance, and upgrades to SQL LRS and the rest of our open source software portfolio for our clients and the broader community, we’re starting up a host of new services.

Neither xAPI nor any of the related IEEE LTSC data standards naturally gravitate towards living in silos. They are all designed to be interconnected and they thrive on interconnectedness.

They only end up in silos if you put them in silos.

For much of the last year, our team at Yet has been engaged in the development of a major upgrade of the xAPI plug-in for the open source Moodle LMS.

The Interservice / Industry Training, Simulation and Education Conference (I/ITSEC) is the world's largest modeling, simulation and training event. It’s a hotbed of innovation in simulation and training technologies as well as being arguably the most important venue for the presentation of research in the space.

Sometimes, you want to define relationships. Other times, you want to add context. When describing time, direction, location, and spatial relationships, we depend on prepositions. But that’s been a difficult task in the realm of xAPI.

Until now.

Meet xAPI Prepositions — a set of 150 machine-readable xAPI concepts delivered in a conformant xAPI Profile.

Track video engagement during offline learning experiences with the new xAPI VLC plugin capability from Yet Analytics. Distributed under the GNU Lesser General Public License, it provides the ability to track activity and generate xAPI data directly from VLC Media Player.

Announcing the inaugural publication of YetToDiscover — the Learning Data Management Report and Catalog from Yet Analytics.

Every training event could be represented in a digital data profile.

As organizations increasingly adopt cloud-based xAPI implementations to track and analyze learning experiences, understanding the associated costs becomes crucial.

Learning Engineering is an interdisciplinary field that applies engineering principles to the design, development, and implementation of learning experiences. It involves integrating theories from education, psychology, and cognitive science with cutting-edge technologies and approaches to data design and implementation to create effective, efficient, and engaging learning environments capable of producing measurable outcomes.

The Experience API (xAPI) has transformed the landscape of learning technology, enabling the capture of diverse learning experiences across various platforms. However, designing xAPI Profiles has traditionally been a cumbersome and labor-intensive process.

As an Apache 2.0 open source Learning Record Store built on SQL, our LRS provides significant advantages in terms of deployment, integration, and data querying capabilities.