Meet The Most Advanced LMS System Available

Our Features

XPER-LMS provides a next-generation integrated learning environment. The capabilities of current LMSs define and constrain e-learning and blended learning environments without a learning process to deliver training in a way that uniquely adapts to each individual.

Experience Tracking

XPER-LMS uses a specification for experience tracking called the xAPI, which is a non-proprietary specification for tracking and storing experiences across learning platforms (e.g., simulators, virtual worlds, web content, mobile devices, games, and observer-based measures)
The learner’s activity stream (a series of xAPI statements) is stored in a JavaScript Object Notation (JSON) database called a Learning Record Store (LRS). Each statement includes the actor, verb, object, and optional information about results, context, etc. The power of xAPI is that it can record human performance at both the micro and macro levels. For example, a single keypress or behavior can be an xAPI statement, but it can also be a statement that the individual completed a course, received a certification, etc.

Talent Profile

Another great feature of the XPER-LMS is the so-called Talent profiles. A Talent profile is a map of the learner’s background, experience, knowledge, and traits. It goes beyond a simple student record held in current LMSs, which primarily include courses completed, grade point average, etc.
The Talent profile in the XPER-LMS includes any information about the learner that may impact how and what training should be provided to the student. (such as cognitive abilities like intelligence, reading speed, and reading level)
It also includes prior experience and knowledge in different domains like math or human psychology, small unit tactics, or how to operate a specific system. This profile is clearly dependent on the measurement of learners and so a Learning Record Store is a key enabler of the development of learner profiles. A learner profile is more than just a collection of measures. IT is based on skill and knowledge retention over time.


Competency Networks

XPER-LMS is designed with a powerful mechanism called competency networks.
Each branch of an organization has defined competencies that they need in their respective workforces. Some competencies may be common across all service members while others may be very specific to a single specialty. Competencies are defined by organizations as are the training and measures needed to develop and maintain those competencies. Competencies are complex and are usually developed over years through a combination of formal education, mentoring, job assignments, peer interactions, and more.
A competency network is a way of representing those types of experiences and how they feed into the development of various competencies. By mapping the Talent profile to the competency network, it will be possible to determine the competencies of the individual.
Equipped with Competency Networks, XPER-LMS provides organizations with a way to represent the training and measurement of their respective competencies.


Content brokering

Content brokering has to do with tailoring the delivery of content to individual learners. Content brokering is dependent on knowing what the learner has done (via experience tracking), what the learner currently knows (via the learner profile), and what the learner needs to be provided with (via the competency network). Content brokering uses content registries and repositories to make training recommendations. Because so much content is now available outside of the walls of most LMSs, tools that enable machines to find and understand learning content automatically will play a big role in content brokering.
XPER-LMS does more than simply performing a semantic analysis to the existing content, XPER-LMS’s smart algorithms consider who uses the content, how existing contents are rated, and which ones seem to provide the biggest benefit to learners.


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