Learning Record Store (LRS)

Data is increasingly becoming a competitive advantage across the business world.

Learning record stores (LRSs) are powerful tools for tracking learning data in a standardized structured way.

Organizations can report training data across the entire organization for analysis, building modern L&D processes fit for the modern workplace.

Discover:

• What is a Learning Record Store (LRS)?
• What does an LRS enable?
• How does an LRS work?
• Does your organization need an LRS?
• How to implement an LRS
• Opt for a complete learning solution with built-in LRS
• Tips for maximizing the benefits of an LRS

What is a Learning Record Store?

A Learning Record Store (LRS) is a centralized hub that collects and stores learning data from various connected systems within an organization. Think of it as a learning database that unifies data from all learning platforms to analyze employees’ training activities.

However, not every learning record database is an LRS. What sets an LRS apart from a regular learning database is the use of xAPI statements.

xAPI, or Experience API (formerly known as “Tin Can API”), is an open-source learning technology specification that dictates how learning interactions are tracked and sent to the LRS for permanent storage.

The xAPI defines the core functionality of an LRS.

To streamline the use of learning records, many organizations design their learning ecosystem around the xAPI specification with learning systems and an LRS that adheres to its rules.

Each xAPI statement records learner activities, sending a secure notification to the LRS using the noun, verb, object, or “I did this” form. Identifying learners through a unique tag, often an email address, and recording what they did, the action they took, or the content they consumed.

LRSs serve as a comprehensive archive of all learning activities happening within a company.

This allows learners to review their records, while L&D professionals can access xAPI statements associated with specific employees across different systems.

Various applications also utilize xAPI to assess, certify, or guarantee employees receive thorough compliance training.

LRS vs. Learning Management System (LMS)

While LRSs are typically standalone products with inbuilt reporting and analytics features, they can also be integrated into other learning platforms, most commonly learning management systems (LMSs).

It may sound like an LRS offers the same functionality as an LMS, but it is not a case of choosing one over the other. An LRS acts primarily as a data store, a repository containing all of the learning records produced at the company. In contrast, an LMS brings additional features concerning managing and delivering learning experiences.

LMSs track learning using their native reporting. It is possible to replace native LMS reporting with LRS and xAPI statements, making it easier to share learning data. LRSs can communicate with one another, allowing learning records to be ported from one system to another.

This makes it simple for information to be shared between organizations. For example, organizations can transfer employee learning records, helping new hires prove the training they received in their previous job.

What does an LRS enable?

The purpose of an LRS is to provide a single, comprehensive store for all the learning activities at an organization. With a single source of truth for learning records, organizations can understand the entire learning experience for each employee across various platforms. This could include:

• Real-world activities
• Learning platform content
• Mobile apps
• Videos
• Gamified training

With this data stored on the LRS, it is readily incorporated into other systems with advanced reporting, analytics, or visualization functionality.

Additionally, organizations can redesign their training programs based on up-to-date learning data.

Examples include real-time recommendation engines for personalized learning or training assessment programs to evaluate the effectiveness of a particular course or piece of material.

LRSs gather the data needed to implement more technically advanced learning solutions. With data-driven decision-making to guide L&D initiatives, organizations can improve learning outcomes and develop employees better suited for the modern workforce.

How does an LRS work?

You can break down LRS operations into five distinct processes:

1. Data collection.

As learning activities occur, xAPI statements are sent to the LRS.

This data comes from various systems, such as LMSs, learning experience platforms (LXPs), e-learning courseware, mobile apps, simulations, games, and other digital learning tools.

Data captured and collected by an LRS can include time spent on a learning activity, scores and assessment results, completion status, and learning interactions.

2. Data storage.

LRSs are designed to handle large amounts of data in a structured format.

This allows for easy access and analysis.

3. Data analysis.

Data analysis tools process the collected data to generate reports, visualize trends, and identify patterns in learner behavior.

Tools can also provide real-time feedback to learners and help personalize learning experiences.

Example of the learning report at Valamis

4. Data sharing.

APIs (Application Programming Interfaces) allow LRS data to be shared among different systems.

This facilitates the integration of an LRS with other learning technologies and systems, such as an LMS or a learning content provider.

5. Data security.

Data collected by the LRS must be stored securely and in accordance with relevant regulations, for example, General Data Protection Regulations (GDPR) in the European Union.

LRSs also typically provide access controls to restrict learning data to only authorized personnel.

Learn how data security works at Valamis

Does your organization need an LRS?

Whether or not you need an LRS depends on how you want to track learner data and if you have several activities and systems capable of producing xAPI data.

Examples of the LRS use cases:

Want to understand the impact of a particular piece of training material? Quickly pull up every employee that has interacted with it and track related performance metrics before and after.

Need to determine the skill gaps holding your organization back? Search learning records related to key skills or competencies to help identify holes in your workforce’s capabilities.

Looking to enhance the impact of training through personalized learning experiences? Use every employee’s learning records and performance data with recommendation engines to find the best training for them to complete next.

Collecting as much information as possible gives you more data to analyze in order to improve training activities.

This helps implement a range of L&D practices including:

• Personalized learning. An LRS tracks individual learning experiences, including the content an employee received and how they responded to it. This information can be analyzed to discover insights into an employee’s learning behavior and preferences to help tailor future content to their specific needs.
• Competency-based learning. LRS data can identify areas where employees require further development. L&D teams can track learner progress concerning different competencies, adjusting learning content to improve coverage or focus on specific areas the company wants to focus on.
• Analytics and reporting. Analyzing LRS data helps understand learner progress and performance. This can be especially helpful for larger organizations that need to monitor the learning outcomes for a significant number of employees across multiple departments.
• Compliance and regulation. Complying with data privacy regulations or other requirements is easier with a single repository to store learner information. LRSs help organizations track and manage learner data securely and competently.
• Blended learning. LRSs allow tracking and analyzing learner progression across different modalities. Especially useful for organizations utilizing a combination of digital and traditional learning methods.

How to implement an LRS

Let’s walk through the four key steps to effectively implement an LRS in your organization

1. Designing your LRS solution

Before implementation, it is essential to consider what you need from your LRS and how you hope to develop your L&D processes around a new comprehensive learning data store.

• Are you just looking to start with improved reporting and dashboards to track employee learning?
• Do you want enhanced analytics and the ability to monitor the effectiveness of training efforts?
• Do you want to overhaul your approach to training and deliver personalized learning experiences?

Ultimately, the question you need to answer is – what is your goal, and what do you hope to achieve with your learning data?

Implementing an LRS can be a lengthy process. Still, the answer to these questions guides every step that follows, from designing your solution and building leadership buy-in to aligning new practices with organizational goals and helping employees learn the new system.

2. Choosing the right LRS for your organization

Once you know what you want from your LRS, you can begin looking at the various solutions available, matching functionality to your needs.

While it is possible to build an LRS from scratch, it requires significant software development resources and an in-depth understanding of the xAPI specification. Identifying an off-the-shelf solution capable of meeting your goals is much easier.

3. Transitioning your learning technology infrastructure

Implementing the new LRS system and transitioning your learning technology infrastructure requires collaboration between the software provider and your IT department. It can be scary to throw away your existing processes and change to something unfamiliar overnight.

Performing a phased rollout or building up the system alongside existing processes is often better to minimise disruption.

Transitioning one team or system at a time to the new LRS infrastructure or introducing it in conjunction with existing L&D workflows to ensure it works before moving the whole company to the new LRS.

4. Reviewing and revising

The final step is to assess your new operations, comparing the real-life outcomes of your LRS software to the goals defined in step one. Implementing an LRS is itself a learning process, and it is common to discover new ideas or areas that need work during installation.

Don’t assume everything will be optimized from the start. After using the new system, it is essential to review and revise your approach. Listen to feedback from key stakeholders and play around with all of the new technology’s functionality before launching version 2.0.

Opt for a complete learning solution with built-in LRS

Instead of a lengthy and complex LRS implementation process, consider the benefits of choosing a complete learning solution with a built-in LRS, like Valamis.

By opting for an all-in-one platform, you can save time and money while enjoying the advantages of a comprehensive learning data store.

Benefits of a complete learning solution with built-in LRS:

Simplified implementation: Avoid the hassle of designing and transitioning your learning technology infrastructure. An integrated LRS streamlines the process and reduces the time spent on implementation.

• Cost-effective. Purchasing a single, end-to-end learning solution is more budget-friendly than investing in separate tools, as you only need one subscription instead of multiple.
• Seamless integration. A built-in LRS ensures compatibility with the learning platform’s other features, providing a unified experience without the need for additional integration work.
• Cohesive user experience. With a complete learning solution, employees and administrators will have a consistent experience across all learning activities, making it easier to navigate and manage.
• Streamlined support. When you choose a platform with an integrated LRS, you’ll only need to deal with one vendor for support and maintenance, simplifying communication and issue resolution.

More tips for maximizing the benefits of an LRS

Ensuring compatibility

While many solutions claim to be LRSs, not all conform exactly with the xAPI specification. You don’t want to implement your new data store only to discover communication issues between the LRS and the various other learning technology systems.

Thankfully, ADL (Advanced Distributed Learning), the US government project responsible for developing the xAPI specification, has compiled a list of conformant LRS platforms. ADL has put these LRS products through over 1,300 tests to guarantee they conform with xAPI.

When you are less familiar with the field and first implementing an LRS, it is beneficial to stick to the solution that has been proven to follow the xAPI from the people who developed it.

• Map out your entire learning ecosystem
• When implementing an LRS, you must map out your entire learning ecosystem:
• Every learning activity that occurs in your organization
• The mechanism for reporting real-time learning activity data
• The specific information being captured (noun, verb, object, and any additional contextual information).
• How and where will this information be sent and stored, including cybersecurity protections such as encryption
• The reporting dashboards and visualization you need
• How does this information gets fed into other systems, such as analytics and employee performance assessments

With a single diagram of your systems and infrastructure, the whole team can gain an understanding of the new processes and data flows required for the LRS.

You can learn where to prioritize, where problems may occur, and where you may need to add new systems in the future.

Start small and scale up

We touched on it earlier, but no one wants to rip and replace previous systems without a safety net in place. Rather than changing the entire learning infrastructure overnight, organizations should start small and scale up their LRS integration.

Demo the new processes on a single department or replace data workflows for a single system first. Constantly assess the new system’s performance and look for minor issues that could cause more significant problems at scale.

Once the first tool is up and running, sending appropriate xAPI statements to the LRS for safe storage, you can consider adding new systems. Choose systems that minimize disruption while stress-testing the system with a greater volume of data.

Continually test data access and security, ensuring information is safe and protected while being made available to staff and additional systems (LMS, LXP, etc.).

Conclusion

LRSs offer a single organized data store to track all your organization’s learning activities. Rather than various systems tracking bits and pieces of information, you get a single source of truth for all your learning data.

Plus, with the xAPI specification, LRSs can communicate with other LRSs to quickly transfer learning records. Employees can maintain proof of training across organizations, and businesses can transfer data to other platforms for advanced analysis and improved insights.

Schedule a personalized consultation with our Learning experts to get tailored advice and recommendations for your organization.