The key differentiator when utilizing Experience API (xAPI) is that users have to make a long-term decision about how to manage the collected data. This decision, similarly to a decision of a learning management system choice, is driven by many factors including cost-per-user, accessibility, flexibility, security, and ultimately sustainability. The choice is undoubtedly connected with the question of what you want to do with your data, as xAPI enables activity data collection with high-resolution insights into specific learning activities of the solution. 

This presentation explores the latest update of the original white paper developed by the Advanced Distributed Learning Initiative (ADL) in 2016. In this session, you will be provided an overview of the LRS options and receive general, unbiased guidelines for purchase or development of an LRS in 2019. The right choice of an LRS should give you the ability to use data in shaping your understanding of how engaging or valuable a learning experience is for a learner.

In this session, you will learn:

• Categories and examples of LRSs
• Special features and issues to consider
• Types of learning analytics approaches
• How to create a guiding matrix

Audience:

Developers, senior leaders (directors, VP, CLO, executive, etc.) 

Technology discussed:

LRS, LMS, github