Big data and learning analytics are top of mind for many organizations throughout the training industry. However, while there is a lot of of information about what you can do with data, there is much less about what you should do. Since data can include deeply personal or sensitive information, training organizations cannot consider using this information without first thinking about the ethics of what they are intending to do with that data and the privacy of individual learners.

In this session, you’ll explore how you can use learner performance data while also respecting the privacy of your audience. You’ll start by looking at R&D initiatives and explore common data scenarios that can put learners at risk and even, in some cases, trigger legal action. You’ll then learn research-based best practices for how to avoid these scenarios, such as building a deeper practical understanding of privacy laws and expectations, sharing this information effectively with all your stakeholders, and using this knowledge to guide new approaches to the design and development of your data projects. You’ll leave this session understanding not just the research-based recommendations for how to address privacy and ethical considerations, but also why it benefits your organization to make this topic a priority.

In this session, you will learn:

• Why ethics is an important discussion in the training domain
• How learners and organizations may be affected by data collection
• About specific legal and ethical considerations you should be aware of when using learner performance data
• How stakeholders should plan to address emerging privacy and ethical considerations

Audience:
Novice and intermediate designers, developers, managers, directors, and senior leaders (VP, CLO, executive, etc.).

Technology discussed in this session:
CAE’s R&D into systems for data collection in training (specifically, courseware and simulators).