This subtopic covers the capacity of learning engineering team members to secure and protect learner data.
- Data Security Measures: Knowledge of how data collected through instrumentation can be safeguarded against unauthorized access or breaches. Security measures such as encryption, secure data transmission protocols, and controlled access need to be prioritized. Learning engineering teams consider how data is stored and who has access to it, ensuring that it is protected at every stage of its lifecycle.
- Mitigating Risks of Data Leakage: Knowledge of risks associated with data leakage must also be taken into account. This involves ensuring that personal information is never shared outside the intended channels and that best practices are followed to prevent data from being exposed inadvertently. Security measures should align with privacy standards and industry best practices.