- Avoiding Bias in Data and Algorithms: Learning engineers must be mindful of biases that may be present in data or algorithms used in learning systems. Unaddressed biases can lead to inequitable learning outcomes, disadvantaging certain learner groups.
- Accessible and Inclusive Design: Learning solutions should be designed to accommodate diverse learners, including those with disabilities. Accessibility standards, such as WCAG, help ensure that learning materials and tools are usable by all learners, regardless of their abilities.