Learning System Sensitivity
People are often a product of their surroundings. A learning system, and maybe e-learning in particular, ought to grant its audience respect. Any inbuilt biases the authors may have—classism, sexism, homophobia, racism, etc.—need to be cast aside for the learning system to have any significant chance at making a positive impact.
Authors must consider whether due care has been taken to avoid discriminatory factors, such as gender stereotyping and oppressive language, in the content. For example, refraining from utilizing the male pronoun (him) as standard for members of either sex/gender, and substituting terms like blind, deaf, and dumb with visually challenged, differently-abled, etc.
Efforts should be made to accommodate diversity and plurality. Sensitivity is imperative for a learning system’s outreach to be positively widespread.