People don't enjoy getting a green checkmark in their file every time they complete an e-learning course because they don't like to be watched and controlled. It's demotivating and can feel intrusive. Therefore, it is more beneficial for the organization and for the users if the analytics are served on an aggregated level instead of on the individual level. This allows organizations to gauge the learning success of their audience without drawing attention to any particular user. It also provides individuals with autonomy as they can take their time and learn without the pressure of meeting a deadline or achieving a perfect score. By aggregating the data, they can still recognize overall success or areas of improvement, while allowing individuals to learn on their own terms.
Imagine how Brenda would feel, if someone got to see the exact topic she's struggling with.
If someone were able to see the exact topic Brenda is struggling with, she would likely feel embarrassed, shameful, and judged. This sense of vulnerability and scrutiny could potentially lead Brenda to become demotivated and less likely to engage in the learning activities.
If, however, the data was available at an aggregated level, Brenda would feel less judged and less watched. She would know that her struggles are not necessarily a reflection of her own personal weakness, but something that is being experienced by the whole audience to some degree. This would be much less intimidating and would allow Brenda to continue learning in a more relaxed and autonomous manner.
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