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Error Rate

Optimizing the engagement by modulating the difficulty such that the error rate of the learner balances

As a learner progresses in a topic, the difficulty of the challenges will increase, and the tests that are passed to the learner will get more difficult accordingly. However, if the difficulty of the challenges increases too much and the users commit too many mistakes, they will disengage from continuing their progress in the course; however if the increase in difficulty level of the tests is too little, the users get bored quickly.

Therefore there is a narrow boundary in which the learners retain their curiosity and attention while the learning and engagement rate remains maximized. Depending on age, endurance, and other factors, this boundary can be different for each user.

Therefore, the best practice is to pinpoint this boundary for each learner and modulate the difficulty of the questions and lessons such that the learner would navigate on this boundary.

Error Rate

A simulation that suggests the task difficulty should be constantly modulated, such that the optimal error rate would be kept at 16.6% to achieve the best learning rate.

  1. Wilson, Robert C., et al. "The Eighty Five Percent Rule for optimal learning." Nat. Commun., vol. 10, no. 4646, 5 Nov. 2019, pp. 1-9, doi:10.1038/s41467-019-12552-4.

  2. van Praag, Henriette, et al. "Neural consequences of enviromental enrichment." Nat. Rev. Neurosci., vol. 1, Dec. 2000, pp. 191-8, doi:10.1038/35044558.

  3. Dehaene, S. (2023, July 07). How We Learn: Why Brains Learn Better Than Any Machine

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