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'A little knowledge is a dangerous thing': A method to automatically detect knowledge compartmentalization and oversimplification

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Pereira, Crystiam Kelle
Nunes, Bernardo Pereira
Siqueira, Sean W.M.
Manrique, Ruben
Medeiros, Jerry Fernes

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Institute of Electrical and Electronics Engineers Inc.

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Simplification is a common practice to allow students to understand complex concepts. However, such practice may lead to oversimplification and knowledge compartmentalization problems. This paper proposes a method to minimize the effects of oversimplification and knowledge compartmentalization through a five-step processing chain, following instructional design principles, to foster advanced knowledge acquisition. The proposed method was applied to online courses and a discussion for an example of a Data Science course is provided to show its applicability.

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Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020

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