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ICKEM: A Tool for Estimating One’s Understanding of Conceptual Knowledge

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Knowledge Science, Engineering and Management (KSEM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13368))

Abstract

People learn whenever and wherever possible, and whatever they like or encounter – Mathematics, Drama, Art, Languages, Physics, Philosophy, and so on. With the bursting of knowledge, evaluation of one’s understanding of conceptual knowledge becomes increasingly difficult. There are a lot of demands for evaluating one’s understanding of a piece of knowledge, e.g., facilitating personalized recommendations; discovering one’s expertises and deficiencies in a field; recommending a learning material to practice meaningful learning etc. Assessment of understanding of knowledge is conventionally practiced through tests or interviews, but they have some limitations such as low-efficiency and in-comprehensive. We propose a new method to estimate one’s understanding of conceptual knowledge, by keeping track of his/her learning activities. It overcomes some limitations of traditional methods, hence complements traditional methods.

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Notes

  1. 1.

    It can be found at http://psychclassics.yorku.ca/Ebbinghaus/memory7.htm.

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Correspondence to Gangli Liu .

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Liu, G. (2022). ICKEM: A Tool for Estimating One’s Understanding of Conceptual Knowledge. In: Memmi, G., Yang, B., Kong, L., Zhang, T., Qiu, M. (eds) Knowledge Science, Engineering and Management. KSEM 2022. Lecture Notes in Computer Science(), vol 13368. Springer, Cham. https://doi.org/10.1007/978-3-031-10983-6_4

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  • DOI: https://doi.org/10.1007/978-3-031-10983-6_4

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