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Personality-Aware Collaborative Learning: Models and Explanations

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Advanced Information Networking and Applications (AINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

Abstract

Personality traits have been demonstrated as one of the effective human factors in the process of decision making. Personality-aware recommendation models have been built for different applications. However, the models and research for educations are still under investigation. In this paper, we utilize the educational learning as a case study, exploit and summarize different approaches which take advantage of personality traits in collaborative personalized recommendations. Furthermore, we extend the existing personality-aware recommendation models and propose two other alternative recommendation algorithms which can utilize the personality traits. We perform empirical comparisons and studies over an educational data set, and explain the effects of personality from the perspective of the characteristics of each algorithm, in order to discover more insights in the data and models.

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Author information

Authors and Affiliations

  1. Illinois Institute of Technology, Chicago, USA

    Yong Zheng & Archana Subramaniyan

Authors
  1. Yong Zheng
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  2. Archana Subramaniyan
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Corresponding author

Correspondence to Yong Zheng .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Zheng, Y., Subramaniyan, A. (2020). Personality-Aware Collaborative Learning: Models and Explanations. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_53

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