Learning Emotion Assessment Method Based on Belief Rule Base and Evidential Reasoning

Haobing Chen, Guohui Zhou (), Xin Zhang (), Hailong Zhu and Wei He
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Haobing Chen: School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China
Guohui Zhou: School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China
Xin Zhang: High-Tech Institute of Xi’an, Xi’an 710025, China
Hailong Zhu: School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China
Wei He: School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China

Mathematics, 2023, vol. 11, issue 5, 1-26

Abstract: Learning emotion assessment is a non-negligible step in analyzing learners’ cognitive processing. Data are the basis of the learning emotion assessment. However, the existing learning emotion assessment models cannot balance model accuracy and interpretability well due to the influence of uncertainty in the process of data collection and model parameter errors. Given the above problems, a new learning emotion assessment model based on evidence reasoning and a belief rule base (E-BRB) is proposed in this paper. First, the transformation matrix is introduced to transform multiple emotional indicators into the same standard framework and integrate them, which keeps the consistency of information transformation. Second, the relationship between emotional indicators and learning emotion states is modeled by E-BRB in conjunction with expert knowledge. In addition, we employ the projection covariance matrix adaptation evolution strategy (P-CMA-ES) to optimize the model parameters and improve the model’s accuracy. Finally, to demonstrate the effectiveness of the proposed model, it is applied to emotion assessment in science learning. The experimental results show that the model has better accuracy than data-driven models such as neural networks.

Keywords: learning emotion; belief rule base; evidential reasoning; information transform; evolution strategy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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