The Development and Application of an Intelligent Assessment and Strategy Implementation System for Non-Intellectual Factors in Mathematics Learning Among Senior High School Students
2024

Intelligent System for Assessing Non-Intellectual Factors in High School Math Learning

Sample size: 43 publication 10 minutes Evidence: high

Author Information

Author(s): Kang Yueyuan, Wang Guangming, Liu Luxuan, Liu Jing, Gao Qianqian

Primary Institution: Faculty of Education, Tianjin Normal University

Hypothesis

Can the Intelligent Assessment and Strategy Implementation System for Non-intellectual Factors in Mathematics Learning for high school students efficiently diagnose the levels of non-intellectual factors in mathematics learning among Chinese high school students?

Conclusion

The Intelligent Assessment and Strategy Implementation System effectively enhances students' non-intellectual factors related to mathematics learning.

Supporting Evidence

  • The system can generate 200 diagnostic reports in just 2 seconds.
  • 80% of students in the experimental groups showed improvement in their non-intellectual factors after intervention.
  • Feedback from educational authorities praised the system for its precise and personalized improvement strategies.
  • The system integrates assessment index systems, scales, and regional norms for comprehensive evaluation.

Takeaway

This study created a smart system to help high school students do better in math by understanding their feelings and attitudes about learning.

Methodology

The study developed an intelligent system that integrates assessment tools and personalized strategies, tested across multiple schools in China.

Limitations

The system lacks integration of contextual factors, which may limit its understanding of the underlying causes of non-intellectual factors.

Participant Demographics

Senior high school students (grades 10 to 12, aged 15 to 18) from various regions in China.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/jintelligence12120126

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