Kang Yueyuan, Wang Guangming, Liu Luxuan, Liu Jing, Gao Qianqian
Faculty of Education, Tianjin Normal University, Tianjin 300387, China.
Tianjin Academy of Educational Science, Tianjin 300191, China
J Intell. 2024 Dec 11;12(12):126. doi: 10.3390/jintelligence12120126.
Non-intellectual factors in mathematics are key psychological factors that influence students' cognitive activities and, consequently, their learning efficiency. While the assessment of these factors has gained increasing academic attention, research on the effective use of intelligent tools to assess and improve students' non-intellectual factors remains insufficient. This study employed intelligent technology to develop the Intelligent Assessment and Strategy Implementation System for Non-intellectual Factors in Mathematics Learning for Primary and Secondary School Students, which integrates an assessment index system, scales, regional norms, and personalized improvement strategies, enabling it to automatically generate bulk reports on students' non-intellectual factor scores across various dimensions and provide targeted improvement strategies. In order to test its effectiveness, the intelligent system was applied across several provinces, cities, and schools in China. Eleventh-grade students from X Middle School in T City served as a representative case study. The interventions were based on the strategies provided by the system, and the research consistently demonstrated that the "Intelligent Assessment and Strategy Implementation System of Mathematics Non-intellectual Factors for Primary and Secondary School Students" effectively delivers high-precision diagnoses and personalized intervention strategies.
数学学习中的非智力因素是影响学生认知活动进而影响其学习效率的关键心理因素。尽管对这些因素的评估已越来越受到学术关注，但利用智能工具评估和改善学生非智力因素的有效研究仍显不足。本研究运用智能技术开发了“中小学生数学学习非智力因素智能测评与策略实施系统”，该系统整合了测评指标体系、量表、区域常模和个性化提升策略，能够自动生成学生多维度非智力因素得分的批量报告，并提供针对性的改进策略。为检验其有效性，该智能系统在中国多个省、市、学校进行了应用。T市X中学的高一年级学生作为代表性案例进行了研究。干预措施基于该系统提供的策略，研究一致表明“中小学生数学非智力因素智能测评与策略实施系统”能有效提供高精度诊断和个性化干预策略。
