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作 者:武法提[1] 王兆雪 Wu Fati;Wang Zhaoxue(Faculty of Education,Beijing Normal University,Beijing 100875)
机构地区:[1]北京师范大学教育学部教育技术学院,北京100875
出 处:《中国远程教育》2024年第3期43-55,共13页Chinese Journal of Distance Education
基 金:国家社会科学基金2020年度教育学一般课题“基于人机智能协同的精准学习干预研究”(课题编号:BCA200080)。
摘 要:设计类问题解决能力是21世纪学习者必备的关键技能,对其进行精准测评,有助于面向智能时代的创新性人才的培养。本研究以设计类问题解决能力的多模态测评为目标,在已有测评框架基础上开展实证研究以验证其有效性,实验共招募181名被试,获取被试在设计类问题解决过程中的生理数据、交互式文本数据和心理问卷数据,分别采用BERT算法、随机森林算法和关键词词频分析法等数据挖掘方法对反思调节、同理心、观点建构、组织协调维度进行量化表征,最终通过多元回归法进行数据融合,对设计类问题解决能力进行过程性、精准化、个性化评估。结果表明,采用多模态数据表征和量化设计类问题解决能力可达72.5%的准确率。研究为多模态数据表征学习者高阶能力提供了新的思路与方法,为实现设计类问题解决能力的自动化测评提供了有力的支撑,为在真实教学环境中进行设计类问题解决能力的培养和干预奠定了基础。Design problem-solving ability is a necessary skill for learners in the 21st century.Accurate assessment of it will help cultivate innovative talents for the intelligent age.The research aimed at the multimodal evaluation of design problem-solving ability,and carried out empirical research on the basis of the existing evaluation framework to verify its effectiveness.The experiment recruited 181 subjects,and obtained the physiological data,interactive text data,and psychological questionnaire data of the subjects in the process of solving design problems.Data mining methods such as BERT algorithm,random forest algorithm and keyword frequency analysis were used to quantitatively characterize the dimensions of reflection adjustment,empathy,viewpoint construction,and organizational coordination.Finally,multiple regression methods were used for data fusion,and problem-solving ability was assessed in a procedural,precise and individualized manner.The results showed that the accuracy rate of 72.5%can be achieved by using multimodal data representation and quantitative design problem solving ability.The research provided new ideas and methods for multimodal data representation of learners’high-level abilities,and provided strong support for the subsequent realization of automatic evaluation of design problem-solving abilities,and laid the foundation for the future training and intervention of design problem-solving abilities in real teaching environments.
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