基于知识结构的高中数学智能诊断系统的建构与应用

Construction and Application of High School Mathematics Adaptive Diagnosis System Based on Knowledge Structure

为了精确找到学生解题错误的原因并进行定制化的诊断补救,以学习诊断理论为基础,通过绘制专家知识结构图,构建了基于高中数学知识结构的智能化教学诊断系统(ADLS系统)。ADLS系统主要由准备模块、测验模块和学习诊断模块构成,学习者在系统操作时主要经历“学习—检测—诊断分析—干预—目标达成—效果评价”等步骤。借助诊断性测验,测评者可以直接获取学习者的学习数据,利用数据分析技术,呈现可视化的、精准的学习诊断结果,并有针对性地补救教学。实践表明,ADLS系统能有效地改善学生的知识结构,提高学生的学习自由度和学习效率,提升教师的教学效率,但在题库的更新、题型的多样化,以及人机互动更加人性化等方面还需进一步深入研究和拓展。

Based on the theory of learning diagnosis,this study builds an adaptive diagnosis and learning system(ADLS)of high school Mathematics by drawing knowledge structure map to accurately find out the causes of students’errors and provide customized diagnosis and remedy.ADLS is mainly composed of preparation module,test module and learning diagnosis module.Learners mainly experience“learning,examination,diagnosis analysis,intervention,goal achievement,effect evaluation”and so on in system operation.With the help of diagnostic tests and data analysis technology,learners’learning data is obtained directly and analyzed to present the visual and accurate learning diagnosis which helps teachers to carry on the targeted remedial teaching.Practice shows that ADLS plays a key role in students’self-reflection and can effectively improve students’knowledge structure.Besides,the study also proves that ADLS has the advantages of promoting students’self-learning,and improving students’learning efficiency and teachers’teaching efficiency.At the same time,further researches on the update of the question bank,the variety of questions,and more humanized human-computer interaction and so on are needed.