【作者】 徐胜舟； 帖军；

【Author】 Xu Shengzhou;Tie Jun;School of Computer Science of South-Central Minzu University;

【机构】 中南民族大学计算机学院；

【摘要】 针对Java EE程序设计传统教学中存在的学生基础与学习能力差异较大、理论教学与实践脱节、教学评估方式单一等问题,本文研究基于知识图谱的教学模式。通过构建Java EE课程知识图谱,依据学生特征设计个性化学习路径,并利用数据分析实现智能化教学评估系统。实践结果表明,该模式显著提升了教学质量:定量评估显示课程目标1(基础知识与分布式开发能力)达成度提升22%,课程目标2(工程问题分析与设计能力)达成度提升5%,课程目标3(文档表达能力)保持0.89的稳定水平;定性评估中,大多数学生对各教学目标达成表示满意,92%认为课程收获显著,教师反馈该模式可精准掌握学生动态并优化教学策略。该模式为计算机专业课程建设与改革提供了新的思路和方法。更多还原

【Abstract】 Aiming at the problems existing in traditional teaching of Java EE programming,such as significant differences in students’ foundational knowledge and learning abilities,disconnection between theoretical teaching and practice,and singular teaching evaluation methods,this paper investigates a knowledge graph-based teaching model.By constructing a Java EE course knowledge graph,designing personalized learning paths based on student characteristics,and implementing an intelligent teaching evaluation system using data analysis,practice results show that this model significantly improved teaching quality:Quantitative evaluation indicates that the achievement rate of Course Objective 1(foundational knowledge and distributed development capabilities) increased by 22%,Course Objective 2(engineering problem analysis and design capabilities) by 5%,and Course Objective 3(documentation and expression skills)maintained a stable level of 0.89;In qualitative assessment,most students expressed satisfaction with the achievement of teaching objectives,92% reported significant course gains,and teachers feedback that the model enables accurate tracking of student progress and optimization of teaching strategies.This model provides new insights and methods for the construction and reform of computer science courses.更多还原