基于数据挖掘的肿瘤学课程计算机辅助教学系统设计  

Design of Computer Aided Instruction System for Oncology Course Based on Data Mining

作　　者：谢蕊[1] XIE Rui(Cancer Hospital Affiliated to Harbin Medical University,Harbin 150081,China)

机构地区：[1]哈尔滨医科大学附属肿瘤医院,黑龙江哈尔滨150081

出　　处：《微型电脑应用》2022年第4期22-25,共4页Microcomputer Applications

基　　金：黑龙江省教育科学规划省专项重点课题(GJE1320128)。

摘　　要：为了强化教学系统动态信息适应性,减少系统响应时长,以数据挖掘为技术背景,针对肿瘤学课程设计一款计算机辅助教学系统。采用数据挖掘技术,挖掘学生学习能力,聚类学生学习特征,将合适的学习资源与建议针对性地推荐给学生,实现教师因材施教;利用教学界面、教学子系统、教学规则库与学生信息库、教学资源库等模块,构建系统整体框架,按照用户权限划分角色功能,设计系统教学流程,根据数据库组建流程,创建星状数据仓库,完成计算机辅助教学系统设计。据实验检测结果可知,所建系统动态信息获取与聚类效果准度较高,整体响应时间较短。In order to strengthen the dynamic information adaptability of the teaching system and reduce the response time of the system,a computer-aided teaching system for oncology course is constructed based on data mining technology.Data mining technology is used to mine students’learning ability,cluster students’learning characteristics,and recommend appropriate learning resources and suggestions to students,so that teachers can teach students in accordance with their aptitude by using teaching interface,teaching subsystem,teaching rule base,student information base,teaching resource base and other modules.The overall framework of the system is constructed,and the role function is divided according to the user permissions,and the department is designed according to the process of database construction,star data warehouse is created,and the design of CAI system is completed.According to the experimental results,the accuracy of dynamic information acquisition and clustering effect of the system is high,and the overall response time is short.

关 键 词：数据挖掘 肿瘤学课程 计算机辅助教学 教学系统 学习特征聚类 学习能力挖掘 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]