面向混合式教学的计算机实验管理平台设计与应用-《计算机技术与发展》

文章信息/Info

Title:: Design and Application of Computer Experimental ManagementPlatform for Blended Teachin

Author(s):: BO Jun-ge* ; QI Qi; WU Ning; FANG Chen-chen; School of Computer Science and Technology,Xi’ an Jiaotong University,Xi’ an 710049,China

Keywords:: blended teaching; automatic code evaluation; online and offline; university computer courses; visualization

摘要:: 针对在混合式教学中线上学习环节缺乏学习跟踪反馈和个性化引导,以及目前多数 OJ 系统对学生在编程实验过程中出现的编译或运行错误缺乏及时有效指导的问题,开发了集在线交互式练习、自动评测、个性化学习状况反馈等功能于一体的计算机实验教学管理平台。平台主要特色功能包括两点:一是在线学习的过程跟踪个性化反馈。基于学生线上线下的行为数据,通过大数据学习,预测学生未来的成绩等级,结合可视化技术,向学生定期反馈个性化学习状况,对教学双方达到预警的目的。二是编程题的在线自动即时评判。通过检测学生代码的编译信息和测试用例信息,应用编辑距离,自适应给出学生代码出错原因并给出反馈指导,帮助学生快速找到代码出错位置并有针对地进行修改。该文重点介绍了其具体应用案例和应用效果。

Abstract:: We developed a computer experimental teaching management platform integrating online interactive exercises, automaticevaluation,personalized learning feedback and other functions that addresses the lack of learning tracking feedback and personalizedguidance in the online learning component of blended teaching, as well as the lack of timely?
and effective guidance for students ’compilation or runtime errors in most OJ ( Online Judge) systems during programming experiments. The main characteristics of theplatform include two points:one is the process of online learning tracking personalized feedback. Based on students’ online and offlinebehavior data,it predicts students’ future grades through big data learning,and combines visualization technology to give students regularfeedback on personalized learning status,so as to achieve the purpose of early warning for both students and instructors. The second is theonline automatic instant evaluation of programming questions. By detecting the compilation information and test case information ofstudents’ code,applying the editing distance,it adaptively gives the reasons for students’ code errors and gives feedback guidance to helpstudents quickly find the error location of code and modify it in a targeted way. We focus on presenting specific application cases and theeffectiveness of the platform.