基于云班课人工智能应用的过程性评价研究

Research on Process Evaluation by the Application of Artificial Intelligence Based on Cloud Class

目的利用云班课软件的教学数据收集、人工智能分析与学业预警功能,在课程的过程性评价中探索人工智能技术的应用效果,构建科学的课程教学过程评价方法。方法通过收集2017年3月~2019年7月间本教研室应用云班课APP进行课程教学的17门课程,796人次的云班课数据,构建了六项过程性评价指标,并与其对应的理论考核成绩进行分析。用SPSS 19.0统计软件分析各项过程评价指标与课程理论考核成绩的相关性,并作线性回归分析,以P<0.05有统计学意义。结果“单元测试”“课程资源学习”“出勤情况”“表扬加分”四项指标与理论考核成绩的相关性有统计学意义;“在线班课活动”“课后作业”两项指标与理论考核成绩的相关性无统计学意义。“出勤情况”“单元测试”“表扬加分”三项指标对期末理论考核成绩的影响有统计学意义;“课程资源学习”“在线班课活动”“课后作业”三项指标对期末理论考核成绩的影响无统计学意义。结论云班课是一线教师进行人工智能辅助教学的有效工具,教师在应用其人工智能学业预警功能时,需适当提高“出勤情况”“单元测试”“表扬加分”三大指标的权重,同时在日常教学中需督促学生切实完成各项教学活动。

Objective By using the teaching data collection,artificial intelligence analysis and academic warning functions of“cloud class”software,the study will explore the application effect of artificial intelligence technology in the course process evaluation,and try to construct a scientific course teaching process evaluation method.Methods By collecting the cloud class data of the 17 courses and 796 students from March 2017 to July 2019 through the application of“cloud class”App,we constructed six process evaluation indexes,and they will be analyzed with the theoretical test results correspondingly.SPSS 19.0 statistical software was used to analyze the correlation between the process evaluation indexes and course theoretical assessment results,and linear regression analysis was conducted.A value of P<0.05 was considered significant.Results The correlation between the four indexes of“unit test”,“course resource learning”,“attendance”and“praise and bonus points”with the scores of the final theoretical examination were statistically significant.There were no statistically significant correlation between the indexes of“online class activity”and“homework”with the scores of the final theoretical examination.The three indexes of“Attendance”,“Unit test scores”and“Praise and bonus score”have significant effects on the scores of the final theoretical examination.The three indexes of“Curse resource learning”,“Online class activities”and“Homework”have no significant influence on the final theoretical examination results.Conclusion“cloud class”is an effective artificial intelligence teaching tool for teachers.Teacher need to raise the three major indexes weight of“attendance”,“unit test scores”,“praise and bonus score”,when using the function of artificial intelligence studies warning.At the same time,teachers should supervise and urge students to finish the teaching activities in the daily work.