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“一张试卷,它带给我们的数据是什么?分数的背后,还能读到什么有价值的信息?不得不承认,对于学生,我们知道的太少。”——这是卡耐基在梅隆大学教育学院介绍中的一句直白。其实,如果我们拥有足够的技术与耐心,我们还可以得到许多充满想象力的数据:每一大题的得分,每一小题的得分,每一题选择了什么选项,每一题花了多少时间,是否修改过选项,做题的顺序有没有跳跃,什么时候翻卷子,有没有时间进行检查,检查了哪些题目,涂改了哪些题目……等等,这些信息,远远比一个分数要
“A test paper, what is the data it brings us? Behind the score, can we read any valuable information? We must admit that for the students, we know too little.” - This is Carnegie’s A straightforward introduction in the introduction of the Faculty of Education of Mellon University. In fact, if we have enough technology and patience, we can also get a lot of imaginative data: the score for each big question, the score for each question, what options are selected for each question, and how much each question has spent Time, whether the options were modified, whether there was a jump in the order of the questions, when the papers were rolled, whether there was time to check, which questions were checked, which questions were altered, etc. These were far more than a score.