arXiv:2501.10368cs.CYcs.AI2025-01中稿 · Commentarii Inform…被引 2

通过构建答案类别,让教师从错题中发现教学盲点。

The Potential of Answer Classes in Large-scale Written Computer-Science Exams -- Vol. 2

  • 为每道题预设预期答案类别,对学生的回答进行归类分析。
  • 462名学生、41道题的实验中,教师普遍认可该方法的价值。
  • 适合高校教师改进考试评估,挖掘学习误区。

学生作答是教学中宝贵的信息来源,反映了其认知过程与学习内容的关联。随着课程规模扩大,分析学生作答成为了解学习成效的唯一途径。然而,传统评价仅关注对错,忽视了错误答案的诊断价值。本文在462名学生、41道题的大学考试中,引入答案类别(answer classes)概念:教师预先设定各类预期回答,并在批改时将学生作答归类。该方法促使教师转变观念,尽管起初质疑投入产出比,但最终认为极具价值。研究还基于此开发了支持纸笔考试的答案类别批改系统,并提出数字版本的新应用潜力。

原文摘要 · Abstract (English)

Students' answers to tasks provide a valuable source of information in teaching as they result from applying cognitive processes to a learning content addressed in the task. Due to steadily increasing course sizes, analyzing student answers is frequently the only means of obtaining evidence about student performance. However, in many cases, resources are limited, and when evaluating exams, the focus is solely on identifying correct or incorrect answers. This overlooks the value of analyzing incorrect answers, which can help improve teaching strategies or identify misconceptions to be addressed in the next cohort. In teacher training for secondary education, assessment guidelines are mandatory for every exam, including anticipated errors and misconceptions. We applied this concept to a university exam with 462 students and 41 tasks. For each task, the instructors developed answer classes -- classes of expected responses, to which student answers were mapped during the exam correction process. The experiment resulted in a shift in mindset among the tutors and instructors responsible for the course: after initially having great reservations about whether the significant additional effort would yield an appropriate benefit, the procedure was subsequently found to be extremely valuable. The concept presented, and the experience gained from the experiment were cast into a system with which it is possible to correct paper-based exams on the basis of answer classes. This updated version of the paper provides an overview and new potential in the course of using the digital version of the approach.

考试评估答案分类教学改进

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