Development of a Training Data Creation Support Environment for Estimating Programming Learning Situations

Shota Kawaguchi, Tadashi Nishikawa, Yoshiki Sato, R. Onuma, H. Nakayama, Shoichi Nakamura, Y. Miyadera
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引用次数: 0

Abstract

Programming has recently become taught more widely. As teachers often need to correspond with a large number of students, they have difficulty grasping individual student learning situations. Therefore, we previously developed a method to estimate the learning situations of students from the source code editing history that reflects their trial-and-error processes. However, this method burdens the teachers by requiring them to prepare a large amount of training data. In this paper, we present Everest: an exercise environment for programming to reduce the burden of training data creation. In Everest, training data is created through student reflection. As a result, introducing Everest can reduce the data creation burden on teachers.
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用于估计编程学习情况的训练数据创建支持环境的开发
最近,编程的教学越来越广泛。由于教师经常需要与大量的学生进行沟通,他们很难掌握个别学生的学习情况。因此,我们以前开发了一种方法来估计学生的学习情况,从源代码编辑历史,反映他们的试错过程。但是,这种方法需要教师准备大量的训练数据,给教师带来了负担。在本文中,我们提出了Everest:一个用于编程的练习环境,以减少训练数据创建的负担。在珠峰,训练数据是通过学生的反思创建的。因此,引入Everest可以减轻教师创建数据的负担。
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