Automated short answer grading (ASAG) has gained attention in education as a means to
scale educational tasks to the growing number of students. Recent progress in Natural …

Automated short-answer grading (ASAG) methods using deep neural networks (DNN) have
achieved state-of-the-art accuracy. However, further improvement is required for high-stakes …

This project proposes using BERT (Bidirectional Encoder Representations from
Transformers) as a tool to assist educators with automated short answer grading (ASAG) as …

Automatic short answer grading remains one of the key challenges of any dialog-based
tutoring system due to the variability in the student answers. Typically, each question may …

Assessment plays an important role in education. Recently proposed machine learning-
based systems for answer grading demand a large training data which is not available in …

The ability to create and sustain educational infrastructure is a major challenge to nations
across the world. Today, information technology is increasingly being used to alleviate this …

In this paper, we investigate the opportunities of automating the judgment process in online
one-on-one math classes. We build a Wide & Deep framework to learn fine-grained …

Accurately judging students' ongoing performance is very crucial for real-world educational
scenarios. In this work, we focus on the task of automatically predicting students' levels of …

Abstract In Higher Education, language itself is rarely the focus of attention for either
teachers or learners. Yet, language provides a vital window into student understanding. It …

項目反応理論では異なるテストを受検した受検者を同一尺度上で評価することができる. しかし,
そのためには受検者の同一母集団からの独立ランダムサンプリングを仮定し …