In recent years, the role of big data analytics has exponentially grown and
is now slowly making its way into the education industry. Several attempts are
being made in this sphere in order to improve the quality of education being
provided to students and while many collaborations have been carried out
before, automated scoring of answers has been explored to a rather limited
extent. One of the biggest hurdles to choosing constructed-response assessments
over multiple-choice assessments is the effort and large cost that comes with
their evaluation and this is precisely the issue that this project aims to
solve. The aim is to accept raw-input from the student in the form of their
answer, preprocess the answer, and automatically score the answer. In addition,
we have made this a real-time system that captures "snapshots" of the writer's
progress with respect to the answer, allowing us to unearth trends with respect
to the way a student thinks, and how the student has arrived at their final
answer.

本文旨在通过大数据分析和自动评分技术，解决开放式问答评估所面临的高成本和低效率的困难，构建一个能够实时记录学生答题进程并进行评分的系统，以改善教育质量。