Assessment in the Education system plays a significant role in judging student performance.
The present evaluation system is through human assessment. As the number of teachers' …

We present a set of novel neural supervised and unsupervised approaches for determining
the readability of documents. In the unsupervised setting, we leverage neural language …

Automated essay scoring (AES) is a compelling topic in Learning Analytics for the primary
reason that recent advances in AI find it as a good testbed to explore artificial …

Gorman and Bedrick (2019) argued for using random splits rather than standard splits in
NLP experiments. We argue that random splits, like standard splits, lead to overly optimistic …

Currently, cybersecurity plays an essential role in computing and information technology
due to its direct effect on organizations' critical assets and information. Cybersecurity is …

Subjective paper evaluation is a tricky and tiresome task to do by manual labor. Insufficient
understanding and acceptance of data are crucial challenges while analyzing subjective …

Autograding short textual answers has become much more feasible due to the rise of NLP
and the increased availability of question-answer pairs brought about by a shift to online …

Given the current and increasing relevance of research aimed towards the optimization of
teaching and learning experiences in online Education, a plethora of studies regarding the …

The recent increase in the number of courses that are delivered in a blended fashion, before
the effect of the pandemic has even been considered, has led to a concurrent interest in the …

Abstract Machine learning methods can be used to reduce the manual workload in exam
grading, making it possible for teachers to spend more time on other tasks. However, when it …