Moreover, the labeled data for short answer grading have question and reference answer pairs available but contextual information between the pairs and even just questions are easily ignored.
in this research, we aim to explore and evaluate various methods of updating the pre-trained BERT language model (LM) * on such domain-specific available resources in the context of ASAG to answer the following research questions.