Machine learning approach for automatic short answer grading: A systematic review
In this systematic review, we investigate the automatic short answer grading (ASAG) field,
which focuses on assessing short natural language responses to questions in an automatic …
which focuses on assessing short natural language responses to questions in an automatic …
Survey on automated short answer grading with deep learning: from word embeddings to transformers
S Haller, A Aldea, C Seifert, N Strisciuglio - ar** Review
Automatic grading of short answers is an important task in computer-assisted assessment
(CAA). Recently, embeddings, as semantic-rich textual representations, have been …
(CAA). Recently, embeddings, as semantic-rich textual representations, have been …
A deep-learning-based grading system (ASAG) for reading comprehension assessment by using aphorisms as open-answer-questions
Today reading comprehension is considered an essential skill in modern life, therefore,
higher education students require more specific skills to understand, interpret and evaluate …
higher education students require more specific skills to understand, interpret and evaluate …
Automatic grading for Arabic short answer questions using optimized deep learning model
Auto-grading of short answer questions is considered a challenging problem in the
processing of natural language. It requires a system to comprehend the free text answers to …
processing of natural language. It requires a system to comprehend the free text answers to …
Autograding" explain in plain english" questions using nlp
Previous research suggests that" Explain in Plain English"(EiPE) code reading activities
could play an important role in the development of novice programmers, but EiPE questions …
could play an important role in the development of novice programmers, but EiPE questions …
Ans2vec: A scoring system for short answers
Automatic scoring is a complex task in computational linguistics, particularly in an
educational context. Sentences vectors (sent2vec) approaches affirmed their prosperity …
educational context. Sentences vectors (sent2vec) approaches affirmed their prosperity …
Empowering short answer grading: Integrating transformer-based embeddings and BI-LSTM network
Automated scoring systems have been revolutionized by natural language processing,
enabling the evaluation of students' diverse answers across various academic disciplines …
enabling the evaluation of students' diverse answers across various academic disciplines …
On the application of sentence transformers to automatic short answer grading in blended assessment
In Natural Language Processing, automatic short answer grading remains a necessary
launch-pad for the analysis of human responses in a blended learning setting. This study …
launch-pad for the analysis of human responses in a blended learning setting. This study …