Automated assessment of subjective assignments: A hybrid approach

作者：

Highlights：

• 3 layer neural networks outperform other ML algorithms in automated assessments.

• In subjective assignments, deep neural networks can improve score prediction.

• Word embeddings and linguistic feature results in more precise text mining models.

• Extraction and selection of appropriate features can improve results.

摘要

•3 layer neural networks outperform other ML algorithms in automated assessments.•In subjective assignments, deep neural networks can improve score prediction.•Word embeddings and linguistic feature results in more precise text mining models.•Extraction and selection of appropriate features can improve results.

论文关键词：Text mining,Feature extraction,Feature selection,Machine learning,Deep learning

论文评审过程：Received 2 August 2021, Revised 31 January 2022, Accepted 23 April 2022, Available online 29 April 2022, Version of Record 7 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117315