Feature Engineering and Ensemble-Based Approach for Improving Automatic Short-Answer Grading Performance-Reference-Cited by-同舟云学术

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Feature Engineering and Ensemble-Based Approach for Improving Automatic Short-Answer Grading Performance

Published:2020-01-01 Issue:1 Volume:13 Page:77-90
ISSN:1939-1382
Container-title:IEEE Transactions on Learning Technologies
language:
Short-container-title:IEEE Trans. Learning Technol.

Author:

Sahu Archana^ORCID,Bhowmick Plaban Kumar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,General Engineering,Education

Link

http://xplorestaging.ieee.org/ielx7/4620076/9042912/08636967.pdf?arnumber=8636967

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Machine Learning Based Auto-Grading Model for Question-Based Algebra Problems using RoBERTa;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. SPRAG: building and benchmarking a Short Programming-Related Answer Grading dataset;International Journal of Data Science and Analytics;2024-06-04

3. Automatic assessment of text-based responses in post-secondary education: A systematic review;Computers and Education: Artificial Intelligence;2024-06

4. Enhancing NLP-Based Educational Assessment: A Node-Based Graph Approach for Analyzing Freeform Student Texts;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

5. Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits;Lecture Notes in Computer Science;2024

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