Auto marking of short answer questions
Short Answering Systems are a useful tool in ensuring that students understand the knowledge that they have learnt in schools. However, the system is difficult to implement as the marking process can be tedious. Therefore, an Automated Short Answer Grading is proposed. In this project, models such a...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167559 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-167559 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-1675592023-07-07T15:50:54Z Auto marking of short answer questions Ng, Wen Cong Lihui Chen School of Electrical and Electronic Engineering ELHCHEN@ntu.edu.sg Engineering::Electrical and electronic engineering Short Answering Systems are a useful tool in ensuring that students understand the knowledge that they have learnt in schools. However, the system is difficult to implement as the marking process can be tedious. Therefore, an Automated Short Answer Grading is proposed. In this project, models such as DistilBert and Sentence Bert are used to attempt to create an Automated Short Answer Grading system with a high accuracy. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-30T01:06:56Z 2023-05-30T01:06:56Z 2023 Final Year Project (FYP) Ng, W. C. (2023). Auto marking of short answer questions. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167559 https://hdl.handle.net/10356/167559 en application/pdf Nanyang Technological University |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
Engineering::Electrical and electronic engineering |
| spellingShingle |
Engineering::Electrical and electronic engineering Ng, Wen Cong Auto marking of short answer questions |
| description |
Short Answering Systems are a useful tool in ensuring that students understand the knowledge that they have learnt in schools. However, the system is difficult to implement as the marking process can be tedious. Therefore, an Automated Short Answer Grading is proposed. In this project, models such as DistilBert and Sentence Bert are used to attempt to create an Automated Short Answer Grading system with a high accuracy. |
| author2 |
Lihui Chen |
| author_facet |
Lihui Chen Ng, Wen Cong |
| format |
Final Year Project |
| author |
Ng, Wen Cong |
| author_sort |
Ng, Wen Cong |
| title |
Auto marking of short answer questions |
| title_short |
Auto marking of short answer questions |
| title_full |
Auto marking of short answer questions |
| title_fullStr |
Auto marking of short answer questions |
| title_full_unstemmed |
Auto marking of short answer questions |
| title_sort |
auto marking of short answer questions |
| publisher |
Nanyang Technological University |
| publishDate |
2023 |
| url |
https://hdl.handle.net/10356/167559 |
| _version_ |
1772825512129855488 |