Design and Implementation of an Automatic Grading System for Programming Code Based on Artificial Intelligence

This paper proposes an automatic grading system for programming code based on artificial intelligence, aiming to improve the efficiency and accuracy of grading programming assignments. The system "Semantic-Structure Fusion Scoring Algorithm" (SSFS) combines code semantic understanding and...

Full description

Saved in:
Bibliographic Details
Published in:2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA) pp. 1846 - 1851
Main Author: Jiang, Guoyu
Format: Conference Proceeding
Language:English
Published: IEEE 28.06.2025
Subjects:
Accuracy
Artificial intelligence
automatic scoring system
Codes
Computer languages
Education
programming code
Programming profession
semantic-structural fusion scoring algorithm
Semantics
Standardization
Syntactics
Vectors
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This paper proposes an automatic grading system for programming code based on artificial intelligence, aiming to improve the efficiency and accuracy of grading programming assignments. The system "Semantic-Structure Fusion Scoring Algorithm" (SSFS) combines code semantic understanding and structural analysis to accurately evaluate code quality. In terms of semantic understanding, natural language processing technology is used to convert the code into semantic vectors to capture the logical meaning of the code; structural analysis uses abstract syntax trees to analyze the integrity and standardization of the code structure. The experiment selected 1,000 programming assignments of different difficulty levels, covering a variety of programming languages. The results show that the average similarity between the SSFS algorithm score and the professional teacher score reached 93%, which is 25% higher than the traditional scoring algorithm based on keyword matching. The system scoring takes an average of only 3 seconds, which is much more efficient than manual scoring. At the same time, for assignments of different difficulty levels, the scoring accuracy is maintained above 90%, which fully verifies the effectiveness of the system and algorithm, and provides an efficient and reliable solution for programming teaching and evaluation.
AbstractList This paper proposes an automatic grading system for programming code based on artificial intelligence, aiming to improve the efficiency and accuracy of grading programming assignments. The system "Semantic-Structure Fusion Scoring Algorithm" (SSFS) combines code semantic understanding and structural analysis to accurately evaluate code quality. In terms of semantic understanding, natural language processing technology is used to convert the code into semantic vectors to capture the logical meaning of the code; structural analysis uses abstract syntax trees to analyze the integrity and standardization of the code structure. The experiment selected 1,000 programming assignments of different difficulty levels, covering a variety of programming languages. The results show that the average similarity between the SSFS algorithm score and the professional teacher score reached 93%, which is 25% higher than the traditional scoring algorithm based on keyword matching. The system scoring takes an average of only 3 seconds, which is much more efficient than manual scoring. At the same time, for assignments of different difficulty levels, the scoring accuracy is maintained above 90%, which fully verifies the effectiveness of the system and algorithm, and provides an efficient and reliable solution for programming teaching and evaluation.
Author Jiang, Guoyu
Author_xml – sequence: 1
  givenname: Guoyu
  surname: Jiang
  fullname: Jiang, Guoyu
  email: Jgy1326@163.com
  organization: Guangdong Hotel Management Vocational and Technical College,Dongguan,China
BookMark eNo10E1OwzAQBWAjwQJKb8DCHKDF_4mXIUCJVIlKdF9Nk3FkKbarxCx6e1JBVyN9T-8t5oHcxhSRkGfO1pwz-9LUza6ujDZKrwUTelYuLdPFDVnawpZSci1Eqfg9iW84-T5SiB1twmnAgDFD9inS5Gal1U9OYYaWbkbofOzp93nKGKhLI92NqR8hhAvXqUP6ChN2dC5XY_bOtx4G2sSMw-B7jC0-kjsHw4TL_7sg-4_3ff252n5tmrrarryVeYVCdcKVgqmSl1CCNe7oWm0EaC25U5fcQlc4hoVTCpkRR6uOxlijgVuQC_L0N-sR8XAafYDxfLh-Qf4CQyBYxA
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICIPCA65645.2025.11139057
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Education
EISBN 9798331522841
EndPage 1851
ExternalDocumentID 11139057
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i93t-e24d2f8204818a8a96fbfc562a5531f4e24d9ad7f0e7f44e062b94b66965a19a3
IEDL.DBID RIE
IngestDate Wed Sep 10 07:40:45 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i93t-e24d2f8204818a8a96fbfc562a5531f4e24d9ad7f0e7f44e062b94b66965a19a3
PageCount 6
ParticipantIDs ieee_primary_11139057
PublicationCentury 2000
PublicationDate 2025-June-28
PublicationDateYYYYMMDD 2025-06-28
PublicationDate_xml – month: 06
  year: 2025
  text: 2025-June-28
  day: 28
PublicationDecade 2020
PublicationTitle 2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA)
PublicationTitleAbbrev ICIPCA
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.9132866
Snippet This paper proposes an automatic grading system for programming code based on artificial intelligence, aiming to improve the efficiency and accuracy of grading...
SourceID ieee
SourceType Publisher
StartPage 1846
SubjectTerms Accuracy
Artificial intelligence
automatic scoring system
Codes
Computer languages
Education
programming code
Programming profession
semantic-structural fusion scoring algorithm
Semantics
Standardization
Syntactics
Vectors
Title Design and Implementation of an Automatic Grading System for Programming Code Based on Artificial Intelligence
URI https://ieeexplore.ieee.org/document/11139057
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ1JT8MwEIUtWiHEia2IXUbi6i6u4-VYAoVKqOqhQr1VdjyWemiCQsLvx3ZTlgMHbtFkk-xEM07e-wahOz70dS5wRhJjgTBmM6L8qoFoDYpqO9AmOuReX8R0KhcLNWvM6tELAwBRfAbdsBn_5dsiq8Onsl5oi658gdFCLSHExqy1h24bbmZvkk5m6YgHPopf-NGkuz3-V-eUmDjGB_-85SHqfFvw8OwruRyhHciPQ4vlRo5xgvKHqL3AOrc4In7XjYsox4XzUTyqqyLyWPFTGYXyeEMnx75MDZcOsqx1CKeFBXzvs5nF_uRRGdVD_rHEkx-4zg6ajx_n6TNpmieQlRpWBCiz1MmA5R1ILbXizrjMFzs68W-dY2G_0la4PgjHGPQ5NYoZzhVP9EDp4Slq50UOZwgbDVYoSQOanmVKGpNxZynXQKGvGT1HnTBuy7cNHmO5HbKLP-KXaD_MTtBbUXmF2lVZwzXazT6q1Xt5Eyf1E0rEpaE
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ27T8MwEMYtKAiYeBXxxkisaRvXceyxBEojStWhQt0qOz5LHZqgkPL3Y7spj4GBLbrIiWQnunPyfb9D6I51bZ0LjAaR0hBQqrNA2F1DICUIInUolXfIvQ7j0YhPp2Jcm9W9FwYAvPgMWu7Q_8vXRbZ0n8rari26sAXGJtqKKCXhyq61g25rcmY7TdJx0mOOkGK3fiRqrUf86p3iU0d__583PUDNbxMeHn-ll0O0AfmRa7JcCzKOUf7g1RdY5hp7yO-i9hHluDA2invLqvBEVvxUeqk8XvHJsS1U3aWdMGvhwkmhAd_bfKaxHdwrvX7IPpg4_QHsbKJJ_3GSDIK6fUIwF90qAEI1MdyBeUMuuRTMKJPZckdG9r0z1J0XUsemA7GhFDqMKEEVY4JFMhSye4IaeZHDKcJKgo4FJw5OTzPBlcqY0YRJINCRlJyhppu32dsKkDFbT9n5H_EbtDuYvAxnw3T0fIH23Eo59RXhl6hRlUu4QtvZRzV_L6_9An8CE6qo6A
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2025+IEEE+3rd+International+Conference+on+Image+Processing+and+Computer+Applications+%28ICIPCA%29&rft.atitle=Design+and+Implementation+of+an+Automatic+Grading+System+for+Programming+Code+Based+on+Artificial+Intelligence&rft.au=Jiang%2C+Guoyu&rft.date=2025-06-28&rft.pub=IEEE&rft.spage=1846&rft.epage=1851&rft_id=info:doi/10.1109%2FICIPCA65645.2025.11139057&rft.externalDocID=11139057