An E-Assessment Methodology Based on Artificial Intelligence Techniques to Determine Students' Language Quality and Programming Assignments' Plagiarism

被引：6

作者：

Ullah, Farhan ^{[1
,4
]}

Bajahzar, Abdullah ^{[2
]}

Aldabbas, Hamza ^{[3
]}

Farhan, Muhammad ^{[4
]}

Naeem, Hamad ^{[1
]}

Bukhari, S. Sabahat H. ^{[4
,5
]}

Malik, Kaleem Razzaq ^{[6
]}

机构：

[1] Sichuan Univ, Coll Comp Sci, Chengdu 610065, Peoples R China

[2] Majmaah Univ, Coll Sci Zulfi, Dept Comp Sci & Informat, Zulfi 11932, Saudi Arabia

[3] Al Balqa Appl Univ, Prince Abdullah Bin Ghazi Fac Informat & Technol, Al Salt, Jordan

[4] COMSATS Univ Islamabad, Dept Comp Sci, Sahiwal Campus, Sahiwal 57000, Pakistan

[5] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China

[6] Air Univ, Dept Comp Sci & Engn, Multan Campus, Multan 60000, Pakistan

来源：

INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2020年 / 26卷 / 01期

关键词：

Electronic-Assessment; Machine Learning; Artificial Intelligence; WordNet; Technology Enhanced Assessment; Semantic Similarity;

D O I：

10.31209/2019.100000138

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This research aims to an electronic assessment (e-assessment) of students' replies in response to the standard answer of teacher's question to automate the assessment by WordNet semantic similarity. For this purpose, a new methodology for Semantic Similarity through WordNet Semantic Similarity Techniques (SS-WSST) has been proposed to calculate semantic similarity among teacher' query and student's reply. In the pilot study-1 42 words' pairs extracted from 8 students' replies, which marked by semantic similarity measures and compared with manually assigned teacher's marks. The teacher is provided with 4 bins of the mark while our designed methodology provided an exact mcamre of marks. Secondly, the source codes plagiarism in students' assignments provide smart e-assessment. The WordNet semantic similarity techniques are used to investigate source code plagiarism in binary search and stack data structures programmed in C++, Java, C# respectively.

引用

下载

页码：169 / 180

页数：12

共 6 条

[1] Plagiarism detection in students’ programming assignments based on semantics: multimedia e-learning based smart assessment methodology
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[2] Plagiarism detection in students' programming assignments based on semantics: multimedia e-learning based smart assessment methodology
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