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Faculty of Comp. Science and Info. Sys

University of Technology Malaysia

Malaysia

Faculty of Comp. Science and Info. Sys.

Taif University

Saudi Arabia

PhD Researcher

(Educational Technology )

University of Technology Malaysia

Malaysia

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The ease of teaching and learning through e-learning

systems congregates the difficulty of ensuring the

intellectual property of students’ submitted work.

With the ease of using the Internet to access vast

amount of information, the problem of plagiarismhas horribly increased.

E-Learning systems have gained popularity as a

valuable educational environment.

Saudi Arabia has emerged the use of e-learning

systems in its universities and schools.

How can we ensure dealing with

plagiarism in e-learning systems?

How is plagiarism going to be

detected and dealt with?

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• Plagiarism Detection Tools

• E-Learning System Paradigm for Arabic

Assignment Submission

• Plagiarism Detection Paradigm

• Arabic Plagiarism Detection Paradigm for E-

Learning Systems

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PLAGIARISM DETECTION TOOLS

WEB-ENABLED TOOLS

Turnitin SafeAssign

STAND-ALONE TOOLS

EVE2 WCopyFind

EVE2 WordCopyFind

STANDALONE TOOLS

PLAGIARISM DETECTION TOOLS

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Turnitin SafeAssign

WEB-ENABLED TOOLS

PLAGIARISM DETECTION TOOLS

Most of the current tools are meant for English.

That reflects the need of highlighting the problem of

plagiarism in Arabic and finding proper techniques to solve it.

Arabic Plagiarism Detection (APD) tool can help educators

in:

Preventing plagiarism by detecting unoriginal content

in students’ assignments and papers.

Marking and judging the students’ work.

Educating students about plagiarism and importance of

proper attribution of any borrowed content.

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• E-Learning System Paradigm for Arabic Assignment Submission

• Plagiarism Detection Paradigm

• Arabic Plagiarism Detection Paradigm for E-Learning Systems

Parallel E-Classrooms Reports / Assignments DB Plagiarism Detection

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2 Core

Components

4Major

Requirements

4 Essential

Stages

2 Core

Components

4Major

Requirements

4 Essential

Stages

APD Tool: to detect plagiarism automatically.

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ArabicPlagairismDetection StudentTeacher

13/15 Arabic Plagiarism Detection - Presenter: Salha Alzahrani, 2008

•APD is a novel web-enabled tool specific for plagiarism detection in

Arabic documents.

•APD tool designed so that it can be integrated with e-learning systems.

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Some

Interfaces

Designed

for

Admin

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Some

Interfaces

Designed

for

Students

Some

Interfaces

Designed

for

Students

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Some

Interfaces

Designed

for

Teachers

or

Lecturers

Some

Interfaces

Designed

for

Teachers

or

Lecturers

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•APD Tool deals with Arabic scripts and allows students to submit

assignments to their teachers in one classroom.

•The teacher/lecturer, in turn, can retrieve the assignments in one

of his/her classes and view a report that highlights the plagiarized

parts in each submitted assignment.

Sample of

Classroom

Report

Sample of

Plagiarism

Detection

Report

for an

Assignment

•APD Tool displays suspected resources from the intra-corpus

collection (Reports DB in any E-Learning Management System).

•APD Tool also searches Google to find similar resources.

•Teachers can send feedback, warning msg, assessment to stuents

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Since e-learning industry has increased in SA and Arab

countries, there is a great demand for insuring the

intellectual property for the work written in Arabic.

We shed light on the issue of Plagiarism through

studying :

(i) the paradigm of document submission in e-learning

(ii) plagiarism detection paradigm, and

(iii) our proposed paradigm that integrates both.

The great deal of our APD tool is not only detecting and

deterring plagiarism but also in educating students

about the importance of the originality by using their

own work and citing the original references.

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To enhance and add more options in this tool.

To test thoroughly the APD tool by some schools and

universities to get their feedback.

To integrate this tool with current e-learning

systems in SA and other Arab countries.

Alzahrani, S. M. (2008). Plagiarism Auto-Detection in Arabic Scripts using

Statement-Based Fingerprints Matching and Fuzzy-Set Information Retrieval

Approaches. MCs Thesis, University of Technology Malaysia, Johor.

Alzahrani, S. M., & Salim, N. (2008). Plagiarism Detection In Arabic Scripts

Using Fuzzy Information Retrieval. Paper presented at the Proceedings of 2008

Student Conference on Research and Development (SCOReD 2008).

Alzahrani, S. M., & Salim, N. (2009). On the Use of Fuzzy Information Retrieval

for Gauging Similarity of Arabic Documents. Paper to be presented at the 32nd

Annual ACM SIGIR Conference., Boston, USA. (Under Review)

Alzahrani, S. M., & Salim, N. (2009). Statement-Based Fuzzy-Set IR versus

Fingerprints Matching for Plagiarism Detection in Arabic Documents. Paper to

be presented at the 32nd Annual ACM SIGIR Conference., Boston, USA. (Under

Review)

Alzahrani, S. M., & Salim, N. (2008). A modified algorithm for stemming and

stopwords removal for effective Arabic IR. (Unpublished)

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