Full Project – Academic research plagiarism detection system

Full Project – Academic research plagiarism detection system

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CHAPTER ONE

INTRODUCTION

1.1 BACKGROUND OF THE STUDY

While academic dishonesty is not a new phenomenon, there is no agreement about why plagiarism is so prevalent in the academic world. It is broadly acknowledged that online plagiarism is really high because of the easy availability of information.

Plagiarism is a world-wide problem and actions taken to prevent it have been intensifying since about 2001 when teachers and university managers began to realise the impact of digitalised text, of the Internet, global communications and increasingly efficient search engines (Carroll & Zetterling, 2009).

A mass survey conducted by Rutgers University reports that 38% of students involved in online plagiarism. These alarming figures show a gradual increase of the phenomenon (Heyward, 2000).

Most of graduating students nowadays go to library and choose four or five research project topics done some years back and submit to their supervisors for approval. When any of these topics is approved, they just go and copy everything verbatim, except preliminary pages claiming to be the pioneers of those research projects. This has devastating effect on our educational set up. To solve this situation from getting out of hand, a modern technological step needs to be taken. Even though, it cannot stop plagiarism in totality, still it reduces it into manageable level.

Maurer, Kappe, Zaka(2006) considered Plagiarism  to be a most serious scholastic misconduct; academia everywhere is undertaking efforts to educate the students and teachers, by offering guides and tutorials to explain types of plagiarism and how to avoid it.

Today academic research supervisors and reviewers of all scholarly journals look for the following for students’ chapter’s approval and selection of a paper for its inclusion in a journal:

  • Originality – what’s new about subject?
  • Relevance to the topic?
  • Research methodology – are conclusions valid and objective?
  • Clarity, structure and quality of writing – does it communicate well?
  • Sound, logical progression of argument
  • Currency of references
  • Compliance to the editorial scope and objectives of the journal (Navin, Soni, Makhdumi, 2009).

1.2 STATEMENT OF THE PROBLEM

Plagiarism causes academic institutions to lose their integrity, honesty and values that are due for community which leads to going contrary to academic standard.

Plagiarism is a major problem at nearly every educational level from elementary schools to colleges. The following surveys serve as indicators to stated problem:-

A survey conducted as part of Center of Academic Integrity’s[CAI] Assessment project reveals that 40% of students admitted to engaging in plagiarism as compared to 10% reported in 1999 (McCabe, 2006).

Recent survey conducted by Center for Intellectual Property[CIP] indicates that Internet plagiarism—where students cut and paste text taken from the Internet without attribution—has increased to 41 percent among college/university students. Students’ unpermitted collaboration at some medium and large institutions increased from 11 percent in a 1963 survey to 49 percent in 1993. In a 1999 survey, over 75 percent of the college students surveyed admitted to some type of cheating. Although some are quick to blame the culture of the Internet as the root of the problem, some scholars note that the shift towards increasing plagiarism has taken place since the 19th century(Center for Intellectual Property, 2003).

Angelil-Carter (2000) claims that there is a lack of clarity across academic institutions about what constitutes plagiarism and a discrepancy in the way plagiarism is detected and enforced.

Computer science department, UNN is with opinion that students steal materials from the internet or elsewhere, pay persons to do their work and most of the academic staff award them A’s or B’s to enable them obtain 21 or 3.5 CGPA to qualify for masters or PhD admission(Postgraduate Students’ Seminar Template, 2007, p. 4).

1.3. OBJECTIVES OF THE STUDY                                                                                                                         The objectives of is to develop a system that should be able to:-

  1. Detect a plagiarized text on internet when searched
  2. Detect a Plagiarized text on a computer when searched on a records saved using the system developed.
  3. Fast track a duplicate of students’ proposed research topic.

 

1.4. SIGNIFICANCE OF THE STUDY

Development of any country is mostly originated from academic research institutions or centers; these are places where most innovations, inventions are originated. Plagiarism discourages this development. So to achieve such development, our researchers and students have to be encouraged to shun this vice(plagiarism). This laxity, laziness has to be discouraged so to attain a development.

The significance of this research is to discourage unethical academic behavior and self cheating: plagiarism and uplift the academic integrity of our academic institutions and to shun what can drive us back from developing of our country.

 

1.5. SCOPE AND LIMITATION OF THE STUDY

SCOPE

The scope of the study as title suggest is centered on detecting plagiarized information on academic research report either through internet or on computer’s drives/ folder.

LIMITATION

In the process of carrying out research work a lot of problems posed serious challenges to the researcher and tended to limit the researcher from attaining stated goal fully. Fund is one of the factors that hindered the researcher from buying the anti-plagiarism systems, due to how costly they are.

Time constraint was a major limiting factor as lectures were still on at the time most researches was concluded.

 

 

1.6 DEFINATION OF TERMS

Suspicious information/Text: Information that researcher claims ownership and Supervisor doubts it.

Drives: Computer HardDisk, CD Plate use, External HardDisk, Flash Disk, etc

Folder: Computer Directory that stores files

Program: Software Developed

Supervisor: Project Academic advisor.

Programming Language: Set of specific codes used to write computer program.

Program: Set of instructions or commands written in a specific programming language to guide computer in executing a particular task.

Implementation: The process of putting a newly developed computer program into the actual task which it is designed for.

Testing:    Evaluation of designed/produced software

Research Topic Duplicate:   Another similar project research topic found.

Originality: First initiated/compiled information by researcher.

 

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Full Project – Academic research plagiarism detection system