Statistics Research Computers and Composition

Question: Discuss about theStatistics Research for Computers and Composition. Answer: Introduction The future perspective of automatic student plagiarism presents interesting trends. The increased liberty of the students in the use of computers in the teaching process has led to a proliferation of the plagiarism. The students are supposed to make numerous assignments in their academic life. They can get a wide online database of electronic texts which make their life easier. The plagiarism is often compared to cheating and it is considered as an offence in the field of academics (Hosny and Fatima, 2014). There is several software for the purpose of detecting plagiarism in the work of the students. However, the traditional plagiarism tools are unable to detect the complicated nature of the plagiarism (Hosny and Fatima, 2014). There are limitations in the simple plagiarism detection tools. This paper would explore the complexities of the plagiarism and how the traditional tools of plagiarism detection should be modified in order to detect the advanced issues of plagiarism. Literature Review This chapter would discuss about the burning issue of student plagiarism and its increasing prevalence in the academic world. It would also discuss the nature of plagiarism, its types, current state of plagiarism detection and the future requirements of the plagiarism software. This section would give way to the data collection as well as data analysis segments of the research on this topic. Issues of Student Plagiarism One of the most common problems in the academic world is plagiarism. The Universities have a tough time in the detection of the plagiarism issues in the academic work of the students (Andreescu, 2013). It is concerned with the undocumented as well as unauthorized use of someone elses work (Andreescu, 2013). The students often lack sufficient time to complete their assignments on time. This is because they are over loaded with class, extracurricular activities and group activities. They are already pre-occupied with the intricacies of the academic course (Andreescu, 2013). They find it too stressful to write their assignments on their own. They tend to search for alternative methods to do their assignments with least effort and within minimal amount of time (Shivaji and Prabhudeva, 2015). The students are often tempted to copy-paste the valuable work of others and give it their own name (Shivaji and Prabhudeva, 2015). They are inclined to get good grades in the University so that they can get decent jobs after graduation. A quality assignment is a prerequisite for getting good grades in academics (Shivaji and Prabhudeva, 2015). This makes them claim the works of the other authors. The students are usually unwilling to accept the work of the others and do not provide sufficient citations. They are not willing to acknowledge the work of the others fearing that it is detrimental for their own career. They are afraid of the fact that if they give proper citations, then his own credibility may be questioned by the lecturer or others (Shivaji and Prabhudeva, 2015). He simply copies the text of the authors and ignores the necessity of providing appropriate citations (Tripathi, Tiwari and Nithyanandam, 2015). This is because of two reasons. He may feel lethargic to perform unnecessary formalities or he may simply forget to provide them (Shivaji and Prabhudeva, 2015). The student may quote long passages without providing adequate references (Tripathi, Tiwari and Nithyanandam, 2015). There are a lot of free materials available online for the students which makes them tempted to copy paste the work. There are also sufficient online essay providing services that are direc tly related to the issue of plagiarism (Tripathi, Tiwari and Nithyanandam, 2015). This makes it one of the burning issues of modern day teaching methodologies. Need of Plagiarism Detection in Academics It is extremely important to detect any plagiarism issues in the academic work of the students. Some of the most important reasons for the detection of any plagiarism issues are described below- It is an academic requirement that the students would produce original papers with minimal percentage of plagiarism (Bretag, 2013). They want the students to generate original ideas and use their creative approach to complete the assignment (Graham-Matheson and Starr, 2013). The plagiarism detection software highlights the exact similarity of the content, along with the sentences and the words (Bretag, 2013). The students are required to change these portions only so that it improves the quality of the paper. The detection tools usually give a percentage of the similarity index between the students paper and the original work of the authors (Graham-Matheson and Starr, 2013). The universities usually have pre-set permissible limit of plagiarism percentage which they need to check every time the student submits a particular assignment (Bretag, 2013). This job is being performed by the detection software. The University levy heavy penalties if they found the students engaging in plagiarism. This may also lead to rustication of the students or strict disciplinary actions against them (Graham-Matheson and Starr, 2013). This requires the students to check the percentage of similarity in their academic works. Consequences of Plagiarism The plagiarism has serious impact on the academic life of the students. This is a growing menace that is posing a serious threat to the students. If a student is found to be engaged in plagiarism, it will not only affect their future professional life, but he would face suspicion and ignorance. Some of the consequences of plagiarism are as follows- Damaged professional reputation- The plagiarism would mean a permanent damage to the professional life of a student (Yadav, Rawal and Baxi, 2016). They would not get sufficient career opportunities as the employers would not hire a person who engages in unfair means (Yadav, Rawal and Baxi, 2016). Hampering of students impression- The students can be expelled or suspended if the allegations of plagiarism are proved against them (Yadav, Rawal and Baxi, 2016). There are often clauses in the suspension letter which makes it difficult for the students to take admissions in other colleges (Yadav, Rawal and Baxi, 2016). Community Impact- The phenomenon of plagiarism has serious implications on the community as well (Sheehan, 2014). The students often develop less genuine inter personal relationships with their social groups. Legal hassles- The legal issues concerning plagiarism are very serious and often difficult to deal with. The copyright laws are an important consideration in handling the plagiarism issues (Sheehan, 2014). It can be equated with criminal offense with serious implications. Lowering of academic reputation- The students would face a bad reputation in the academic world if the plagiarism charges are confirmed (Sheehan, 2014). This means that the student would not only face serious actions from the University but he would also not be accepted among his peers (Sheehan, 2014). Monetary hazards- In some cases, the students face monetary penalty from the University if he is found to engage in unfair means while submitting the assignments (Sheehan, 2014). Types of Plagiarism There are different types of plagiarism that are seen in the academic papers of the students. The following are the broad categories of plagiarism- Direct- This is the most common form of plagiarism that concerns with the word-to word similarity with the original work of the author (DeGeeter et al., 2014). This is done without giving proper acknowledgment to the original author. A student can not deliberately use the write up of another person and is considered as unethical. Accidental- This type of plagiarism takes place when the student either neglects or forgets to cite the original authors for using their work (DeGeeter et al., 2014). This often takes place when the student unknowingly paraphrases the sentences or words without proper attribution. Mosaic- This type of plagiarism takes place when the student uses the phrases from the work of another author and forgets to use quotation marks for them (Anglil-Carter, 2014). It can also take place when the student engages in applying synonyms for the language of the authors (DeGeeter et al., 2014). The other factors are kept constant by the student such as sentence structure or the meaning of the sentence (DeGeeter et al., 2014). This type of plagiarism is treated as dishonest in academic terms even if it is done unintentionally. Self- This type of plagiarism occurs in the event of the student submitting his own earlier works or merges certain parts with his previous assignments, without prior consent of the professors (Anglil-Carter, 2014). It is also concerned with the submission of the same content for different assignments without written permission from the professors. Tough- These types of plagiarism are difficult to detect for the software as well as human beings. It includes the use of similar ideas or concepts that are outside the purview of the common knowledge (Anglil-Carter, 2014). It also includes artistic plagiarism which deals with the representation of an idea of a particular writer in some other (Anglil-Carter, 2014). For example, if the text used by one author is represented in images by a student. Current Situation of Plagiarism Detection The early plagiarism detection software was equipped with the detection of simple copy-paste or straightforward use of the concepts of other authors. They were able to evaluate the rearrangement of the sentences and the paragraphs (Stapleton, 2012). However, the modern day students are well aware of the different criteria used by the plagiarism detection software and hence they twist the sentences so that they go undetected while checking in the plagiarism software (Stapleton, 2012). There are some students who engage in using the anti plagiarism software which are readily available over the internet (Stapleton, 2012). This makes it essential for the modern day plagiarism software to incorporate advanced features (Stapleton, 2012). The practice of plagiarism is not only done by the students, but there are instances when the academic staffs also engage in the same (Stapleton, 2012). They often publish papers that have huge similarity with the works produced by other authors. This happ ens since the original papers are already published in the internal journals and the professors strive to gain a quick reputation in the academic circle (Stapleton, 2012). There can be two kinds of plagiarism detection software namely automatic detection and manual detection (Oberreuter and VelSquez, 2013). The manual detection of plagiarism deals with checking of the plagiarism issue by the human beings. This is an old method of checking the plagiarism that consumes a significant amount of time and energy of the teaching faculty (Cosma and Joy, 2012). The automatic detection of plagiarism is a modern day tool of checking the plagiarism issue. The automatic plagiarism detection tools check the textual plagiarism and source code plagiarism (Cosma and Joy, 2012). The textual plagiarism utilizes the grammar based methods, semantic-based methods and grammar semantics hybrid methods (Cosma and Joy, 2012). Some of the most common plagiarism tools used are Turnitin, PlagScan, PlagAware, iThenticate and others (Cosma and Joy, 2012). Loopholes in the Current Plagiarism Detection Software The modern day plagiarism software is often unable to detect the advanced issues of plagiarism. There are technological loopholes in the plagiarism detection software that are unable to detect the latest copy paste issues in students papers (Falchikov, 2013). The students engage in modifying their own work in order to avoid the issues of plagiarism (Falchikov, 2013). The plagiarism detection software works by extracting the text portions from the assignment and then matching them with any published document. The students engage in mechanisms that prevents the software from extracting texts from the document (Baepler and Reynolds, 2014). This does not affect the view of the document or the layout/format of the documents (Falchikov, 2013). This makes the software unable to detect any plagiarism related issues and it shows 0% plagiarism. The students are also engaging in converting their assignments in a PDF format and subsequently altering the character map of the text (Lambert, 2014). They can also rearrange the character codes in the PDF version of their assignments so that the connecting link between the printed representation and text is lost (Kossey, Berger and Brown, 2015). This makes it impossible for the plagiarism detection software to detect any similarity. Need of Advanced Plagiarism Detection Tool In this age of technological advancements, it is important to create efficient plagiarism detection tools that would be difficult to deceive (Howard et al., 2013). This is required for the purpose of elevating the quality of academic assignments and also reduces the instances of the plagiarism (Ganascia, Glaudes and Del Lungo, 2014). The advanced plagiarism tools should perform morphological analysis of the assignment of the students. The software should also engage in the removal of suffixes (Howard et al., 2013). It is also used to isolate the word from a given word. The new age software also engages in the conversion of sentences into parse trees and the use of transposition of the given words (Wagner, 2012). The software can also use the electronic thesaurus. It is also important to track the citation and the reference list of the students (Howard et al., 2013). The advanced plagiarism software would be able to detect the latest tricks of the students and would successfully detec t the plagiarism issues (Howard et al., 2013). This would make the issue of plagiarism less severe and detect any possible plagiarism issues in an effective manner. Recommendations The plagiarism software should be able to detect the latest glitches present in the assignment of the students. The software should not only detect the grammar issues or the sentence construction issues of the assignments, but it should also detect the issue of stealing someone elses idea. It is important to check the work of ghost writers who often unethically uses the concept of another author in their own works. The modern software should also be able to detect the cross language issues which are often found in the papers. The future plagiarism detectors must check the all round quality of the assignments ranging from copy paste to the reproduction of someone elses innovative ideas. Conclusion The issue of student plagiarism is a serious concern in the academic world. It is important to install good plagiarism detection software used for academic purposes. There are severe consequences of the plagiarism issue such as damaged professional reputation, legal and lowering of the academic reputation. There are different types of plagiarism such as accidental, direct, mosaic, tough and self. The current scenario of the plagiarism detection system is also discussed with reference to the automatic detection methods. There are several loopholes in the present scenario of the detection of the plagiarism by the help of several tools. The need for the advanced plagiarism detection tools for plagiarism is also discussed. The concluding part of the paper deals with the recommendations for the creation of an efficient tool for the detection of plagiarism. Some concepts have been given that lead to the efficient utilization of the plagiarism software. This paper would surely enhance the u nderstanding of the plagiarism detection software and how to customize them for fulfilling the needs of the modern day assignments. References Andreescu, L., 2013. Self-plagiarism in academic publishing: the anatomy of a misnomer.Science and Engineering Ethics,19(3), pp.775-797. Anglil-Carter, S., 2014.Stolen language?: Plagiarism in writing. Routledge. Baepler, P. and Reynolds, T., 2014. 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