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Codequiry's Source Code Plagiarism Checker can help you ensure the integrity of your code. Our cutting-edge tool, designed for educators, developers, and organizations, uses advanced algorithms to detect and prevent plagiarism effectively. Codequiry's intuitive features and thorough scanning capabilities ensure the authenticity of your codebase, preserving integrity and protecting intellectual property. Trust us to help you maintain your work's credibility in the digital landscape.
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⠀ ⠀𝐃𝐀𝐘𝐃𝐑𝐄𝐀𝐌 : 𝗘𝗡𝗛𝗔-𝗙𝗶𝗟𝗘𝗦 𝗦𝗨𝗥𝗩𝗜𝗩𝗔𝗟 𝗦𝗛𝗢𝗪


✶ 𝑡𝘩𝑒 𝑠𝘩𝑜𝑤'𝑠 𝑜𝑝𝑒𝑛 . enha-files presents our very first survival show. blogs on enhablr can showcase their writing talent through our program. ⠀ ⠀⠀ ⠀⠀ ⠀⠀ ⠀ᐢ..ᐢ writers from all over enhablr can express themselves in our show! do you have what it takes? join us now!
⠀⠀ ⠀⠀ ✿ ㅤ˳ auditions are open ! send in your submissions after reading the rules !
❨ 𝐚𝐮𝐝𝐢𝐭𝐢𝐨𝐧𝐬 ❩ send in your submissions in this google form! post a drabble of any member with any type of genre you like! the work you post has to have at least 200 words — make sure you use the tag " 𝐃𝐀𝐘𝐃𝐑𝐄𝐀𝐌 : 𝗘𝗡𝗛𝗔-𝗙𝗶𝗟𝗘𝗦 𝗦𝗨𝗥𝗩𝗜𝗩𝗔𝗟 𝗦𝗛𝗢𝗪 " so we know it’s a work for our survival show ⪩⪨﹒
please, read the rules first before uploading a fic and sending a submission through our google form! we want this show to be enjoyable for everyone
• 𝟢𝟏 ❜ do not write works that contains nsfw themes or any other themes that fall under gore & vore, self-harm, hardcore suggestive themes which would pass off as a smut work.
• 𝟢𝟐 ❜ the deadline for auctions will be one week so the forms will be closed on 20/06/25 ! please make sure you submit your works before then.
• 𝟢𝟑 ❜ this is a survival show the enhablr community. please make sure that the works you are writing are only for the members of enhypen.
• 𝟢𝟒 ❜ do not plagiarise other works or use ai. we will be running them through ai checkers and plagiarism checkers. please stay original without the use of ai! we want our works to be authentic. the keyword is daydream.
ꕤ you will be disqualified if you are seen breaking any of these rules! please be mindful with what you post ᴖ ᴈ ᴖ

𝑡𝘩𝑒 𝑗𝑢𝑑𝑔𝑖𝑛𝑔 𝑐𝑟𝑖𝑡𝑒𝑟𝑖𝑎 ˃̵ᴗ˂̵ listed below are the categories we’ll be using to evaluate your fics. important note . 𖧷 our survival show is un biased. we will not be marking based on popularity!
• 𝟢𝟏 ❜ based on clarity and fluency in the writing ( 5 points )
• 𝟢𝟐 ❜ creativity and impact ( 5 points )
• 𝟢𝟑 ❜ is the tone of the story fitting and is it engaging the reader ( 5 points )
• 𝟢𝟒 ❜ a clear structure and flow ( 5 points )
༉‧₊˚ the total will be given out of 20! the most awarded marks will automatically be selected to be our contestants! remember : the deadline is 20/06/25, so send in your submissions before it's too late! if you have any questions, send us an ask. have fun writing and we'll see you at the show!
【 daydream 】 join our discord server to keep yourself updated on all the announcements, future rounds, and special things we’ve created for the enha-files survival show ! ᴖ ᴈ ᴖ
ᐢ..ᐢ we hope you do take part in our survival show ! thank you ♡
#𝐃𝐀𝐘𝐃𝐑𝐄𝐀𝐌 : 𝗘𝗡𝗛𝗔-𝗙𝗶𝗟𝗘𝗦 𝗦𝗨𝗥𝗩𝗜𝗩𝗔𝗟 𝗦𝗛𝗢𝗪#enhypen#enhypen imagines#enha x reader#enha#enhablr#enha imagines#enha scenarios#enha fluff#enhypen fluff#enhypen scenarios#enhypen angst#enha angst#enhypen smau#enha smau#jungwon x reader#heeseung x reader#jay x reader#jake x reader#sunghoon x reader#sunoo x reader#ni-ki x reader#niki x reader#enhypen x reader
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every automated cheating detection system seems to operate on a principle of flag everything, which de facto means that most instructors just ignore most cheating alerts but essentially always have the power to destroy a student's academic life by accusing them of cheating, w evidence. like even if no one ever accused you to your face, if your exams are getting filmed by those detection software programs & your essays are run thru automatic plagiarism / ai checkers on the reg literally just assume that your shit has been flagged, at least once and probably routinely. functional system
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Me when the plagiarism checker says my essay is 56% written by AI but I wouldn’t touch chatGPT or whatever the fuck with a ten foot pole I’m just severely autistic and naturally robotic and read a lot so I have very good vocabulary and this shit is due tonight so I have to turn it in because how the fuck do I fix my own (very good) writing from having AI when there IS NONE IN IT AT ALL and now I’m freaking the fuck out bc plagiarism is a big deal even tho I DIDN’T DO IT and now I’m more worried because what does this bode for my future where apparently I won’t be able to write fucking well actually because some bozo program thinks I’m a robot. Me when that.
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Useful ways to use AI:
Spotting bread shapes
Spotting cancer cells in a scan
Spotting computer coding bugs
Spotting actual typos, once it gets there.
(AI cannot yet identify erroneous keystroke typos, which to me is a problem. If 90% of my word matches another word but is missing the first letter, the "AI" should spot it and it doesn't, so is NOT an adequate spell checker.)
Check papers for plagiarism (different from AI detection)
Generating a pattern
Detecting a pattern
Parsing which bits of data are significant.
Graphing data
calculating with scads of data.
Operating a robot for a select number of moves.
Things AI is NOT good at and Should Not be used for:
Arts
Visual Arts
Writing
Composing computer programming
Composing music

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CS 214: Systems Programming Assignment 2: File Analysis
Introduction In this assignment you will make use of the filesystem API and the POSIX thread library to implement a simple plagiarism checker. Plagiarism is a self-defeating shortcut that plagues many student bodies. For those unacquainted with it, plagiarism is the act of claiming someone else’s work as your own. Paradoxically, many college and university students pay large sums to access…
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AI Humanizer Pro Review: Make Your AI Writing Sound Human Instantly
You've finished your assignment, perhaps relied a little on an AI program to meet your deadline. You submit feeling satisfied—until Turnitin or another AI detector marks you down. It's infuriating, especially if the ideas are your own. But the thing is: AI detectors don't only detect copy-paste. They flag patterns—expected structure, hyper-clean grammar, and sentences that sound too perfect. These cues don't shout plagiarism; they just don't ring human. And unfortunately, that's enough to trigger a red flag, even when your work is entirely original.
What AI Humanizer Pro Actually Has to Offer
This is where AI Humanizer Pro really shines. It's not one of those reworders that just swaps words or rephrases sentences. Instead, it gets deeper—rebuilding your sentences, tuning the tone, and polishing the natural flow of your writing. Whether it's a scholarly paper, a news article, or a business letter, AI Humanizer Pro aligns your writing with the way regular people speak and write. And better yet, it never gets its hands on your facts or changes your ideas. It only polishes how your ideas are expressed, so you can keep your voice while making it sound more natural and less robotic.
Can AI Tools Make Your Writing Sound More Natural?
Sounds odd, doesn't it? But yes, with the right tool, your writing can become more natural. While most rewriting software produces stiff or jerky writing, humanizing AI models understand nuance, tone, and intent. It's not just a case of word substitution—it's rewriting with passion and clarity. You're not trying to trick anyone; you're making your message resonate more. When your writing reads like a human, naturally it passes through AI checkers without alerting anyone. It becomes both reader-friendly and system-compliant.
Why Most Rewriters Shortchange—And This One Doesn't Most of the rewriting software you come across produces lazy work. They replace a handful of verbs and some synonyms, but the writing still lacks warmth or natural rhythm. That's where AI Humanizer Pro breaks from the pack. It changes the tone, understands the purpose of what you're writing, and allows you to fine-tune the structure according to your audience. Each rewritten piece is passed through top-of-the-line AI detection software to give you writing that's not only original, but also polished and submission-ready. It's an integrated strategy—not some word game.
Find Your Voice Without Losing It
That's not cheating; that's polishing. If your writing reads clunky, clumsy, or just not you, AI Humanizer Pro will polish it without stealing your voice. Upload your DOCX, TXT, or PDF file and let the software do the rest. What you get back is your writing, but smoother and more conversational. It's still yours, only improved. And it sails through AI filters with ease and remains true to your original intent.
Is It Alright to Utilize a Humanizing Tool?
Sure—provided you use it well. Imagine humanizing AI as your digital editor. It doesn't replace your job; it assists you. Your creativity remains intact and your presentation is rendered professionally polished.
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Unlike basic synonym replacements, AI Paraphraser understands context and maintains the tone and intent of the original text. It's a must-have for students, writers, and researchers who want to express ideas in fresh, unique ways.
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wanted to add some thoughts on this thread. i've seen a lot of responses from professors and educators who care quite a bit for their students and create space for them to be able to put effort toward understanding things--and this latter perspective synergizes with being against using AI for essays at school. i wanted to add some more thoughts onto this with the context of: getting to work in teaching and learning shops at universities, i've found a huge variance between the care and patience that professors have for their students with essay-style assignments.
higher ed seems to be becoming quite interested in checking for ai-based plagiarism in essays (might be happening in k12 spaces too, i'm just not familiar with it as much). turnitin, the company that does the whole plagiarism checking software for schools and colleges, now has an ai detection tool that clients can purchase (that also, in our testing, pulls up far more false positives and false negatives than what they advertise to clients). the company always publicly claims that the turnitin similarity checker (this is the main "plagiarism detection" tool) is not exactly a watertight tool, it is a tool that can help with starting conversations about academic integrity with students, and it needs to be paired with instructor expertise on the topic. this ends up conflicting with a common-enough attitude among some faculty that turnitin is getting a perfect match on whether a student has plagiarized or not. combine this move in higher ed with:
depending on how a course is run, the fact of activities being graded in those courses can add a great deal of pressure on students that may not be conducive to learning. i think Jesse Stommel has some compelling stuff to say here through his concept of ungrading: he notes how grading systems have become increasingly comparative and numerical over time, he notes that grades in and of themselves aren't great incentives for learning or the best indicators of feedback in learning, grade-based education tends to favor (or at least be more amenable to) the banking model of education over critical pedagogy--and he backs this up with in-class experiments and experience. i've noticed that creative writing programs have often been at the forefront of finding alternatives to grading systems that are more supportive for their students (Asao Inoue talks about labor-based grading contracts as more equitable than grading systems that connect grades to an evaluation of quality, though I do think even this system could cut out the grading component altogether and still retain its interventional value).
these two points can lead to the following: students often have to do two tasks in an essay being graded: a) write an essay in and of itself, with its intent of critical thinking, effort, analysis; and b) get a good grade, because regardless of the actual material efficacy of grades in getting future work outside of the university (this will cash out differently sometimes based on the field you're working in as well), there will be students who feel a pressure to get good grades (for a variety of reasons). multiply one essay in a course with taking 4 or 5 more classes (common in undergrad) and working a job at the same time (common at my alma mater at the very least), and we're creating a recipe for students to feel absolutely unsupported in the academic environment to actually work on practicing analysis without additional outside pressure.
i think the current conditions across a lot of academia help create conditions for students to use cheating as a strategy to get a better grade: "i can either put all the extra work in to doing this right and possibly get a bad grade anyway, depending on how my professor is deciding to grade the quality of essays; or given that i have a shift to run to after this and family to take care of at home, i can see if there's a quicker solution to take, even if that could also have a risk of ruining my grade. what's worth it, to me?" and in response to this, academic integrity offices will start wondering how to discourage students from cheating, and in happy and hawkish response, academic integrity software companies can get new product contracts on their ai detection tools, that instructors, in their variance of usage of plagiarism tools, can use to either have conversations with students about work in the best case scenario, or punish students through grading them poorly in the worst.
i dunno. i am a philosopher at the end of the day--in my experience with the kind of writing philosophy demands, i don't think that AI writing passes muster in the first place (i imagine this is the case with... most any field that involves any amount of creative writing). but i just want to keep in mind that in my experience working at the university space, for every professor who is genuinely interested in their students' learning and who does everything within their capacity to set them up for success, there is a professor who, regardless of interest, generates a great deal of distress for their students by dispensing with punitive measures in the learning space.
i think that this is likely a reason why some teaching and learning shops have tended to build guidelines for how to use or discuss AI writing with students instead of recommending faculty to discourage its use by students altogether: even though i think a shop should ideally be able to recommend the latter, that doesn't do a lot for the reactionary portion of a faculty community who will consider the shop backwards for making such a recommendation, then continue on with teaching practices that are harmful to students' learning and well-being. (i think the defensive position also comes from not having any deciding power over the business contracts for AI software happening with leadership doing kingdom-building far away from the rest of us [unionize, anyone?], where if there's an evaluation that there's nothing the institution can do to prevent AI usage, then it makes sense to have a damage mitigation strategy to do the least harm to students as possible).
i would have been lucky to have any of the teachers on this thread as my own when i was going through undergrad. unfortunately, what i faced far more were instructors who didn't care very much--either from being tenure-track researchers who weren't particularly committed to teaching, or from (understandably) reacting against being overworked adjunct lecturers who didn't have the capacity to care as much as they should have. what i faced in undergrad quite a bit, barring some notable exceptions here and there, were instructors who didn't care anyway whether i could think critically about something or put effort into writing about a certain perspective. what i faced in undergrad, primarily so, were instructors who were just checking if i could say the correct thing back to them in the correct way--and instructors who would punish me or my peers for failing to do this, no matter how much work they put into an assignment.
if universities as an institution want students to not use AI for essays (something that i'm generally aligned with), they need to give adequate resources to faculty and students alike to be able to focus on essays without fear of academic punishment and without generated lack of capacity from overwork. (but of course, universities is an abstraction here--faculty/staff unions and student worker unions do push for those resources, because university leadership isn't otherwise interested in granting them, because it's not particularly profitable to care about the conditions of learning.)

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Generating Response To: The Improbable Banning of AI and What it Means for Education
Drawn by Cian Dimagiba of UPIS Media Center 2026
Artificial Intelligence, or more commonly known as AI, has caused quite a stir in the online world due to its controversial usage. Given its advanced technology, it has been both fascinating and horrifying. Its use in areas such as entertainment, cybersecurity, algorithms, and assistive technology for the disabled showcases its usefulness and practicality to help society. On the other hand, controversial issues such as fabricated videos, job displacement, privacy risks, and stolen art have caused AI to ultimately have a bad reputation across the globe.
All of these factors contribute to its bad reputation, but one stands out as the biggest reason why people dislike AI: its effects on the education of students worldwide. Specifically, there are concerns around academic dishonesty and how a specific type of AI called generative AI seems to propagate this unlawful act.
According to Tierney (2024), 70% of educators think the use of AI and plagiarism are interconnected with each other, and AI seems to worsen plagiarism. As a result, schools all over the world are debating whether to ban these instruments altogether. Should we prohibit the usage of AI or not, or is there perhaps another way to address the issues without jeopardizing our chance to use advanced technology to better our state of living?
But First, What Is AI?
Before that, we should first understand what AI is and its origins. In the year 1987, AI was said to be the result of trying to build something with intelligence, something that can think by itself. This intelligence was then split up into five more characteristics an intellectual being has.
Communication, as a component of intelligence, is usually associated with the ability to convey and understand complex ideas or topics;
Internal knowledge, which refers to the understanding of what we know, is an innate human trait, evidenced by our creation of epistemology as a study of knowledge;
World knowledge, which is knowing what is happening around you, is essentially the use of knowledge learned from the surrounding environment;
Intentionality, or knowing you want something, and then subsequently forming a plan to work towards achieving or gaining it;
Creativity, though varying in degree in intellectual beings, still possess some form of creativity;
All of these characteristics are from intellectual beings, but more importantly, they are also intrinsic features of humans. AI, in essence, is an attempt to mimic an intelligent being, or more specifically, a human.This has caused it to adapt to a self-improving type of nature wherein it makes itself better, just like how humans constantly try to improve themselves. Thus, AI is a program that is always learning and improving so that it may achieve intelligence in the future (Schank, 1987).
Consequently, a test called the Turing test is usually used to determine whether a machine can think like a human being. It is done by two human beings and a machine, wherein one of the humans acts as an interrogator. They would then ask questions to both the machine and the human being, and the interrogator would try to differentiate which response was human or machine. This test highlights the indistinctness of humans and AI, which has improved through the years. (George & Gillis, 2024).
AI in the Present
As a self-improving program, it has now improved tremendously from the first successful case of AI being used to play checkers in the year 1951 to the present day (Copeland, 2025). According to the European Parliament (2020) and Tableau.com (n.d.), some examples of how AI is used today include:
Algorithms that track the preferences of a certain individual to deliver personalized information, which are used in advertisements, web searches, digital assistants, social media, etc.;
Autocorrect which finds grammatical errors in texts and recommending ways on how to fix it;
Smart appliances such as smart houses, self-driving cars, or any automated appliances that are used for convenience;
Random generation which creates never-ending possibilities for world generation and non-player character (NPC) behavior, both of which are used in game generation such as Minecraft, The Last of Us, etc.; and
Digital security where AI can be used to deter the effects of cyber attacks, as well as fight the spread of misinformation and disinformation.
In the Philippine setting, the government has also been planning to use AI to develop the country. The Department of Trade and Industry (DTI) released the National AI Strategy Roadmap 2.0 (NAISR 2.0) and the Center for AI Research (CAIR), both of which are said to implement AI to improve the country’s economy. The NAISR 2.0 acts as a guide on how to use existing AI technology to solve the problems that is plaguing the country, while CAIR pertains to researching the technological innovations brought by AI that would help the Philippines tackle its ongoing issues (DTI, 2024).
AI is practically everywhere, from algorithms and assistants, to even autocorrect. Although, the word “AI” is essentially an umbrella term for programs imitating intelligence. Many types of AI are currently being used by people, and one of these is generative AI.
What Distinguishes Generative AI From Other Forms Of AI?
Generative AI is defined as a program that can create text, images, videos, or any other form of content. This specific type of AI is riddled with controversy surrounding its usage, mainly due to its inherent nature (Martineau, 2023).
An example is using a program such as ChatGPT to create AI images. For context, ChatGPT is one of the more popular forms of generative AI; it is a program where users would input what they would like the AI to generate, and the program would promptly deliver. This is especially problematic as AI uses the works of real people as the basis for its generated images. In other words, it is stealing these artworks that people have worked hard for, even though the artists were not aware of nor gave consent to their artworks being used in this way (Placido, 2023).
There is also the issue with the creation of harmful content for the sake of disinformation. Generative AI can be used to produce articles, pictures, and videos which have incorrect information. The generated media can be used to intentionally spread disinformation to the masses through the use of the internet. This could cause widespread ignorance within the topic affected and lead to grim aftermaths if things escalate (Endert, 2024).
Although there are a lot of problems regarding the usage of AI, there are still many ways AI can be used to improve the efficiency and the efficacy of a service.
The Positive Side Of Generative AI in Education
Due to the nature of AI, it can be used to aid the education of students. A review about the effects of AI in education from the years 2010 and 2020 listed its helpful uses.
It was stated that a key part of learning is through feedback, or in other words, the students asking questions. AI can be used as a personal assistant, answering the various inquiries students may have. In this way, they can have an easier time understanding subjects without having to wait for another person’s response, as AI is available 24/7. Another way is through the use of visualization. AI can efficiently create diagrams, tables, and other organizers to help students understand relationships between topics. An example given in the review was the usage of AI to help students visualize the premise and the conclusion of an argument. Lastly, AI can adjust to the needs of students in ways that the traditional way of learning through a classroom can not. This term was coined as adaptive learning wherein the AI can gather data from a student to personalize its teaching style (Zhai, et al., 2021).
AI could also be used to summarize difficult texts or concepts into more digestible versions. This could help a student who has a problem grasping a concept due to different factors like the length of text, language used, and more. AI would simplify these such that students would be able to easily understand and comprehend the content within them (Day & Chen, 2018).
Another article about AI and its effect on education has listed that an additional benefit of AI is allowing students to access a large amount of information with limited restrictions. This has helped students learn more as they are not as hindered by the materials they are provided with, now expanded due to the usage of AI (Basha, 2024).
Furthermore, AI is also used to help teachers and educators in their work. A study discussed two ways that AI has helped teachers: one was the rule-based expert system, and the other was the intelligent tutoring system.
Rule-based expert systems pertain to a system that thinks and makes decisions based on a set of rules, to such an extent that it can mimic a human being. This can be used in many ways, such as in creating appropriate work for the students and grading said work. The Intelligent Tutoring Systems (ITS) are described as a way to imitate the interactions of a student and their educators, where the AI acts as a teacher for a specific student. This is similar to what was discussed earlier, where AI is used to accommodate a student’s needs. This also helps teachers in managing their large classrooms filled with students who have different needs and capabilities (Murphy, 2019).
All of these things brought by AI have helped students and teachers in their work. But while that may be a good thing at first glance, there could be a problem hiding beneath these positives that we need to take a look at.
The Negative Side Of Generative AI in Education
Overall, AI has created a quick and convenient way for people to do their share of work, to the point that it is too easy. A new problem arises from the over-reliance of students on AI—it hinders their very own education (Basha, 2024).
If we recall earlier, it was discussed that AI is essentially an imitation of an intellectual mind, or in this case, a human mind. It has the capability to do what a human mind can, albeit with some mistakes. This has caused students to turn to generative AI as a way to do their work without putting in effort themselves—the AI does the thinking for them. This poses a big problem as actually doing the work is an essential part of learning, and using AI in such an unethical way will reduce a student’s critical thinking, problem-solving skills, decision-making skills, knowledge on the subject, and everything else academically related. All of these skills are needed for a student to properly learn the lessons they will need in the future.
AI could also negatively affect future workers as dependence on it reduces mental engagement, cognitive skills, memory capacity, attention, focus, and application of knowledge (Dergaa, et al., 2024). This can cause a snowball effect wherein unqualified employees would be appointed to jobs they could not do properly. In turn, this can spell disaster with certain jobs like engineering and medicine that are important to the lives of many, possibly affecting a lot of people if one case of negligence happens.
Moreover, AI is contributing to the worsening education crisis. According to Rappler, the Philippines has joined PISA, or the Programme for International Student Assessment, a total of two times—once in 2018 and once in 2022. Here, it was found that out of 79 countries Philippine students ranked last in reading and second to last in both math and science in 2018. For the second time we participated in the year 2022, we got sixth from the bottom in math, fifth from the bottom in reading, and third from the bottom in science. Although our ranking did improve, it remains concerning when compared to other countries near us, like Singapore, which placed first in all subjects.
We already have a horrible educational system in the Philippines with our scores being this low, and the unethical usage of AI shall exacerbate the issue even more. It would be detrimental for the present and future of not only students, but also the whole country (Punongbayan, 2023).
In other words, AI has made it so that the traditional way of learning, the one ordinarily used by teachers and students, is no longer used properly. As a result, students rely on AI instead of actually learning the lessons provided to them (Li, 2024).
Lastly, another concern with AI is its implications on the privacy of users and students. AI uses large amounts of data to accurately create responses to a question, the data used in this are usually sourced from individuals. The problem rises when sensitive information is possibly at risk of exposure through the AI (Baig & Malik, 2024). An example of this is a breach of private student documents which were used in an AI monitoring system for student mental health. The important information was then exposed affecting thousands of students (Sharma, 2025).
Where Does AI Currently Stand In The Philippine Education System?
It is no wonder that AI has gotten this infamous reputation, with it potentially harming the education system as a whole. Schools have now stumbled across a dilemma: should they ban, wait, or adopt AI into the education system (Regina & West, 2023)?
One way schools are trying to control the issue is by the use of AI trackers, which analyze texts based on characteristics from data on machine-generated and human works. Unfortunately, AI trackers are inaccurate, often flagging human-created works as AI-generated (Leechuy, 2024).
The other way is releasing official guidelines on the use of AI. Currently, some universities, the University of the Philippines (UP) included, have released their stance on the usage of AI in education. The guidelines state that AI should be used with consideration for people’s needs, preferences, and overall betterment. It was also said that humans should have authority over the AI; it should be transparent, fair, safe, and environmentally friendly. Lastly, AI must be used to improve the overall quality of the education, systems, and programs in UP by ensuring AI literacy for users, as well as collaborating with other universities for innovations on AI technology (University of the Philippines, 2023).
Adding to that, the University of the Philippines Open University (UPOU) has also released guidelines on the use of AI. It stated that students should: properly cite AI content, avoid plagiarism, disclose whether AI will be used for data gathering, and generally not use AI for illegal purposes (University of the Philippines Open University, 2024).
Accountability for the People and the Overlooked Issue
All of these guidelines about AI are helpful in counteracting the negative effects of AI on the education system. However, they still miss a crucial part of the puzzle: humans are accountable for the problem.
Humanity created this tool, so humanity has always been in control. We keep blaming AI for all the problems it has caused, even though we also play a part in it. Understanding that there is a problem is the first step to solving it, and knowing we are also at fault is one step closer to solving the crisis.
A Way Out
Artificial Intelligence, as it stands, is quite problematic, with it having drastic negative effects due to the way it is used. However, this does not mean that we should just give up on this piece of technology that has the capacity for advancements in the future.
One way to address the issue of AI in our education system is through government action.By improving education quality within the Philippines, studying becomes more enjoyable for the students. In this way, students would be more motivated to learn the lessons instead of using AI to cheat, thus helping with the problem.
Parents also have a responsibility in this matter. They should occasionally check up on their children’s education and ensure they are properly learning their lessons. It is also their responsibility to teach their children good ethics, such as honesty and integrity, which would greatly help in preventing the children from misusing AI.
Even with all of these precautions, there is still a possibility of misuse. In that case, why not just embrace it? Educators could teach their students ways on how to use AI effectively and ethically instead of banning it altogether. They could perhaps teach that creating visual organizers or asking personalized questions using AI may be beneficial in their education. In this way, not only would the students ethically use AI, but they would also learn how to effectively utilize AI to help in their studies.
We should also remember that AI is and has always been a tool in our hands; this means we have absolute control over it. For example, programmers should implement restrictions that would inhibit the unlawful use of AI. This can be done by detecting if users are using generative AI for academic purposes and then restricting access appropriately. This would hopefully help in managing the many cases of cheating brought by AI.
Aside from the creators, the users also have a responsibility. Just like any other tool, it is not the tool that is dangerous, but the people using said instruments irresponsibly. Considering this, a better solution to our current problem is to teach people ethics and the consequences of irresponsible utilization. As such, schools should teach and embed proper ethics to their own students to help with the underlying causes of the misuse of AI. This can be done through seminars, classes, or any other programs that can instill these values in the students.
Lastly, as people—with an innate kindness in ourselves , we should learn not to abuse the tools that are given to us; this way, we can continue using these tools for a better future. This is true for any other device that will be introduced to us, whether it be a weapon like a gun or a digital program like AI.
This especially applies to us students since we should learn not to use AI unethically in any way possible. We should use AI as per the school’s regulations, rules are rules for a reason and we should follow them. This applies to any cases of cheating and plagiarism, whether AI was used or not, as it will eventually come back to bite us in the end. We are given an opportunity to learn that not everyone gets; as such, we should not waste and jeopardize our chance by relying on AI.
To conclude, should AI be banned? Not necessarily. We may think that AI is a wild program that needs to be stopped or tamed, but this belief is inaccurate. AI has always been in our control this whole time, we only need to decide on how we want to use it. Humanity should learn how to take responsibility for its actions, as responsibility precedes taking action for the better good.
Overall, AI is in a strange position. There needs to be a lot of change, not only in the programming of AI, but also in our very own values, for us to effectively use it. A tool this advanced should not be used to negatively affect people’s lives. In the case of education, AI should be used to develop the system, and not to replace it entirely. As individuals, we must do our very best to contribute in making this a possibility, for the betterment of many.
May we find it in our hearts to do the right thing.
//by Ian Rafin
References:
Baig, A. & Malik, O. M. (2024). Navigating Generative AI Privacy | Challenges & Safeguarding tips. Securiti. https://securiti.ai/generative-ai-privacy/\
Basha, Y. J. (2024). The negative effects of AI tools on students in academic and real-life performance. International Journal of Social Sciences and Commerce [IJSSC], 1(3), 1-16. https://nsfjournals.com/article-files/pdf/WyWmemNe8hyG6vgiQoPO-1723214664.pdf
Copeland, B. J. (2025). History of artificial intelligence | Dates, Advances, Alan Turing, ELIZA, & Facts. Encyclopedia Britannica. https://www.britannica.com/science/history-of-artificial-intelligence#ref379826
Day, M., & Chen, C. (2018). Artificial intelligence for automatic text summarization. IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/8424747/authors#authors
Dergaa, I., Saad, H. B., Glenn, J. M., Amamou, B., Aissa, M. B., Guelmami, N., Fekih-Romdhane, F., & Chamari, K. (2024). From tools to threats: a reflection on the impact of artificial-intelligence chatbots on cognitive health. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1259845
DTI. (2024). DTI drives AI innovation with National Roadmap 2.0 and CAIR launch. Department of Trade and Industry. https://www.dti.gov.ph/archives/news-archives/dti-drives-ai-innovation-national-roadmap-2-0-cair-launch/
European Parliament. (2020). What is artificial intelligence and how is it used?. https://www.europarl.europa.eu/topics/en/article/20200827STO85804/what-is-artificial-intelligence-and-how-is-it-used
Everyday examples and applications of artificial intelligence (AI). (n.d.). Tableau. https://www.tableau.com/data-insights/ai/examples
Endert, J. (2024). Generative AI is the ultimate disinformation amplifier. Akademie, https://akademie.dw.com/en/generative-ai-is-the-ultimate-disinformation-amplifier/a-68593890
George, B, St., & Gillis, A. S. (2024). What is the Turing Test? Search Enterprise AI. https://www.techtarget.com/searchenterpriseai/definition/Turing-test#:~:text=The%20Turing%20Test%20is%20a,cryptanalyst%2C%20mathematician%20and%20theoretical%20biologist.
Leechuy, J. (2024). How Reliable Are AI Detectors? Claims vs. Reality. The Blogsmith. https://www.theblogsmith.com/blog/how-reliable-are-ai-detectors/
Li, J. (2024). Study on the positive and negative impacts of ChatGPT on the education system. Communications in Humanities Research, 51(1), 59-64. https://doi.org/10.54254/2753-7064/51/20242449
Martineau, K. (2023). What is generative AI? IBM Research. https://research.ibm.com/blog/what-is-generative-AI
Murphy, R. F. (2019). Artificial intelligence applications to support K-12 teachers and teaching: a review of promising applications, opportunities, and challenges. RAND Corporation. https://www.jstor.org/stable/pdf/resrep19907
Placido, D. D. (2023). The problem with AI-generated art, explained. Forbes.com. https://www.forbes.com/sites/danidiplacido/2023/12/30/ai-generated-art-was-a-mistake-and-heres-why/
Punongbayan, J. (2023). [In this economy] PISA 2022: nowhere to go but up? Rappler.com. https://www.rappler.com/voices/thought-leaders/in-this-economy-philippines-ranking-pisa-2022-nowhere-go-but-up/
Regina, T., & West, D. M. (2023). Should schools ban or integrate generative AI in the classroom? Brookings. https://www.brookings.edu/articles/should-schools-ban-or-integrate-generative-ai-in-the-classroom/
Schank, R. C. (1987). What is AI, anyway? AI Magazine, 8(4), 59-65. https://doi.org/10.1609/aimag.v8i4.623
Sharma, S. (2025). AI surveillance in US schools: Thousands of sensitive student documents exposed in surveillance breach, fueling privacy fears. The Times of India. https://timesofindia.indiatimes.com/education/news/ai-surveillance-in-us-schools-thousands-of-sensitive-student-documents-exposed-in-surveillance-breach-fueling-privacy-fears/articleshow/118936575.cms
Tierney, L. (2024). Perspective | statistics snapshot: the intersection of AI use in education and plagiarism. EdNC. https://www.ednc.org/perspective-statistics-snapshot-the-intersection-of-ai-use-in-education-and-plagiarism/
University of the Philippines. (2023). University of the Philippines principles for responsible and trustworthy artificial intelligence. University of the Philippines. https://up.edu.ph/up-principles-for-responsible-artificial-intelligence/
University of the Philippines Open University. (2024). Guidelines on the use of AI in teaching and learning. https://www.upou.edu.ph/wp-content/uploads/2024/01/Guidelines-on-Use-of-AI-in-Teaching-and-Learning.pdf
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J., Yuan, J., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. https://onlinelibrary.wiley.com/doi/full/10.1155/2021/8812542
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Future Trends in Java Code Plagiarism Detection

Detecting plagiarism in Java code requires cutting-edge technology. Codequiry’s Code Plagiarism Checker Java stands out by offering AI-driven insights, live checks, and detailed reports. Emerging trends in plagiarism detection emphasize real-time feedback and secure traceability, positioning Codequiry as the preferred tool for educators and developers committed to preserving originality in the fast-evolving Java programming landscape.
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SITXMGT002 Establish and Conduct Business Relationships — Expert Cookery Assignment Help in Australia
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Top Code Assessment Tools Online to Evaluate Developer Skills
For any company seeking to bring in new talent, evaluating the skills of an applicant is very important. In the highly competitive world of technology today, wasting resources on candidates who are not qualified is not a viable option. Code assessment tools online have proved to make such assessments simple and guaranteed. These check rational and critical thinking, programming skills, and even problem-solving.
Code Assessment Tools Online
Identifying the right website is, however, not as easy as it seems. In the midst of so many websites, knowing their capabilities, features, pros and cons, and other such information will help narrow the selection.
Why Code Assessment Tools Online Are Essential?
Finding the right developer is a long and tedious task that starts well before interviewing candidates. Online code assessment tools demonstrate whether a candidate can produce quality code within a given timeframe. Here are the main reasons these tools are important:
Objective Skill Evaluation: Anyone would have received score-based evaluations, as these tools offer objective assessments with guaranteed unbiased results.
Faster Hiring Process: Since these assessments are automated, the speed at which an organisation can recruit new employees increases significantly.
Reduced Hiring Bias: More inclusivity is encouraged when the personal biases of whoever is conducting the selection are eliminated by timed evaluations.
What Best to Consider While Searching for Online Code Assessment Tools?
It is crucial to understand the functionalities that can enhance the efficiency of the assessment process and look for platforms that offer code assessment tools online:
Support for Many Programming Languages: Make sure that the tool can be utilised for multiple languages like Python, Java, C++, and JavaScript.
Adjustable Assessment Criteria: Adapting the tests to align with the particular job responsibilities ensures proper evaluation of the candidates.
Instant Reporting and Analytics: Real-time reports offer great detail, enabling the recruiter to understand the strengths and weaknesses of the candidate.
Plagiarism Checking Capabilities: Sophisticated tools come with plagiarism checkers so that the originality of the submitted code can be verified.
How Online Code Assessment Tools Help in Improvement of Hiring Efficiency?
Online code assessment tools simplify hiring processes by providing measurable data and reducing manual effort. They also enhance efficiency in the following areas:
Automated Candidate Screening: Automation on evaluations saves employers a lot of time in determining unfit candidates.
Facilitation of Large Recruitment Exercises: These tools enable organisations that conduct mass recruitment to test multiple candidates at the same time.
Uniform Take-On Evaluation: The use of the standard templates allows for each candidate to be measured using uniform standards.
How to Choose the Right Code Assessment Platform?
To choose appropriate online code assessment tools, you must clearly understand your organisation’s needs and evaluate how the platform’s capabilities can meet them. Follow these steps to make an informed decision:
Examine Your Hiring Objectives: Identify the skills and experience, alongside the specific job position, that you want the coding exam to gauge.
Examine Platform Adaptability: Identify tools that provide the flexibility of crafting tests to meet particular job requisites.
Evaluate Ease of Use: Both candidates and recruiters should find the platform easy to use.
Check For Growth Capability: Selecting a platform that has growth capability allows faster recruitment and onboarding for expanding mid-sized companies.
Look at The Analytics and Reports: Detailed analytics enable data-driven decision-making and assist recruiters in refining hiring strategies.
Benefits of Using Code Assessment Tools Online
The current market for skilled personnel poses unique challenges. Therefore, the use of code assessment platforms will be beneficial to the organisation. These advantages include:
Improved Quality of Hires: The use of coding tests enables many applicants at the initial stages to be screened by their competencies.
Improved User Experience: Better platforms, in particular those with intuitive designs for users, improve the candidate experience.
Recruitment Made Easier with Data: The ratio of errors made in recruitment using data-driven decisions is high compared to those made without the approach, and hence, the hiring outcomes are better.
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Future Trends in Code Assessment Tools
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AI-Assisted Code Evaluation: Artificial Intelligence is improving the precision and effectiveness of code evaluation assessments.
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Use of AI for Remote Proctoring: Remote monitoring of online assessments eliminates unauthorised activities during the evaluation process.
Conclusion
To effectively recruit software developers, organisations must integrate online code assessment tools into their recruitment strategy. These tools help them overcome hiring challenges and ensure they select the most competent candidates through objective, data-driven analysis. Organisations aiming to improve their recruitment processes can visit well-known platforms like Codexpro to leverage advanced coding evaluation tools.
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The Science Behind Plagiarism Detection: How Premium Tools Ensure Originality

Hey writers! Have you ever thought about how plagiarism detection is done? With so much similar content on the internet, how can a tool detect the originality of the content?
For those who often say, "write my assignment for me," understanding this process becomes even more crucial. Plagiarism is copying someone else’s work without proper attribution and is a serious offense in various fields.
Plagiarism can have severe academic and professional repercussions and can even lead to legal action in some cases. It can be intentional, where someone knowingly copies another's work, or unintentional, due to carelessness or a lack of understanding about proper citation.
Various tools are available online to detect the originality of the content. Let’s learn how exactly the plagiarism detection tools work here!
How Plagiarism Detection Tools Work?
Plagiarism detection tools use innovative computer programs to check if a piece of writing has been copied. They compare the text with a vast collection of sources, such as websites, articles, and books, to find any matches.
If you’re looking for help, services that say "write my assignment for me" often utilize these tools to ensure the originality of the content they produce for students.
Key Techniques Used in Plagiarism Detection
1. By the method of Text Matching
This is the simplest way to find copied work: the software searches for phrases, sentences, or paragraphs that are exactly or almost exactly the same in both the submitted text and the database it's being checked against.
2. By using the Fingerprinting Technique
This technique creates a unique "fingerprint" of the text based on various characteristics, such as word frequency, sentence structure, and punctuation patterns. These fingerprints are then compared to identify similarities between documents.
Plagiarism detectors use algorithms to compare these chunks with millions of sources, including:
Online articles, blogs, and websites
Academic papers and research journals
Books, PDFs, and digital libraries
3. By Doing Citation Analysis
The next technique is citation analysis. This technique checks for proper citation and referencing within the text. It can identify instances where citations are missing, incomplete, or inaccurate.
4. By Performing Semantic Analysis
This more advanced technique goes beyond simple text matching and looks for similarities in meaning and context between the submitted text and the reference database. This can help identify paraphrased plagiarism, where the wording has been changed, but the underlying ideas are still copied.
Advanced tools use Artificial Intelligence (AI) and Machine Learning (ML) to detect even cleverly disguised plagiarism. AI helps in:
Identifying reworded or paraphrased content
Detecting synonyms and grammatical changes
Understanding context and sentence structure
What is The Importance of Originality?
The important question is why it is mandatory to use a plagiarism tool or what is the importance of originality? Well, originality is very important in academics, research, and content creation. It shows that you can think for yourself, be creative, and add something new to your field.
When students seek help, like "write my assignment for me," it's essential that the work is original and not plagiarised. Plagiarism, which is simply copying other people's work, is the opposite of originality and can have serious consequences.
Plagiarism detection tools help people and organisations make sure that work is original and gives credit to the right sources. This keeps academic and creative work honest and trustworthy.
Why Are Premium Plagiarism Checkers Better Than Free Ones?
There are many tools available on the Internet that offer both free and premium services. While free tools can detect basic plagiarism, they often have limitations.
On the other hand, premium plagiarism checkers provide you with some additional benefits over free ones. Here’s why premium tools stand out:
1. Larger Database Access
Premium plagiarism checkers scan your work against a huge number of sources, including academic papers and other high-quality publications, to make sure it's original.
2. More Accurate Results
Even if something is changed, sophisticated AI tools can still figure out that it was modified.
3. Better Paraphrasing Detection
Premium plagiarism checkers use advanced tech and huge databases to find even reworded copied content - something free tools often miss because they're not as powerful.
4. Grammar and Citation Suggestions
Premium plagiarism detection tools frequently incorporate additional features that enhance the writing and research process.
These features commonly include grammar checks, which identify and suggest corrections for grammatical errors and stylistic issues, and citation recommendations, which assist users in properly attributing sources and adhering to citation styles.
5. No Word Limit
While free plagiarism checkers may restrict users to scanning only a limited number of words, premium plagiarism detection tools can scan entire documents regardless of their length.
Best Premium Plagiarism Detection Tools
Here are some top premium plagiarism checkers that students and professionals use:
1. Turnitin
This premium plagiarism tool is widely used in universities. These tools compare text against extensive academic databases and provide detailed similarity reports, making them invaluable for maintaining academic integrity.
2. Grammarly Premium
The next plagiarism tool is Grammarly. It is highly recommended as it detects both grammatical errors and plagiarism in the same document.
Not only this, it also offers AI-based writing suggestions. Plus, Grammarly is best tool for citation recommendations.
3. Copyscape
Another plagiarism tool is Copyscape. If you are a blogger or website owner then this plagiarism tools will work best for you. It helps to detect copied content by highlighting them. Thus, gives you the idea of the copied content.
How to Avoid Plagiarism?
Avoiding plagiarism is easier than you think! Follow these simple tips:
1. Use Proper Citations
Proper citation is essential for academic integrity and legal compliance. It acknowledges intellectual property, enables verification, and fosters scholarly conversation. Failing to cite sources can result in severe consequences.
2. Paraphrase Correctly
Express the same concept using different words, ensuring the original meaning remains unchanged.
3. Use Plagiarism Checkers
To make your blog or article authentic and original, use a plagiarism detection tool before submitting them. You can use either free or premium plagiarism checkers available online.
4. Take Notes While Researching
To prevent unintentional plagiarism, taking notes meticulously and rephrasing them into your own words is crucial. This practice ensures that your work remains original and avoids potential plagiarism accusations.
Benefits of Premium Plagiarism Detection Tools Over Free Ones
While free plagiarism detection tools can be helpful for basic checks, premium tools offer a range of advantages that make them more effective and reliable.
Larger Databases: Premium tools typically have access to much larger and more comprehensive sources databases, increasing the likelihood of finding matches for copied content.
Advanced Algorithms: Premium tools often employ more sophisticated algorithms, including semantic analysis and machine learning, to identify even subtle forms of plagiarism.
Detailed Reports: Premium tools provide more detailed and comprehensive reports, highlighting specific instances of plagiarism and providing information about the source of the copied content.
Integrations: Premium tools often offer integrations with other software and platforms, such as learning management systems and content management systems, making it easier to check for plagiarism within existing workflows.
Support and Training: Premium tools often come with dedicated support and training resources to help users get the most out of the software.
Conclusion
Plagiarism detection is a mix of AI, big data, and advanced matching algorithms. Premium tools provide better accuracy, wider database access, and advanced AI-based detection. Whether you're a student, researcher, or writer, using plagiarism checkers can help you maintain originality and avoid academic penalties. Always strive for originality and give credit where it’s due!
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Find the Best Free Plagiarism Software for Students – ZeroGPT
Plagiarism is a serious issue in academia and professional writing. Whether you’re a student submitting an assignment, a researcher publishing a paper, or a developer writing code, originality is key. Fortunately, tools like ZeroGPT offer a free plagiarism software for students, ensuring that their work is unique and free from unintentional duplication. If you need an efficient paper checker, PDF plagiarism checker, or even a plagiarism checker for programming, ZeroGPT is the ultimate solution.
Why Plagiarism Checking is Essential for Students
Students often face strict academic integrity policies. Universities and colleges use plagiarism detection software to ensure submitted work is authentic. Submitting plagiarized content can lead to severe consequences, including failing grades or even expulsion. That’s why using a free plagiarism software for students is a must. It helps identify duplicated content, paraphrased sentences, and unintentional similarities before submission.
ZeroGPT’s advanced algorithms scan academic papers, essays, and research documents with high accuracy, providing detailed reports to help students correct mistakes and maintain academic integrity.
Advanced Paper Checker for Accuracy
Writing research papers, essays, and dissertations require a lot of effort, and the last thing you want is to be accused of plagiarism. Our paper checker provides in-depth analysis and a percentage-based plagiarism report, allowing students to refine their content before submission.
Key features of ZeroGPT’s paper checker include:
AI-powered content detection
Detailed plagiarism reports
Citation checking and source suggestions
Free-to-use for students
Check Plagiarism in PDF Files with Ease
Many students and professionals work with PDFs, and plagiarism detection in PDF files can be challenging. ZeroGPT offers a PDF plagiarism checker that scans PDF documents thoroughly, ensuring that even embedded texts and images are analyzed.
Advantages of using ZeroGPT’s PDF plagiarism checker:
Supports multiple file formats
Detects copied content in research papers, articles, and e-books
Provides instant, reliable plagiarism reports
Plagiarism Checker for Programming – A Must for Developers
Coding projects often require originality, and duplicated code can lead to significant issues. If you are a student or a professional developer, our plagiarism checker for programming helps you verify that your code is unique.
Benefits of using ZeroGPT’s plagiarism checker for programming:
Detects similarities in programming languages like Python, Java, C++, and more
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Avoid Plagiarism: The Role of AI Content Detectors in Student Writing
Plagiarism is a big problem for students. Whether intentional or not, submitting copied work can lead to serious consequences like failing a course or even expulsion. To prevent that, students need to ensure that their work is 100% original. One of the best ways to achieve this is by using an AI Content Detector. This tool helps in scanning assignments for AI-generated or copied content in order to maintain academic integrity.
At Desklib, we recognize the challenges of academic writing. That's why we offer an AI Detection Tool to help students maintain originality. Let's examine how these kinds of tools function and why they are needed.
What is an AI Content Detection Tool?
An AI Content Detector is a program that is specially designed to analyze text to determine whether it has been written by a human or by artificial intelligence. With AI-generated content on the rise, universities are now implementing stricter checks to ensure students submit their own work.
They examine text by matching sentence structures, vocabulary, and writing flow. If the writing is too well-organized, robotic, or unnatural, the system is able to detect it as AI-generated.
Why Students Need to Utilize an AI Detector
1. Avoid Unintentional Plagiarism
The majority of students unintentionally create content that closely resembles existing sources. This can happen when they read an article and paraphrase it too closely. An AI Content Checker identifies passages that need to be rewritten to be original.
2. Detect AI-Generated Text
Although AI tools are helpful with brainstorming, they are not accepted in academic writing by all instructors. An AI Detection Tool helps students make their work sound more human-like and avoids them getting academic penalties.
3. Improve Writing Style
An AI Text Detection Tool can highlight text that sounds robotic or overly formulaic. By rewriting flagged content, students can create a more engaging and natural writing style, and ultimately improve their skills.
4. Follow University Policies
Most institutions now scan work using AI Content Detectors to identify AI-generated content. If found, students are likely to be asked to resubmit or even be penalized. Screening beforehand using a detector ensures compliance with academic standards.
Best Practices for Using an AI Content Detector
Now that you know why these tools are important, here’s how you can utilize them optimally.
1. Check Your Work Before Submission
Before you submit an assignment, run it through an AI Content Checker like Desklib's. It finds AI-like content and sections that may require revision.
2. Edit Flagged Text
If the tool underlines any portion of the text, don't panic! Rephrase the content using your own words to make it sound more natural and personal.
3. Proofread for Quality
Even if your work is not marked, always proofread for grammar and readability. A quality assignment is not just plagiarism-free but also polished and readable.
4. Use AI Tools Wisely
AI tools are great to research, but excessive reliance on them causes your writing to sound like a robot. Adding your personal insights make your work unique and authentic.
How Desklib Helps Students
At Desklib, we’re committed to helping students succeed without sacrificing academic integrity. Our AI Text Detection Tool is an instant and reliable way to detect AI-generated text. Whether you’re checking an essay, research paper, or any other text, our tool offers instant feedback.
With Desklib’s AI Content Detector, students can refine their writing and submit work that is confidently plagiarism-free.
Conclusion
In today's academic world, originality is more important than ever. An AI Content Detector helps students avoid plagiarism and AI-generated content in adherence to university standards. With tools like Desklib’s AI Detection Tool, students can scan their assignments, improve them, and submit quality work. Take a moment to check your text before your next submission—a simple step that can prevent academic issues in the future.
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