PLAGIARISM CHECKER
Plagiarism checker is a free and user-friendly online tool that allows you to check whether information belongs to another author or not.
Click here to access the tool.
PLAGIARISM CHECKER
Plagiarism checker is a free and user-friendly online tool that allows you to check whether information belongs to another author or not.
Click here to access the tool.
Here's a brief tutorial on how to use it:
How can you use this tool in class?
The following activity is a suggestion for a group of teenagers preparing for FCE:
In preparation for the writing component of the FCE, you will write an opinion essay. You will have one our, and you can choose one option from the ones in this link. You will do this in the computer lab.
1) Open a g-docs and write your name and surname, day, and the essay. Once it's ready, upload it to our classroom, as a new announcement to the group.
2) Peer review: Each of you will be assigned an essay to revise. Use the following questions as a guide to give your classmate feedback.
-Grammar: Are there any grammar mistakes you can spot?
-Spelling: Are all the words spelled correctly?
-Content: Are the ideas clear and coherent?
-Connectivity: Are linkers and conjunctions properly used?
-Structure: Is the essay properly structured?
Include a little text containing this feedback as a comment to the post.
3) Time to check plagiarism and AI: Use the tool plagiarism checker to, firstly, verify that your classmate hasn't used AI to write it. Secondly, check whether there is plagiarism in it. A tutorial on how to do both things can be found by clicking here.
4) Share your results as a second comment in the post.
5) Now, check the feedback you got from the two comments, and make the necessary changes. Then, send the final version to your teacher through classroom for the final mark.
How is this activity linked to the theoretical frameworks?
In an activity like the one proposed above, the teacher can potentially talk about plagiarism and the importance of avoiding it. According to DigCompEdu framework, this would be within the competences of digital creation and responsible use. Furthermore, as the teacher can correct the essays (final result) but also consider the feedback given by the peers (formative assessment) the competence of assessment strategies proposed by this same framework can be addressed.
According to the SAMR model, this activity could be categorized as a redefinition one, because in the step 3) students are asked to do a task (checking AI content generated and plagiarism) that could not be done without the use of technology (Romrell et al., 2014).
Source: Pexels
Which are the benefits of using this website?
This tool may be beneficial for students to become aware of the importance of not copying others' ideas. This is paramount, since plagiarism is not only unethical but also illegal (AIContentify, 2025). Moreover, research shows that AI content detection can encourage critical thinking; "When students know that their work will be thoroughly checked, they are more likely to carefully consider the sources they are using and think critically about how to incorporate them into their work" (Lavergne, 2023, para 6). According to the same author, these tools can create a culture of honesty, since "when students know that their work is being verified thoroughly for AI generated content AND plagiarism, they are more likely to take academic integrity seriously and strive to create original and honest work" (Lavergne, 2023, para 11).
References
AIContentfy (2025) The role of AI in content plagiarism detection
https://aicontentfy.com/en/blog/role-of-ai-in-content-plagiarism-detection
European Comission (n.d.) DigCompEdu framework
https://joint-research-centre.ec.europa.eu/digcompedu/digcompedu-framework_en
Lavergne, T. (2023) 10 Reasons Why AI Content Detection is Essential for Education
https://gowinston.ai/10-reasons-why-ai-content-detection-is-essential-for-education/
Romrell, D. Wood, E. & Kidder, L. (2014) The SAMR Model as a Framework for Evaluating mLearning
https://www.researchgate.net/publication/264549561_The_SAMR_Model_as_a_Framework_for_Evaluating_mLearning