Inspera Originality
We’re putting Academic Integrity Into the Hands of Academics, Where it Belongs.
With similarity and AI-generated text prediction tools, you’ll have all the information you need to maintain academic integrity to decide whether a submission is properly referenced or falls into the category of plagiarism.
Inspera Originality gives you the power to check student submissions in multiple languages against existing source material. This is a whole new level of originality checking.
With our combination of advanced similarity detection algorithms and translation capabilities, you’ll get a detailed view of potential similarities to review so you can make an informed decision as to whether a submission has properly referenced sources or contains plagiarized material.
Inspera Originality is available as part of Inspera Assessment. In Q1 2024 it will be available as an integration to your LMS.
Check submissions written in more than 30 different languages against the internet and repositories of published work.
Delve deeper by checking submissions for translation similarity using any two languages from our choice of 30.
Optionally, you can gain insight as to whether a submission contains English-language AI-generated content.
Proven to be the only product to effectively detect similarities translated from one language to another.
Advanced similarity parameters enhance precision and reduce the harm an incorrect allegation inflicts on your institution.
A clear, comprehensive view of a submission’s originality and sources, classifying findings as "Exact matches," "Possible altered text," and "Citation”.
All similarity findings link directly to the relevant page of the source.
You decide who can access your students’ submissions. Keep them within your institution or share them with other institutions.
Maintain academic integrity with confidence so potential issues can be reviewed and resolved quickly and efficiently.
Your institution will have full control over the data created by your institutional users.
Data is protected both in transit and when stored, in accordance with common data protection laws.
Data privacy is one of our core values, no student submission is stored without consent and data can be deleted any time.
Using Inspera Assessment as the core, you can add whichever solutions you need for your institution or organization.
Author, Deliver, Grade and Feedback
+ Inspera Integrity Browser
Integrated plug-in for additional exam integrity
Record and review AI-assisted proctoring
“Using Inspera Assessment hugely simplified our transition to digital assessments. The vast array of features accommodated diverse requirements, and the platform was simple to navigate and implement. Working with Inspera has been a pleasure!”
“The deans have been eager, as they can see the benefits. And once the users have transitioned to digital examination, they would not go back to the old system – there is no question of that. The use of digital examinations has risen steadily.”
“The University of London has a diverse and globally distributed student population. Our choice of Inspera really reflects our need for an online assessment platform that is fit for the long term and gives us the flexibility to deliver a huge range of assessment types, securely, to any setting anywhere in the world. Our students have really appreciated that it is easy to use and supports the integrity of the award they have worked so hard to achieve.”
“Some students didn’t want to take the exam online simply because they were nervous. All of the students who did it online reported great satisfaction. All of the students who didn’t do it online, later said they wish they had done it. That is really interesting when you think about it.”
“At the University of Surrey, we want to provide our students with an exceptional student experience. Therefore, our move to Digital Assessment needed a service that provided feature rich software which fulfilled all our functional and non-functional requirements, but also one that would have an intuitive user interface. We also looked for a partner with a track record of working with institutions that have implemented Digital Assessment in the same way as we will. Inspera matched that profile”
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Similarity detection is a technique to ensure academic integrity and maintain the value of education. It identifies and compares similarities between ideas and content compared to those already published.
In the context of universities, where reputation and the value of education are paramount, similarity detection plays a pivotal role in ensuring students cite their sources correctly and can prove they truly understand their topic.
AI detection is the process of evaluating a piece of content for the probability of generative AI use. In education, this is valuable to check whether students have improperly used AI for assessments and to check whether their work is their own.
Yes. Inspera Originality can be used as a similarity checker without the AI-generated content prediction functionality.
No. Inspera Originality doesn’t flag plagiarism but rather the potential mis-citation of sources. An allegation of plagiarism is serious and should only be made by an academic. Inspera Originality streamlines the process and saves time, allowing the educator to focus on their expertise.
A false positive occurs when the similarity detection system mistakenly identifies a student’s work as similar to a source, even when the student’s work is entirely original. This error can arise from factors like using low-quality sources, sharing common ideas, or not fully grasping the conventions of proper citation. It’s crucial to tackle false positives in similarity checking to prevent unjust accusations of plagiarism against innocent students.
No, institutions have full control of all data and submissions are not re-used for similarity checking.
Inspera Originality checks a minimum of 1,000 words in 100 seconds with 62.26% more effectiveness in finding plagiarized content compared to competitors.
Educators and students have the same goal. Both need to be confident that work submitted is authored by the student, with appropriate citations and acknowledgements of external sources. Recent developments in generative AI have rocked confidence for both parties when submitting and reviewing student intellectual property.
With Inspera Originality, institutions can detect and differentiate between citations, similarities between existing sources in multiple languages (translation plagiarism) and AI-generated text. Which you choose to detect is your choice – any decision on plagiarism is yours to make.
Yes. Inspera Originality will be available as an integration to your LMS in Q1 2024.
