Inspera Originality
Combining advanced similarity detection algorithms with translation capabilities, Inspera Originality gives you deep insight into student submissions so that you can make the right decision as to whether it’s their own work or contains plagiarised material.
We take data ownership seriously. You retain direct control of your data. Submissions are not shared with others by default. You choose what’s retained, what gets deleted and if you choose to share your database with other institutions, who you share it with.
Inspera Originality provides rich insights to help educators make decisions on originality, similarity and potential academic misconduct such as plagiarism. Check student submissions in one of 30+ languages and up to three additional languages using our translation plagiarism checker to safeguard against the misuse of sources in those languages.
Our advanced similarity detection algorithm includes configurable contextual similarity to better inform your decision-making process.
Inspera Originality is available as part of Inspera Assessment and/or as an integration to your LMS.
Similarity checking from a choice of over 30 languages in original-language similarity and up to three additional languages in translation similarity.
Where it fits your pedagogy, permit students to view the originality report before they submit.
Shine a light on different forms of text tampering including: character replacement, hidden text and images in place of text.
Effective detection of similarity from any language pair chosen from our list of over 30 languages. Neither of which has to be English.
Cohort analysis to help educators identify patterns and anomalies to assess originality. If enabled, it also allows students to compare their submission with those of others in the same assessment.
Our easy-to-use, colour-coded report helps you differentiate between potential categories of similarity: exact match, context
similarity, and multiple language similarity, as well as advanced text manipulation and metadata analysis.
Go straight to the potential similarity source with a direct in-line link from both the on-screen and downloadable report.
Your data belongs to you. It’s not shared by default. Share within your institution, with selected other institutions or keep it private. Choose what remains in your database and what you delete.
Configurable contextual similarity to compare the relationship between sentences, to give you more meaningful similarity insights.
1. Compares submissions written in over 30 different languages against a vast database, including online sources and repositories of published academic work.
2. Results are presented in detailed reports that help educators and institutions quickly identify any potential instances of plagiarism.
3.Similarity checking in ~30 languages in original language similarity and up to three languages in translation similarity.
A classification for every document, including the number of possible Al-written
sentences.
Get insights on a sentence level, scored based on their likelihood of being produced by
Al.
Identify potential misconduct early and engage in meaningful conversations with
students about academic practices.
Shine a light on new forms of text tampering including:
Character replacement – using letters from other alphabets in the text to avoid plagiarism detectors
Hidden text – using white text to inflate the word count
Image in place of text – using screenshots to capture chunks of text as an image.
Already a user of Inspera Assessment?
Simply include Originality with a click.
Integrate Originality within your already existing workflow
with LTI 1.3 integrations + Canvas direct integration.
Inspera Originality can easily be included in your workflow.
Contact us to learn more about bespoke API integration.
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”
Book a demo today to see how your faculty will benefit. Our experts will guide you through tailored demos to address your unique needs.
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.
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.
Yes. Inspera Originality can be used as a similarity checker without the AI-generated content prediction functionality.
Yes. Inspera Originality is available as an integration to your LMS.
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.
