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Product overview

Our Digital & Online Assessment Solutions

An end-to-end assessment platform with additional solutions that can be combined to create a digital assessment ecosystem, covering all your assessment needs in one place.

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Assessment types

Flexibility to Assess as You Need

You can customise each assessment to suit your needs by combining format and delivery options in Inspera.

Select your optimum configuration and then grade your assessments using our rich palette of grading methods.

Finally, deliver feedback to your students within the platform.

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Coursework / Portfolio

Students upload or create a single file or multiple artefacts over a defined period of time.

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Open-Book Time-Constrained Assessments

Students are given a short defined window to create or submit their work.

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Live

Students perform, speak or present in real time.

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Closed-Book Exams

Students take a traditional exam with limited access to material.

Feedback

Share Automatically or Individually

However you choose to assess, you have access to a rich feature palette of feedback tools including rubrics, written comments, annotations and voice notes.

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Benefits

Across the Ecosystem

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End-to-End

Manage the entire assessment cycle – planning, authoring, delivery, grading and feedback – all in one place.

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Suitable For All

Flexible assessment setup, allowing you to create assessments that work for your institution, including customisable integrity features.

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Assess with Ease

A user-friendly, distraction-free interface that promotes a stress-free experience for candidates and staff.

At a glance

What Are the Options?

We offer an end-to-end assessment platform with additional solutions that cover all your assessment needs entirely on-screen.

Inspera Assessment

Author, Deliver, Grade and Feedback

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  • LMS integration
  • Scalable
  • Network resilience
  • Flexible delivery
  • Grading workflows
  • Rich feedback

+ Inspera Integrity Browser

Integrated plug-in for additional exam integrity

Inspera Proctoring

Record and review AI-assisted proctoring

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  • AI-enabled
  • Webcam monitoring
  • Screen monitoring
  • Microphone monitoring
  • Flexible settings
  • Candidate check-in

Inspera Originality

Detect similarities and AI-generated text to determine plagiarism

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  • Similarity detection
  • AI-generated text detection
  • Cross-language similarity checking
  • Full data control
  • Fast, accurate results
  • Direct source access
Testimonials

Trusted the World Over

“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!”

Dr Dee Scadden, Director of Teaching and Deputy Head of Department, Department of Biochemistry,
University of Cambridge

“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”

Steve Hoole, Education Programme Manager, University of Surrey

“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.”

University of Bath

“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.”

University of Oslo

Inspera in Numbers

6M+
Submissions delivered in the last 12 Months
160+
Countries with end-users
160+
Customers
225+
EdTech enthusiasts working together

Contact Us

Our education consultants are here to help. Please complete the form below, and we’ll be in touch soon.

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FAQs

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.

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.

Just like an in-person proctor, online proctoring software allows you to check whether exam regulations are followed by candidates. Candidate behavior can be monitored using a webcam, microphone and screen recording. The proctoring software flags suspected behavior for review by a human.

Proctored exams are assessments that are supervised by a proctor, someone appointed by an institution to ensure the exam follows regulation.

If delivered face to face, proctored exams are conducted in an invigilated exam hall, where the proctor makes sure proper conduct is maintained in-person. Online proctored exams are a digital version of an invigilated exam hall. During online proctored exams, students are monitored using a proctoring software, ensuring exam integrity is upheld.

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.