Verifying authorship can now be less tiresome and complicated. The AI-powered assistant, Emma, flags every paper that differs from the regular writing style of a student, allowing you to always know who needs your assistance.
See Emma’s Beta in ActionSelf-learning Algorithm
Artificial intelligence is constantly learning. The more papers Emma processes, the more she knows about the writing habits of the student, and the better she recognizes them.
NLP-based Feedback
Natural language processing enables Emma to break down the writing into linguistic and stylistic silos. This helps her understand students’ word choice preferences, popular word combinations, etc.
No Databases Required
Unlike plagiarism checkers, Emma does not compare students’ submissions against academic databases and online sources. She uses machine learning to study the writing style, and then she shares her conclusion.
Instant Response
After Emma has learnt enough to start the verification process, you will receive her feedback right after each similarity check is performed. There is a separate tab for that right inside the Unicheck Similarity Report.
LMS administrators
Emma is seamlessly embedded into Unicheck’s Similarity Report. No extra time needed for configuring integration, integrations, or faculty training.
Educators
Emma gives educators reliable insights into their students’ work. She reduces routine tasks saving more time for communication with students.
Students
By sharing the authorship assessment, Emma helps identify students who need more attention and the right care.
To see Emma in action, your academic institution can be using any LMS with LTI integrations or Canvas LMS with its Plagiarism Framework enabled. At least one active course with 7+ students enrolled is required. For those of you who aren’t utilizing compatible LMSs, we can provide access to a test environment with Emma being already part of it. Please email our Support Team at integrations@unicheck.com to receive more details.
She sure does. Every Canvas LMS user(schools and universities) can use Emma with Unicheck not only with an LTI type of integration, but also within the Canvas native workflow.They get access to both Unicheck and Emma, since Emma is embedded into Unicheck’s report.
Definitely.You can apply for a free two - month Emma beta testing.What is more, you will be granted access to Unicheck on equal terms, since Emma is part of Unicheck’s report.
For now, Emma is fluent in English only.But Spanish will most likely to be the next.
They are destined to be together to provide you with an all -in -one solution that can prevent plagiarism and contract cheating attempts.
Having learnt enough, Emma can share her conclusion on whether the student is the author of the submission.However, Emma does not say who exactly is the true author of the paper.She aims to verify authorship, not to identify it.
Feel like Emma may be a good fit for your institution? Join the closed beta testing and receive exciting swag for yourself and a two-month Unicheck free trial for your institution.