This summer has turned to be very hot for our Unicheck team not only because of the heat slowly melting our brains, but also because of an impressive list of international conferences and expos we’ve attended so far and are going to take part in.
The Unicheck team is never tired to pleasantly surprise you. Now it’s the turn of numerous Canvas users! All the educational institutions making use of the Canvas LMS are highly welcome to install the Unicheck app (if you haven’t done it yet) and make the most of the enhanced Unicheck functionality.
It now has a newly updated interface and similarity report as well as a commenting feature to help educators share their feedback with students in a quick and simple way. And the latter will definitely help educators using Canvas increase student engagement.
Let’s have a closer look at these updates.
We’ve got good news! Our team has added a new check type, which allows the Unicheck corporate users to enjoy more advantages of the fast and thorough checking for plagiarism. Meet the Doc vs Internet + Library check type! What does it mean? In fact, this type is a perfect combination of the other two existing types of checks. And, it means that you can simultaneously check your documents against countless online sources on the web and the whole scope of documents uploaded to the Unicheck account of your educational institution.
Below there are a few screenshots, so that you can see the Doc vs Internet + Library check type in action.
We’re excited to share with you more news on the participation of the Unicheck team in education oriented events. This spring Anastasia Parokha, CEO at Unicheck, went to Liverpool (UK) to take part in the closed-door event initiated by Collabco, the provider of myday.
Myday is a service that allows educational institutions to boost student engagement and help them stay focused on their studies. The tool collects and compares information from different sources to find exactly what students need to get ready for their assignments. The aggregated information is then presented to students in a very understandable way.
This week the Unicheck team has released an updated version of the user interface inside the accounts used for both individual and business (university/college) needs. The newly added section, Owner, now shows emails of those who own uploaded files. Therefore, you won’t need to spend extra time to find out who uploaded documents. To see the new Library design, just take a look at the screenshot below.
If you’re running a blog, you know for sure that original content is an incredibly significant thing. Authors may use a plagiarism checker or our free advanced plagiarism checker, Google Alerts or other tools to find lifted content, and issue takedown notices to stop the thieves from illegally using their posts.
Just imagine, you’re writing a new article for your blog, and while searching for relevant information, you come across a few good web resources. You can’t but use them in your article. What should you do next? Of course, you are to scan your newly written work before posting it.
Since plagiarism is a rather complicated issue to solve and requires protective measures to take, you will need to develop a kind of strategy to prevent it. This way you ensure that your academic reputation isn’t hurt. Obviously, you should know how to check plagiarism online. Of course, you can find numerous posts where experts suggest making use of their advice. We, in our turn, are happy to provide you with some examples and tips on how to use the Unicheck software more effectively.
After you run a plag check and get a high similarity score, you may be puzzled by the question: how can I make it lower? Well, there are a few ways to help you successfully cope with this issue.
Previously, we mentioned paraphrasing and quoting as the most effective techniques to eliminate plagiarism. Also, we revealed the secrets of citing different types of sources – online press and web documents as well as websites, social media and multimedia. And now we’d like to provide you with a number of specific recommendations on what to do if you want to decrease a high similarity percentage.