Inspera Originality integration with D2L- User Guides


This document details the usability of Inspera Originality within D2L Brightspace, providing a comprehensive how-to guide into the key features of the tool. The document explains the functionalities of each user, outlining their permissions and capabilities. 

Please note that this document does not contain information pertaining to the process of integrating the tool within the learning management system. A detailed step-by-step guide on this process can be found here.


1. Administrator

The administrator can complete a multitude of different functions such as adding courses, external tools, and participants. 

Proceed by logging into D2L Brightspace as an administrator. 

1.1 Adding a Course

Click Settings > Course Management

Click Create a new course offering or template

Select a template and click next

Set the Course Offering name, code, and click Next

Click Create

Click Done

Navigate to the newly created course 

Click Content > Add a module > Write a name for the new module

Navigate to Existing Activities and click External Learning Tools

If the tool does not appear in the list of External Learning Tools, it is likely still being processed by the platform.

1.2 Adding Participants

Remain on the main course page and click More > Classlist

Click Add Participants > Add Existing Users

After filling in the required information, The new user will be created and granted access to Inspera Originality. 

1.3 Inspera Originality Dashboard: Administrator

The Inspera Originality dashboard contains four sections, each providing a specific functionality. 

1.3.1 Analytics

The analytics section provides institutions with a comprehensive overview of numerically displayed usage rates. The section outlines the number of subjects, assignments, students, educators, and submissions. This information can be found under the Overview subsection

Additionally, this section also provides detailed information on Institution Ratios, enabling access to useful insights concerning Student-to-Educator ratios and more. 

Lastly, the Analytics section contains a graph that depicts the trajectory of academic integrity issues within an institution. The graph is utilized to emphasize the months with the highest and lowest numbers of documents containing issues related to academic integrity. 

Further detailed information, such as the educators with the highest volume of assignment submissions, is available below the graph.

1.3.2 Academic Units

This section provides comprehensive insights into institutional data, emphasizing two primary subsections: total subjects and total assignments. In the total subjects subsection, users can access detailed information on all subjects, with options to filter subjects by educators or search by name or student. Similarly, the total assignments subsection offers a detailed overview of all assignments, allowing users to filter by educator or search by name or student.  Additionally, each unit includes an expand button, facilitating access to more detailed information specific to that unit.

1.3.3 Subjects

The subjects section provides comprehensive information on all institution-wide subjects. The following information is provided for each subject: 

  • Name - The name of the subject
  • Educators - Professors teaching the subject
  • Number of Enrolled Students
  • Academic Year - The year the subject was or is being taught in
  • Mandatory Status - Whether the subject is mandatory or not
  • Availability Status - Whether the subject is active or not

The section also provides filtering capabilities, allowing for a more detailed view of specific information. 

1.3.4 Submissions

The Submissions section contains institution-wide assignment submissions. Each row in this section represents a specific assignment submission and contains the following information: 

  • Title - The title of the submission
  • Full Name - The name of the student responsible for the submission
  • Submission Date: The date on which the submission was made 
  • Document Language Similarity: The similarity score in terms of original language analysis
  • Translated Language Similarity: The similarity score in terms of translated language analysis
  • AI Index: The AI Authorship score in terms of AI-text prediction
  • Report: This is a button that redirects the user to the originality report

2. Professor

First, log into D2L Brightspace as a professor.

Upon logging in, you will be presented with the main professor dashboard where all of your courses can be found. 

2.1 Accessing the Course and Creating an Assignment

Accessing Inspera Originality in D2L Brightspace is straightforward. 

Select a desired course and navigate to its main page

Then, click on the module within the course that contains Inspera Originality. This will launch Inspera Originality on the same page. 

Clicking on an assignment will trigger a modal containing prefilled data.


While the first few fields of the modal are self-explanatory, explaining the Original and Translated language options and the AI detection functionality is imperative. 

Original Language 

The selected language for this option indicates the language in which the assignments must be submitted. Additionally, the similarity checking will also be conducted in the same language. 

Translated Language

The selected language for this option indicates the language in which the similarity test must be conducted. E.g if the language has been set to Spanish, the detector will look for translation similarities and determine whether the text has been translated from Spanish.  

Enable AI Detection

While the tool can identify similarities between documents from both same-language and translated language sources, it also provides enhanced AI Detection. Enabling the AI Detection option will allow the Inspera Originality tool to check a document for content potentially generated by artificial intelligence. Note that this capability is disabled by default and only becomes available if enabled by a professor or administrator. 

2.2 Inspera Originality Dashboard: Professor

2.2.1 Overview

The overview section of the tool provides easy access to essential information. In this section, users can view the number of subjects they’ve been assigned, the number of assignments for those subjects, as well as the total number of assignment submissions. Furthermore, this section also provides information on the number of documents with low, medium, and high similarity percentages. 

Under this section, you will find a graph that showcases the months with the highest and lowest numbers of documents containing issues related to academic integrity. The graph can aid in determining whether the academic integrity of student submissions has improved or declined from month to month.

Underneath the graph is another informative subsection that serves the purpose of displaying the latest student submissions. 

2.2.2 Academic Units

This section of the dashboard is divided into two main subsections, Subjects, and Assignments,  aiming to provide essential information related to both. 

The Subjects subsection is where a professor can locate all of their subjects. Moreover, detailed information is provided for each subject, including the subject name, corresponding school/department, number of assignments, number of submissions, and number of enrolled students. Additionally, users are also provided with data on the average percentage of original language similarity issues and the average percentage of translated language similarity issues across all submissions.

The Assignments subsection is where a professor can locate all of the assignments they have created. Furthermore, each assignment is accompanied by detailed information, including the assignment name, corresponding subject, beginning and end dates, the number of submissions, and the number of students assigned to it.  

Further information, such as the number of submissions with high, medium, and low similarity issues, is displayed upon clicking on the expand button.

2.2.3 Administration

The Administration section is where created assignments can be edited. This section displays all assignments in a listed manner and provides information on assignment names, corresponding subjects, beginning and end dates, assignment types, and the number of submissions for each assignment.  

Additionally, there’s an Edit button available for each assignment. Clicking the Edit button will trigger a modal. This is where you can change an assignment’s name, subject, start and end dates, original and translated language selections, enable or disable AI detection, change the assignment type, set late submission or resubmission permissions, and update the description. 

To save the changes, you must click on the Update Assignment button. 

2.2.4 Submissions

The Submission section displays all student submissions in a listed manner. Furthermore, this section provides valuable insight into student submissions, including the submission name, the corresponding subject and assignment, submission date, total word count, access information, document language percentage, translated language percentage, and AI authorship percentage. 

Moreover, a Report button is available for each submission. Clicking this button will redirect the user to the Originality Report where the submission can be evaluated and checked for originality and academic integrity. 

2.3 Understanding the Originality Report

To access an Originality Report for a specific submission, simply click on the report button for that particular submission. 

2.3.1 Report Navigation 

The report navigation bar is conveniently located above the content, with each tab representing a page. Depending on the document issues, tabs are color-coded with red indicating that a specific page requires particular attention. 

2.3.2 Submission Information

Each submitted document contains a set of data that illustrates details about the submitted document. Such details include the student's name, submission title, and the submission date.  

2.3.3 Similarity Section

The similarity section displays key information about a submitted document focusing on similarity detection and providing a comprehensive view of matching sources. 

The section includes similarity analysis as part of the originality check by comparing sentences against existing sources. The tool supports 30 languages and cross-language similarity detection, adding another layer of functionality. Original Language

The original language similarity check is straightforward. A document is checked against other documents in the same language. Translated Language

A document is checked against other documents in multiple other languages to determine if its contents have been translated. Inspera Originality provides over 100 language pairs, allowing users to compare languages interchangeably E.g. French to Spanish and Spanish to French. Additionally, the tool provides matching sources and sentence-specific information regarding similarities. Once the document is processed, users can access the originality report and analyze the similarity issues.  The translated language analysis provides sources in the language set for comparison. E.g. If the language is set to Spanish the tool fetches back matching sources in Spanish. 


2.3.4 Sources

Inspera Originality provides users with a list of matching sources, highlighting areas of a document that display similarities to these sources. Sources are listed on the right-hand side of the screen and conveniently listed for easy access. 

Each source includes the following components:

  1. Index Number: Index numbers are assigned to matching sources for easier identification within the originality report. 
  2. Similarity Percentage: This number shows the percentage of similarity to matching sources. 
  3. Source URL: Each source contains a URL that redirects the user to a specific source.
  4. Interaction Buttons: Each source row includes a set of buttons to enhance functionality such as the exclude button, reinclude button, and filtering buttons. 

Inspera Originality enables excluding sources from the originality report. This facilitates enhanced control over the document. Users can remove/exclude by navigating to the index panel and clicking the unlink button. Doing so will exclude and place a source in the Excluded Sources section. 

2.3.5 AI Authorship 

The AI Authorship Index is located on the right-hand side of the screen and

presents information on the likelihood of content being written by artificial intelligence. Additionally, it provides essential information on text-related classifications. The authorship analysis offers sentence-specific insights about the uploaded document and divides this information into: 

  1. Total Sentences: Refers to the total number of sentences in the document.
  2. Number of AI-written Sentences: Refers to the number of sentences potentially written by artificial intelligence. 
  3. Number of human-written sentences: Refers to the number of sentences potentially written by a human.

Sentences suspected to be written by AI are highlighted in purple. Note that this depends on the detected percentage. 

2.3.6 Legend Highlights

Upon the conclusion of the originality check, document sentences are highlighted in one of four specified colors. Colors help users understand which sentences require close attention. 

  1. Red: Sentences highlighted in red are noted as exact matches. Such sentences are nearly identical to those in the respective matching source. 
  2. Blue: Sentences highlighted in blue are noted as potentially altered text and resemble those in the respective matching source moderately.  
  3. Green: Sentences highlighted in green are noted as sentences that resemble those of a matching source but properly cite the source. 
  4. Grey: Sentences highlighted in gray are excluded sentences that have been absolved for plagiarism. 

2.3.7 Canvas Information

The submitted document is placed in the center of the canvas. Each problematic sentence is highlighted using the aforementioned color coding. 

If a submitted document contains media, the platform will also render them. 

2.3.8 Sentence Information

Inspera Originality enables understanding originality at the sentence level. This is achieved by providing detailed information related to a specific sentence within the uploaded document. 

Users can access sentence information simply by clicking on a sentence. This will trigger a dialog window containing information on the sentence source followed by the Exclude Sentence, Change Source, and Include Sentence buttons.

Additionally, the sentence information dialog window shows the sentence in the matching source that exhibits similarities to the highlighted sentence in the document. Moreover, matching words are highlighted to allow for a better understanding of the similarity level. The dialog window displays the linked source where the similarities were found, allowing users to view the source directly. Sentence Information: Change Source Button

Inspera Originality also enables changing sources. This is achieved by clicking on a sentence and clicking on the Change Source button. This will present a list of available sources the user can choose from. Sentence Information: Exclude Sentence Button

Sentence exclusion is another capability of Inspera Originality that permits the exclusion of flagged sentences. This is achieved by clicking on the Exclude Sentence button. There’s an additional comment box, where users can provide a reason as to why they want to exclude the sentence. Note that excluding a sentence will decrease the similarity analysis percentage.

2.3.9 Settings

The settings section enables managing document permissions. The settings button is located on the left-hand side of the originality report menu. Clicking the Settings button will trigger a model that presents the following options: 

  • Give student permission to delete document sources
  • Give student permission to delete everything about this document

The above options enable students to delete a document from the Inspera archives. Consequently, no new submissions would be checked against this document due to its absence in the Inspera archives. Subsequently, students can delete the matching sources or choose to delete everything permanently. 


The “Download” button is located on the left-hand side of the document canvas. 

Users can download three documents: 

  • Original Language Report
  • Translated Language Report
  • Document File

The “Original Language report” provides a PDF version of the originality report for the original language (i.e. English-English), containing all essential details from the online version. This includes the document's author, title, similarity index (before and after evaluation), sources of similarity, and a canvas highlighting the sentences in question. The highlighted sentences in the report are interactive and clicking on them will direct you to the links where the similarities were detected.

The “Translated Language report” provides a PDF version of the originality report for the translated language (i.e. Spanish-English), containing all essential details from the online version. This includes all the fields and functionalities mentioned in the original language above.

The “Document File” will simply offer the choice to download the submission into a PDF file for further use.

The “Document File” offers the option to download the submission into a PDF file

3. Student

3.1 Logging in as a Student and Launching Inspera Originality

Log into D2L Brightspace as a student. 

Upon logging in, you will see the courses you are enrolled in. 

3.2 Accessing Inspera Originality

Select the desired course

Click on the created assignment

Inspera Originality will launch on the same page

3.3 Submitting a Document 

The main interaction of students and Inspera Originality stands in assignment submissions. 

To submit an assignment, students must navigate to a desired course and click on a specific assignment. Doing so will launch Inspera Originality, which is where the document submission takes place. 

Click Select File 

Upload the document, fill in the required information, and click Submit

3.4 Inspera Originality Dashboard: Student

3.4.1 Upload Button

As explained earlier, the upload button allows students to upload documents for submission. Students must select a document, complete the upload form, and click the submit button

3.4.2 Overview 

The overview section grants students a general view of their subjects, assignments, and latest submissions. In this section, students can view the subject enrollment, the number of assignments delegated for each subject, and the number of assignments they have submitted. Additionally, students can view the total count of submissions containing low, medium, and high similarity classifications. The section includes a graph highlighting the months with the highest and lowest instances of documents with similarity classifications.

3.4.3 Academic Units

The Academic Units section contains two primary subsections: Subjects and Assignments

In the Subjects subsection, each subject row displays essential information, including details about the subject educator, assignment count, submission count, late submission count, and the scores for both original and translated language similarity classifications.

In the Assignments subsection, each assignment row displays essential information, including details about the corresponding subject, educator, end date, submission count, late submission count, description, and the scores for both original and translated language similarity classifications.

Additionally, both subsections include an expand button in each row that shows the exact count of documents with low, medium, and high similarity classifications. 

3.4.4 Submissions

The submission section grants students a complete view of their submissions sorted by subject/assignment. Each submission row displays essential information, including details such as the submission name, the corresponding subject, and the total submission count. 

Moreover, an expand button is available for each row, displaying supplementary information on the submission status, word count, percentage of original language similarity score, percentage of translated language similarity score, and percentage of AI Authorship prediction. 

Each row includes a Report button, which enables the student (if the educator has provided access) to view the Originality Report of their submission. It is important to note that Students can only access the report if permitted by an administrator or educator. 

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