Cursive Analytics and Reporting

With Cursive active on your site or in your class, you’re empowered with new insights and information about student writing and submissions across time and assignments.

Writing Activity Report

Dive in to each assignment

✍️ Access writing statistics for each course easily to dive into the data or seek new insights about student trends or submissions.

Reports, charts, and graphs

📊 Downloadable reports create easy ways to visualize, compare, and analyze data across your course. Look for trends, outliers, or other insights to share with your class.

Single student insights

🧑‍🎓 Review a single student’s work easily from the participants page with them 1 on 1 or as part of a writing center visit.

Filter data for analysis

🎚️ Customize data and reports for analysis on or offline using the built in features. Filter by course, by submission, and/or by students to ensure that the right insights are just a click away.

Check in on assignment progress

⏰ Since Cursive is part of Moodle, assignment data is automatically logged in real time, even before the due date. Check in on any student assignments to review progress, run reports on student activity, and ensure that students are well positioned for success before 11:59pm on the day the assignment is due.

Downloadable Reports

Dive into the data by downloading filtered reports. With data at your fingertips you can more easily:

  1. Review student work to date
  2. Identify at-risk students
  3. Investigate potential academic integrity risks
  4. Understand assignment work estimates and loads based on writing behavior
Screenshot of the Authorship and Analytics page, displaying course and module selection options, a username input field, an order by dropdown, and a button to download a cumulative report along with a table showing attempt IDs and modification dates.
Download reports for analysis in Google Sheets or Office Excel
A scatter plot showing the relationship between effort and character count, with different colored dots representing varying levels of effort.
Create comparisons and charts to evaluate and compare student time, verbosity, effort, and more.

Submission Analytics

Analytics

Effort is quantifiable. From our unique evaluation of effort (attributable activity [characters typed] divided by submitted text [characters submitted]) you can easily place students along the continuum of authentic writing vs assisted writing (to fit any AI guidelines).

Difference

Attributed activity is reconstructed using our proprietary methods to create a new way to look at student work: what was written vs what was submitted. Easy to understand color coding shows pasted or generated text so that you can have a better understanding of student thinking/writing vs what was entered by gen AI or pasted.

Playback

Watch or scroll through the writing process as it unfolded. Color coding and text reconstruction is available to provide new insights to how students moved through the phases of writing from planning to translating to revisions.

Analytics

In the AI-era text is just a click away which makes the process more valuable than ever. With Cursive, writers and reviewers (students and teachers) have new data about student effort, time, and writing skills for any & every submission. Analytics include our Authorship model output (customizable by administrators), time writing, edits, word counts, writing speed, and effort (the quotient of in-process writing activity [process] and the final submitted text as a percentage).

A detailed analytics report displaying writing effort percentage, time spent writing, writing speed in words per minute, total word count, and revision percentage, accompanied by relevant icons.
New data and information to meet the challenges of validating student learning.

Difference

Paste information, comments from students, and a full text reconstruction compared to the submitted static text are provided in an easy to read format. The Difference tab pulls together the reconstructed text, student’s cite-source/paste comments, and highlights unattributed and pasted text (including generative AI).

Screenshot of a text comparison tool showing original text, pasted text, and comments indicating that the pasted text was written in another window.
Paste counts, paste comments, highlighted pasted text and changes not attributed to student (in this case Grammarly/spell check)

Playback

By collecting information during the writing process, we can easily playback the writing process and bring written submissions to life. This provides both writers and reviewers new insights to the writing process as it occurred. Our playback feature (“(Re)cursive”) color-codes additions and deletions while tagging paste events by time stamp.

Screenshot of the Cursive analytics interface showing text playback and editing features, including a text box with typed content and a timeline for playback speed adjustment.
Seek, play, or fastforward the writing process while seeing paste events occur as they happened.