New Partial Credit for Categorization Questions

How do I create a Categorization question in New Quizzes? – Instructure Community

Categorization questions require students to place answers in the correct categories while ignoring all distractors. Previously, this question type did not allow for partial credit. Starting with the April 22 release Canvas will all partial credit. Canvas categorization questions require students to drag specific items into labeled boxes, which are graded either as an “Exact Match” for full points or via “Partial Credit” based on the percentage of items placed correctly. In the partial credit model, the system calculates the score by dividing the number of items correctly sorted by the total number of items available in the question.

  • Student scores are calculated based on the total number of correct decisions rather than all-or-nothing scoring.
  • Correct decisions include placing items in the correct category and correctly leaving distractor items unplaced.

Change Benefit

Improved grading accuracy: Partial credit scoring allows instructors to award points for correct categorization decisions, providing a more precise measurement of student understanding.

A screenshot showing an expanded "Options" menu on a white background, with all original text and labels removed. Two numbered circular labels remain, marking key areas. Circular label "1" is on the left, to the left of where the "Grading" text was. Circular label "2" is on the right, to the right of where the help icon and arrow were. A red arrow points from circle "2" towards circle "1". The overall visual style is a clean, minimal user interface panel with a vertical blue line on the right edge. The numbers 1 and 2 are clear and prominent. All context text is absent.

When building a Categorization question, the Grading section [1] displays in the Options drop-down menu. For descriptions of each grading option, click the Tooltip icon [2].

An interface titled Results for a user named Ben Anderson, showing a quiz score of 75%. The page is divided into two main sections: Summary Stats: A circular progress bar indicates the 75% score. Next to it, a black circle with the number 2 points to the score 0.75 Out of 1 point. The time for the attempt is listed as 00:45. Your Answers: This section shows a categorization task where the user had to sort elements into "Formal Writing Assignment" or "Informal Message." A black circle with the number 1 and a red arrow points to the specific score for this question: 0.75 / 1 point. Formal Writing Assignment column: Contains four items. Three are marked correct with green checkmarks (Academic tone, Proper grammar and punctuation, Clear thesis statement, Organized paragraph structure). One is marked incorrect with a red "X" (Slang), noting the correct answer was "Informal Message." Informal Message column: Contains three items. Two are marked correct with green checkmarks (Emojis, Text abbreviations). One is marked incorrect with a red "X" (Complete sentences), noting the correct answer was "Formal Writing Assignment."

When partial credit is used, students can see the partial credit awarded for each question [1], and the total score is automatically calculated based on those partial points [2].

AI Question Authoring Assistance

IgniteAI Question Authoring allows instructors to generate quiz questions by pulling from existing Canvas course content, such as modules and files, uploading files (if you have not already added Canvas course content), or by manually entering up to 20,000 characters of text. To ensure the questions fit your context, users can refine the AI’s output by selecting a specific topic focus, learning outcomes, Bloom’s Taxonomy levels, and depth of knowledge settings. Once a question is generated, the tool provides a preview where authors can review, edit, or regenerate the item before finalizing it for their quiz. At this time, only multiple choice question types are available.

If you have questions, please submit a tech ticket to get in touch with your Technology Integration Specialist.

Recommended Posts