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For quizzes, you can create the following question types in Question Library
Note: For a secure and consistent editing experience in Brightspace, creating any of the following question types automatically filters out JavaScript and non-standard HTML: Likert, Ordering, Matching, Fill in the Blanks, Short Answer, Multi-Short Answer, Arithmetic, and Significant Figures. Organize questions with sectionsYou can create sections in Question Library to organize your questions. To create a section
Figure: The create section screen in Question Library Short descriptions for questionsThe Short Description field is used to differentiate quiz questions in Question Library. The Short Description field is only accessible to instructors from Question Library. Learners cannot see this field when taking a quiz or using any kind of tool to see the raw HTML. Note: When editing or viewing an individual question, the Short Description field displays; however, when viewing all questions from Question Library, the Name column displays, with the Short Description for each quiz question appearing under the Name column. Create true or false questionsTrue or false (T/F) questions present a statement which respondents must determine is correct or incorrect. To create true or false questions
Create multiple choice questionsMultiple choice (M/C) questions present a statement or question with a list of possible answers, in which learners must choose the best possible answer. Multiple choice questions differ from multi-select questions in that learners select one answer for each multiple choice question. If you create a multiple choice question that has more than one possible solution, you can weight the answer according to the correctness of each possible answer. For example, if two answer choices out of five options are accepted as correct, both can be weighted 100% and the other three options can be weighted at 0%. If all five answer choices are accepted as correct but some are more correct than others, each can be weighted in ascending order with the most correct answers weighted more than the least correct answers. To create multiple choice questions
Create multi-select questionsMulti-select (M-S) questions require respondents to identify one or more correct answers in a list of possible answers. Unlike multiple choice (MC) questions, multi-select questions enable you to choose a grading method and allow users to select more than one answer. To create a multi-select question
Understanding grading methods for multi-select questions For determining how points are assigned to blanks, the following grading methods are available in the classic and new multi-select question experience:
Create written response questionsWritten response (WR) questions require respondents to write detailed answers in response to open-ended questions. You can enable users to respond in multiple sentences, paragraph answers, or mathematical explanations and calculations, and attach files and images to support their answers. Users can also respond in HTML code. Note: HTML code is sometimes stripped from saved written responses if a learner refreshes the page while taking the quiz. As a best practice, encourage users to save a version of their HTML response locally in case they need to refresh the page. Written response questions are not auto-graded. Quiz attempts that have a combination of auto-graded and written response questions display the status Pending Evaluation on the User and Attempts pages in Quizzes to easily identify attempts that require manual grading by instructors. To create written response questions
Create short answer questionsShort answer (SA) questions require respondents to create one word or brief sentence answers in response to open-ended questions. To create short answer questions
Note: As a best practice, D2L recommends that the weight of each possible solution equals 100% if you require only one answer. If your question requires multiple answers, and each answer has several possible solutions, we recommend that the combined weight of each answer's most correct solution be equal to 100%. Create multi-short answer questionsMulti-short answer (MSA) questions require respondents to answer a multi-solution question and input their answers into individual input boxes. Respondent's answers are checked against each possible answer stored in the answer fields. D2L recommends that the required number of answers corresponds with the number of input boxes provided. An MSA question's maximum point value is reflected by a 100% weight. As a best practice, D2L recommends that each possible answer's weight calculation equals 100% divided by the number of answers required by the question. Multi-short answer questions differ from short answer (SA) questions in that the multi-short answer question enables you to create multiple answer boxes which all relate to one answer set; short answer questions also support multiple answer boxes, but each requires a distinct set of possible answers. The short answer question type is ideal if you need to create a multi-part question that cannot share the same answer pool. For example, the question "Name 3 state capitals" displays three input boxes to users. Each answer users submit is checked against 51 possible correct answers stored in the answer fields and each answer field has a weight of 33.3%. To create multi-short answer questions
Create fill in the blanks questionsFill in the blanks (FIB) questions require respondents to fill in one or more missing words for an incomplete sentence, statement, phrase, list, or key terminology. As a best practice, D2L recommends that answers in blank fields be no more than one or two words to ensure auto-grading accuracy. Your listed order of blank and text fields corresponds with the sequence displayed to users. An FIB question's maximum point value is reflected by a 100% weight. As a best practice, the combined weight of your answers should equal 100%. If your FIB question has multiple blank fields and each blank field has several possible answers, D2L recommends the combined weight of each blank field's most correct answer equals 100%. To create fill in the blanks questions
Understanding grading options for short answer, multi-short answer, and fill in the blanks questions There are three possible grading options for short answer, multi-short answer, and fill in the blanks questions:
Create matching questionsMatching (MAT) questions require respondents to choose from a set of possible match choices from drop-down lists and correctly pair them with related items. This question type enables you to assess users' recognition of information and demonstrate comprehension of specific relationships. To create matching questions
Create ordering questionsOrdering (ORD) questions require respondents to arrange a series of items into a correct sequence or order. To create ordering questions
Understanding grading options for matching and ordering questions There are three possible grading options for matching and ordering questions:
Create arithmetic questionsArithmetic questions enable you to assess users' knowledge and comprehension of mathematics and number theory. You can ensure each respondent receives a unique question by including variables enclosed with curly braces that randomly generate numbers within the problem. For example, if you set variables x, y, and z with a Min 1 to Max 5 number range in 1-step increments, the question “You have {x} green marbles, {y} red marbles, and {z} blue marbles. How many marbles do you have in total?” will randomly generate a rational number (1, 2, 3, 4, 5) for {x}, {y}, and {z}. In arithmetic questions, use answer precision to limit the number of acceptable decimal places allowed in a response. You can require that correct answers contain a specific number of decimal places. To create arithmetic questions
Create significant figures questionsSignificant figures questions require respondents to answer in scientific notation and provide solutions that contain a specified number of significant figures. Math and science courses commonly use this question type. You can ensure each respondent receives a unique question by including variables enclosed with curly braces that randomly generate scientific notations within the problem. To create significant figures question
Understanding arithmetic and significant figures question components In arithmetic questions, use answer precision to limit the number of acceptable decimal places allowed in a response. You can require that correct answers contain a specific number of decimal places. In significant figure questions, you can select a percentage of the answer's score to deduct for including incorrect significant figures in a response. Use tolerance levels to accept near-accurate, estimated, or rounded answers. Types of supported enumerations in the Formula field The Formula field supports the following operations, functions, and constants:
Understanding Brightspace rounding rules When rounding, Brightspace automatically applies the Round to Half Even rounding rule when assessing answers that contain decimal places that end with "5". Currently, there are no options to change rounding rules. Applying the Round to Half Even rule, answers with decimal places that end with "5" will round down instead of round up. Example One: 3.41 * 25 = 85.25 If you create an arithmetic question and set the Answer Precision to 1, the correct answer using Round to Half Even is 85.2. Example Two: -3.41* 25 = -85.25 If you create an arithmetic question and set the Answer Precision to 1, the correct answer using Round to Half Even is -85.2. You can enter a unit type (mm, cm, grams, inches, etc.) to assess if answers include correct units of measurement. For significant figures questions, you can select a percentage to assign a weighted points value to the measurement unit. If you use units in your question, you can set the following Evaluation options:
Create Likert questionsCreate Likert (LIK) questions to measure subjective information such as personal opinions, knowledge, abilities, and attitudes. Likert questions enable you to create surveys that evaluate the intensity of respondents' feelings towards statements presented to them. There are seven measurement scales available to Likert questions: One to Five (1 to 5), One to Eight (1 to 8), Agreement Scale (Disagree–Agree), Satisfaction Scale (Dissatisfied–Satisfied), Frequency Scale (Never–Always), Importance Scale (Unimportant–Important), and Opposition Scale (Oppose–Support). You can only access Likert questions through the Surveys tool and Question Library. Similar to self assessments, all question types you import into surveys automatically omit point value and difficulty level indicators. To create likert questions
Understanding regular expressions Regular expressions give users grading certain question types the ability to evaluate responses against a set of acceptable values. A regular expression uses alpha-numeric and meta-characters to create a pattern that describes one or more strings that must be identically matched within a body of text. You can use regular expressions in short answer, multi-short answer, arithmetic, significant figures, and fill in the blanks questions. For example, the fill in the blank question "What word describes red, blue, green, yellow, pink, etc." can use regular expressions for the answer "colou?r*" Characters used in regular expressions
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