Page Comparison

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In the present system, Question Set is processed as followsconsist of following entities:

Entities

Assessment User : Active seeker of Assessment in the platform. Any Collection in Sunbird Ecosystem needs to be trackable in order to track the progress of the user. User’s state with the content is updated using Content State Update API. All of the Information on Content State Read API is retrieved against a Collection & User.

QuML Player : QuML Player has capability to play the questions in QuML format. It also has capability to locally validate the user input. Response Validation,Score Computing is completely handled in player. Once User Submits the overall response, client validated scores and response are updated using Content State Update API.

Flink Jobs : Flink Jobs aggregates the content state using Collection Activity Aggregator, Collection Assessment Aggregator, Cert Pre-processor, Cert Generator jobs.

Question Objective Types:

a) MCQ (Multiple Choice Questions)

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d) FTB (Fill in The Blanks)

Excluded Subjective Types

a) VSA - (Very Short Answer)

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Current Workflow

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Design PreRequisites :

• Allow the response processing of question to be done on server rather than client as happening today.

• Scalable Response Processing Solution for Question Sets.

• Score Calculation Based on Content State Update.

• Solution to the question needs to be masqueraded or excluded from the Question Read API/ Question List API.

• Response Processing can happen in two ways:

  • Entire Question Set Response Processing

  • Question by Question Response Processing

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QuestionSet Hierarchy API : A new attribute in QuestionSet to be introduced to have evaluated response declarationon server. (“evaluable“)

"questionSet": {
  "timeLimits": "{\"maxTime\":\"3600\"}",
  "questionSetDigest": "", //#Question Set Digest to be generated at hierarchy read API with combination of "Question Set ID + userID"
  "evaluable": true //#true for Server Side Valuation Default:#false for client side validation
}

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