Globebyte Documentation
  • AI Agents for Learning
  • Assess for Learning
    • Creating the Assess Connected App
    • Setting up Assess for Learning
    • Viewing Assessments
    • Assessment Outcomes & Validation
    • Marking
    • Best Practices
  • Tutor for Learning
    • Setting up Tutor
    • Agent Actions
      • Tutor_Mark
      • Tutor_Task
      • Tutor_Criterion
      • Tutor_SenseMaking
      • Tutor_Instruction
    • Topics
      • Tutor_Assessment
      • Tutor_Knowledge
  • Data for Learning
  • Actions for Learning
    • Creating the xAPI Actions Connected App
    • Setting up xAPI Actions
    • Creating your first xAPI Action Flow
    • xAPI Statement Data explorer
      • Metadata
      • xapiActor
      • xapiVerb
        • Verb reference
      • xapiObject
      • authority
      • xapiResult
      • xapiContext
    • Filtering xAPI Statements
    • Viewing xAPI Statements
    • Viewing xAPI Usage
    • Setting a default statement language
    • Error messages and troubleshooting
  • Experience for Learning
    • Setting up xAPI for Salesforce
    • Send xAPI from a Flow
    • Form Action fields
    • Send xAPI from Apex
    • xApiStatement Class reference
      • Actor
      • Verb
      • Object
      • Context
      • Result
      • Authority
      • Version
      • Send methods
    • Logging and defaults
  • Learning Journey Model
    • Introduction
    • Curriculums & Pathways
    • Courses & Modules
    • Pedagogies & Objectives
    • Rubrics & Criteria
    • Learning Resources
    • Assessments & Tasks
    • Learning Groups
    • Step-by-step working example
    • Activity Tracking (Advanced)
    • Additional Pedagogies Reference
    • Best Practices
    • Assess for Learning Integration
    • Data for Learning Integration
    • Object References
      • Learning Curriculum
      • Learning Pathway
      • Learning Course
      • Learning Module
      • Learning Pedagogy
      • Learning Objective
      • Learning Objective Assignment
      • Learning Rubric
      • Learning Rubric Criterion
      • Learning Rubric Model Solution
      • Learning Resource Type
      • Learning Resource
      • Learning Assessment
      • Learning Text Task
      • Learner Text Attempt
      • Learner Text Criterion Score
      • Learning Choice Task
      • Learner Choice Attempt
      • Learner Mark
      • Learning Group
      • Learner Group Membership
      • Learner Activity
      • Learner Activity Instance
      • Learner XAPIStatement
      • Developer Cheat Sheet: Key LDM Objects
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  • Learner Mark
  • Introduction
  • Properties
  • Example
  • Use Case
  1. Learning Journey Model
  2. Object References

Learner Mark

Learner Mark

Introduction

A Learner Mark represents the final, consolidated outcome for a specific learner on a specific assessment. While tasks capture granular responses, the “Mark” is the overarching result (e.g., 85% or “Passed”). AI can directly finalize the mark, or instructors can manually approve or edit it.

Key highlights:

  • Single Score: Summarizes all tasks (choice, text, rubric criteria) into one result.

  • Status: “Pending” or “Marked,” clarifying if it’s final or awaiting approval.

  • Optional Rationale: Provide high-level feedback or instructions for improvement.

Properties

Property Name
Description

LearningAssessmentId

Identifies which assessment this final mark is for (e.g., “Midterm Exam in Course 101”).

ContactId

The learner’s ID, tying the final score to the correct person.

MarkerContactId

(Optional) If a human instructor or reviewer approves or overrides the AI-generated mark, you can record their ID here.

Status

“Pending” if not yet approved, “Marked” if finalized. This clarifies whether the learner can see the official grade.

Mark

A numeric representation of the final grade, like 88 or 73. May be the sum or weighted combination of all tasks or criteria.

MarkDate

When the final mark was confirmed or posted.

MarkReason

A high-level rationale behind the final result, e.g., “Sum of all tasks, plus extra credit” or “AI auto-approval.”

MarkInstruction

Overall instructions or suggestions for the entire assessment, such as “Review chapters 3-4 for a better understanding.”

MarkPersonalInstruction

Personalized feedback for the learner, e.g., “Your consistent effort shows; work on refining your data analysis next time.”

MarkInstructionPlus1

Extra guidance for further mastery or advanced challenges.

MarkPersonalInstructionPlus1

Additional personalized direction if the learner wants to excel further.

ECLearnerProgramRequirementId

(Optional) If integrating with Education Cloud, link to a relevant program requirement for broader tracking.

CreatedDate

System-managed date/time indicating when this record was first created.

ModifiedDate

Updated automatically if the final mark or related fields change.

Example

After grading a “Business Analytics Final,” the system aggregates each learner’s tasks. For user #45, the AI calculates an 82% overall. The instructor quickly reviews borderline questions, agrees, and sets Status to “Marked” with MarkReason = “All tasks correct except the last two.” MarkDate is recorded, and the learner sees their final 82%.

Use Case

A large training program uses AI to auto-mark. In most cases, the system sets Status to “Marked” automatically. However, if someone fails by a small margin, the instructor might review the tasks more closely, add a justification in MarkReason, and manually update Status to “Marked.” The record keeps everything in one place for easy auditing.

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Last updated 4 months ago