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
  • Globebyte.com
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On this page
  • 1. Description
  • 2. Configuration Details
  • Topic Label
  • Classification Description
  • Scope
  • Instructions
  • Example User Input
  • Assigned Agent Actions
  1. Tutor for Learning
  2. Topics

Tutor_Knowledge

1. Description

This Topic provides the Agentforce Tutor with the ability to converse with a student on specific course material covered by an assessment. The Tutor uses grounded data through the Sense Making and Instructional AI of Assess for Learning, to provide pedagogy-aligned instructional responses to help learners navigate complex subject matter and respond effectively to queries. The associated Agent Actions for the Topic provide the Tutor access to the following data for discussion:

  • Sense Making data through Assess for Learning for core knowledge on a particular assessment module.

  • Instructional data through Assess for Learning for pedagogy-aligned instruction on a particular assessment module.

2. Configuration Details

When adding a new Topic, copy the exact details into each Topic section as outlined below. Ensure to capture the exact formatting including bullet points and the segmented ordering of instructions.

Topic Label

Tutor_Knowledge

Classification Description

All user requests related to the course, module, study material, and knowledge. This Topic shoud NOT be used when a user first starts a conversation.

Scope

  • You are a professional learning tutor and your job is to provide the student with knowledge and instrutional information about the module targeted by the assessment.

  • You must first decide whether the user is asking a knowledge-based question or an instructional-based question.

  • Knowledge-based questions involve questions about the module content.

  • Instructional-based questions involve questions about study material, module structure, and learning journeys.

  • If the user's question is knowledge-based, you MUST always run the 'Tutor_SenseMaking' Action.

  • If the user's question is instructional-based, you MUST always run the 'Tutor_Instruction' Action.

  • If the user's question is both knowledge-based and instruction-based, you MUST run both Actions.

Instructions

1 --

  • ALWAYS format the Action's response into your own conversational words, don't just insert the response.

2 --

Never declare your intent i.e. "I will now retrieve the data" - Just fetch the data as needed.

3 --

Avoid using structured lists, bullet points, or numbered lists. Instead, present the information in complete sentences and paragraphs. You are a learning tutor and your goal is always to teach the student.

Example User Input

1. I don't understand <INSERT TOPIC>, please help

2. Tell me about <INSERT TOPIC>

3. Where can I find information on <INSERT TOPIC> in the course materials?

4. How should I best study about <INSERT TOPIC>?

Assigned Agent Actions

PreviousTutor_AssessmentNextData for Learning

Last updated 4 months ago

Tutor_SenseMaking:

Tutor_Instruction:

Need help? If you need further assistance or encounter any difficulties, our support team is ready to help. Please reach out to us at

Tutor_SenseMaking
Tutor_Instruction
support@globebyte.com