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AI Marking Assistant Training Workshop

Workshop/ Training/ Webinar

Workshop for Staff

Summary

Date: 23 Oct 2026 (Fri)

Time: 10:30 – 12:00

Venue: Onsite (TBC)

Target Audience: Instructors

Medium of Instruction: English

 

 

Summary: 
This workshop introduces instructors to the AI Marking Assistant (AIMA), a tool developed by ITS that leverages Generative AI to assist with assignment pre-grading and the generation of constructive feedback. The workshop combines hands-on training, pedagogical guidance from IHERD, and practical experience sharing from teacher(s) who have used AIMA in their courses. 

  

Objective: 
This workshop aims to help instructors use AIMA effectively to support assignment pre-grading and deliver constructive, personalized feedback to students. Through technical demonstrations, pedagogical guidance, and peer sharing, participants will learn how to integrate AIMA into their grading workflow efficiently while maintaining professional judgment and academic standards.

 

What You Will Learn:

  • Key features and benefits of AIMA 
  • Pedagogical considerations for AI-assisted marking and feedback 
  • How to generate, review, and refine AI-generated grades and feedback 
  • How to sync grades and feedback with the Canvas Gradebook 
  • Practical tips and lessons learned from teacher's use of AIMA 
  • New AIMA features, including the AI Grading Enhancer and Marker Allocation 

 

Agenda:

1. Introduction and Overview

  • Introduction to AIMA and its purpose 
  • Overview of key features and the standard AIMA workflow 
  • How AIMA assists teachers in preparing grades and feedback 

 

2. Pedagogical Considerations for AI-Assisted Marking

  • Student-Centred Feedback 
  • Teacher Agency and Professional Judgement 
  •  Ethical and Assessment Integrity 

 

3. Live Demonstration: Using AIMA

  • Step-by-step walkthrough of setting up grading profiles 
  • Generating grades and feedback 
  • Reviewing, editing, and approving AI-generated results 
  • Syncing grades and feedback directly to the Canvas Gradebook 
     

4. New AIMA Features

  • AI Grading Enhancer 
  • Marker Allocation 
  • Use cases and key benefits 

 

5. Teacher Sharing: Using AIMA in Practice

  • Experience using AIMA in an actual course 
  • Tips for designing effective rubrics and marking schemes 
  • How AIMA supported the marking and feedback workflow 
  • Challenges encountered and lessons learned, and best practices 

 

6. Q&A and Discussion  

 



 

 
 

 

 

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