SmartAssess AI - Jomo Resource Center

About Course

Assess smarter, give better feedback and turn learner performance into meaningful insights with AI.

SmartAssess AI Workshop is a practical programme that equips teachers, lecturers, trainers and learning professionals to use Artificial Intelligence to design assessments, develop questions, create marking guides, support feedback and analyse learner performance.

Learn to use AI to make assessment faster, more effective and more insightful—while keeping professional judgement, fairness and human oversight at the centre.

Assess Smarter. Feedback Better. Improve Learning.

Use AI to design quizzes, tests, assignments and practical assessments
Generate better multiple-choice, short-answer, essay and scenario-based questions
Align assessment tasks with learning objectives and expected outcomes
Develop marking guides, rubrics and scoring criteria
Use AI to support faster, clearer and more constructive learner feedback
Analyse assessment results to identify performance patterns and learning gaps
Use assessment insights to improve teaching, training and learner support
Write effective prompts for assessment-related tasks
Identify AI errors, bias and risks in assessment
Build a practical AI-Assisted Assessment System

Course Content

MODULE 1: AI & THE FUTURE OF STUDENT ASSESSMENT
Participants understand the role of AI within the assessment process and can distinguish between appropriate assistance and inappropriate automation.

Lesson 1: Understanding AI-Assisted Assessment
Lesson 2: What AI Can and Cannot Do in Assessment
Lesson 3: Human-in-the-Loop Assessment
Lesson 4: AI, Assessment Quality and Consistency
Lesson 5: Common Mistakes in AI-Assisted Assessment
Lesson 6: Introducing the S.A.F.E. Assessment Framework
MODULE PROJECT
MODULE 1 QUIZ

MODULE 2: AI-ASSISTED ASSESSMENT DESIGN
Each participant develops a complete: AI-Assisted Assessment Pack containing questions, learning objectives, marking criteria and rubric.

Lesson 1: Writing Better Assessment Questions with AI
Lesson 2: Aligning Questions with Learning Outcomes
Lesson 3: Bloom’s Taxonomy and AI-Assisted Question Design
Lesson 4: Developing Marking Schemes and Rubrics
Lesson 5: Designing Open-Ended and Essay Assessments
Lesson 6: Designing Open-Ended, Essay and Theory Assessments
Lesson 7: Reviewing and Improving AI-Generated Assessments
MODULE PROJECT
MODULE 2 QUIZ

Module 3: SMARTASSESS AI TOOLKIT & ASSESSMENT ASSISTANT
Each participant develops a Personal SmartAssess AI Assessment Assistant + Tool Deployment Map

Lesson 1: Understanding the SmartAssess AI Toolkit
Lesson 2: ClearScanner — From Handwritten Scripts to Digital Assessment
Lesson 3: Using ChatGPT as an AI Assessment Assistant
Lesson 4: Using Claude for Long-Form Assessment and Second-Level Review
Lesson 5: Using Brisk Teaching for Assessment and Feedback Workflows
Lesson 6: Using MagicSchool for Teacher-Centred Assessment Workflows
Lesson 7: Choosing the Right AI Tool for the Right Assessment Task
Lesson 8: Setting Up Your Personal SmartAssess AI Assessment Assistant
Lesson 9: Integrating Multiple Tools into One SmartAssess Workflow
MODULE PROJECT
MODULE 3 QUIZ

MODULE 4: AI-ASSISTED MARKING & EVALUATION
Core Workflow: Student Response → Rubric → Evidence → Evaluation → Proposed Score → Human Review

Lesson 1: Preparing Student Responses for AI-Assisted Evaluation
Lesson 2: Scanning, Digitising and Organising Student Scripts
Lesson 3: The Two-Verification Rule — Verifying the Script Before Verifying the Assessment
Lesson 4: Writing Effective Assessment Prompts
Lesson 5: Evaluating Essay and Theory Responses Against a Rubric
Lesson 6: Evaluating Assignments, Case Studies, Projects and Reports
Lesson 7: AI-Assisted Batch Assessment
Lesson 8: Cross-Checking AI Evaluations and Proposed Scores
Lesson 9: Human Moderation and Finalising Assessment Decisions
MODULE PROJECT
MODULE 4 QUIZ

Module 5: AI-POWERED FEEDBACK, STUDENT DIAGNOSIS & DIFFERENTIATED LEARNING
Each participant produces an example: SmartAssess Student Assessment Sheet + Individual Learning Intervention Plan

Lesson 1: From Scores to Learning Evidence
Lesson 2: Identifying Individual Student Strengths
Lesson 3: Diagnosing Learning Gaps, Errors and Misconceptions
Lesson 4: Writing Effective Personalised Feedback with AI
Lesson 5: Creating the SmartAssess Student Assessment Sheet
Lesson 6: Turning Assessment Results into Individual Learning Recommendations
Lesson 7: Using AI to Plan Differentiated Instruction
Lesson 8: Designing Remediation, Reinforcement and Enrichment Activities
Lesson 9: Monitoring Improvement Through Follow-Up Assessment
MODULE PROJECT
MODULE 5 QUIZ

Module 6: ASSESSMENT ANALYTICS, DIFFERENTIATION & MODERATION
Participants produce a: Class Assessment Insight Report showing strengths, weaknesses, common errors and recommended instructional responses.

Lesson 1: Turning Assessment Results into Learning Intelligence
Lesson 2: Analysing Class Performance with AI
Lesson 3: Identifying Common Errors and Misconceptions Across a Class
Lesson 4: Detecting Learning Gaps and Performance Patterns
Lesson 5: Identifying Assessment Outliers
Lesson 6: Grouping Learners for Differentiated Instruction
Lesson 7: AI-Assisted Assessment Moderation
Lesson 8: Creating Class Assessment Insight Reports
Lesson 9: Turning Assessment Analytics into Instructional Decisions
MODULE PROJECT
MODULE 6 QUIZ

MODULE 7: RESPONSIBLE AI IN EDUCATIONAL ASSESSMENT
Participants create a: Responsible AI Assessment Checklist + Institutional/Personal AI Assessment Policy

Lesson 1: Understanding AI Bias and Fairness in Assessment
Lesson 2: Protecting Student Data, Privacy and Confidentiality
Lesson 3: Responsible Handling of Digitised Student Scripts
Lesson 4: AI and Academic Integrity
Lesson 5: Transparency and Disclosure in AI-Assisted Assessment
Lesson 6: Human Review, Accountability and Final Academic Judgment
Lesson 7: Establishing Responsible AI Assessment Procedures
Lesson 8: Developing an Institutional AI Assessment Policy
Lesson 9: Building Your Responsible SmartAssess Practice
MODULE PROJECT
MODULE 7 QUIZ

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About Course

What Will You Learn?

Course Content

MODULE 1: AI & THE FUTURE OF STUDENT ASSESSMENT Participants understand the role of AI within the assessment process and can distinguish between appropriate assistance and inappropriate automation.

Lesson 1: Understanding AI-Assisted Assessment

Lesson 2: What AI Can and Cannot Do in Assessment

Lesson 3: Human-in-the-Loop Assessment

Lesson 4: AI, Assessment Quality and Consistency

Lesson 5: Common Mistakes in AI-Assisted Assessment

Lesson 6: Introducing the S.A.F.E. Assessment Framework

MODULE PROJECT

MODULE 1 QUIZ

MODULE 2: AI-ASSISTED ASSESSMENT DESIGN Each participant develops a complete: AI-Assisted Assessment Pack containing questions, learning objectives, marking criteria and rubric.

Lesson 1: Writing Better Assessment Questions with AI

Lesson 2: Aligning Questions with Learning Outcomes

Lesson 3: Bloom’s Taxonomy and AI-Assisted Question Design

Lesson 4: Developing Marking Schemes and Rubrics

Lesson 5: Designing Open-Ended and Essay Assessments

Lesson 6: Designing Open-Ended, Essay and Theory Assessments

Lesson 7: Reviewing and Improving AI-Generated Assessments

MODULE PROJECT

MODULE 2 QUIZ

Module 3: SMARTASSESS AI TOOLKIT & ASSESSMENT ASSISTANT Each participant develops a Personal SmartAssess AI Assessment Assistant + Tool Deployment Map

Lesson 1: Understanding the SmartAssess AI Toolkit

Lesson 2: ClearScanner — From Handwritten Scripts to Digital Assessment

Lesson 3: Using ChatGPT as an AI Assessment Assistant

Lesson 4: Using Claude for Long-Form Assessment and Second-Level Review

Lesson 5: Using Brisk Teaching for Assessment and Feedback Workflows

Lesson 6: Using MagicSchool for Teacher-Centred Assessment Workflows

Lesson 7: Choosing the Right AI Tool for the Right Assessment Task

Lesson 8: Setting Up Your Personal SmartAssess AI Assessment Assistant

Lesson 9: Integrating Multiple Tools into One SmartAssess Workflow

MODULE PROJECT

MODULE 3 QUIZ

MODULE 4: AI-ASSISTED MARKING & EVALUATION Core Workflow: Student Response → Rubric → Evidence → Evaluation → Proposed Score → Human Review

Lesson 1: Preparing Student Responses for AI-Assisted Evaluation

Lesson 2: Scanning, Digitising and Organising Student Scripts

Lesson 3: The Two-Verification Rule — Verifying the Script Before Verifying the Assessment

Lesson 4: Writing Effective Assessment Prompts

Lesson 5: Evaluating Essay and Theory Responses Against a Rubric

Lesson 6: Evaluating Assignments, Case Studies, Projects and Reports

Lesson 7: AI-Assisted Batch Assessment

Lesson 8: Cross-Checking AI Evaluations and Proposed Scores

Lesson 9: Human Moderation and Finalising Assessment Decisions

MODULE PROJECT

MODULE 4 QUIZ

Module 5: AI-POWERED FEEDBACK, STUDENT DIAGNOSIS & DIFFERENTIATED LEARNING Each participant produces an example: SmartAssess Student Assessment Sheet + Individual Learning Intervention Plan

Lesson 1: From Scores to Learning Evidence

Lesson 2: Identifying Individual Student Strengths

Lesson 3: Diagnosing Learning Gaps, Errors and Misconceptions

Lesson 4: Writing Effective Personalised Feedback with AI

Lesson 5: Creating the SmartAssess Student Assessment Sheet

Lesson 6: Turning Assessment Results into Individual Learning Recommendations

Lesson 7: Using AI to Plan Differentiated Instruction

Lesson 8: Designing Remediation, Reinforcement and Enrichment Activities

Lesson 9: Monitoring Improvement Through Follow-Up Assessment

MODULE PROJECT

MODULE 5 QUIZ

Module 6: ASSESSMENT ANALYTICS, DIFFERENTIATION & MODERATION Participants produce a: Class Assessment Insight Report showing strengths, weaknesses, common errors and recommended instructional responses.

Lesson 1: Turning Assessment Results into Learning Intelligence

Lesson 2: Analysing Class Performance with AI

Lesson 3: Identifying Common Errors and Misconceptions Across a Class

Lesson 4: Detecting Learning Gaps and Performance Patterns

Lesson 5: Identifying Assessment Outliers

Lesson 6: Grouping Learners for Differentiated Instruction

Lesson 7: AI-Assisted Assessment Moderation

Lesson 8: Creating Class Assessment Insight Reports

Lesson 9: Turning Assessment Analytics into Instructional Decisions

MODULE PROJECT

MODULE 6 QUIZ

MODULE 7: RESPONSIBLE AI IN EDUCATIONAL ASSESSMENT Participants create a: Responsible AI Assessment Checklist + Institutional/Personal AI Assessment Policy

Lesson 1: Understanding AI Bias and Fairness in Assessment

Lesson 2: Protecting Student Data, Privacy and Confidentiality

Lesson 3: Responsible Handling of Digitised Student Scripts

Lesson 4: AI and Academic Integrity

Lesson 5: Transparency and Disclosure in AI-Assisted Assessment

Lesson 6: Human Review, Accountability and Final Academic Judgment

Lesson 7: Establishing Responsible AI Assessment Procedures

Lesson 8: Developing an Institutional AI Assessment Policy

MODULE 1: AI & THE FUTURE OF STUDENT ASSESSMENT
Participants understand the role of AI within the assessment process and can distinguish between appropriate assistance and inappropriate automation.

MODULE 2: AI-ASSISTED ASSESSMENT DESIGN
Each participant develops a complete: AI-Assisted Assessment Pack containing questions, learning objectives, marking criteria and rubric.

Module 3: SMARTASSESS AI TOOLKIT & ASSESSMENT ASSISTANT
Each participant develops a Personal SmartAssess AI Assessment Assistant + Tool Deployment Map

MODULE 4: AI-ASSISTED MARKING & EVALUATION
Core Workflow: Student Response → Rubric → Evidence → Evaluation → Proposed Score → Human Review

Module 5: AI-POWERED FEEDBACK, STUDENT DIAGNOSIS & DIFFERENTIATED LEARNING
Each participant produces an example: SmartAssess Student Assessment Sheet + Individual Learning Intervention Plan

Module 6: ASSESSMENT ANALYTICS, DIFFERENTIATION & MODERATION
Participants produce a: Class Assessment Insight Report showing strengths, weaknesses, common errors and recommended instructional responses.

MODULE 7: RESPONSIBLE AI IN EDUCATIONAL ASSESSMENT
Participants create a: Responsible AI Assessment Checklist + Institutional/Personal AI Assessment Policy