Leveraging Generative AI for Grading and Assessment

Description

Short Course: Leveraging Generative AI for Grading and Assessment

Course Overview

This short course is designed to help educators understand and implement generative AI tools to automate and enhance grading and assessment processes. Participants will learn how to use AI to create assessments, provide personalized feedback, and streamline grading systems, while maintaining fairness and objectivity.

It equips educators with the tools and knowledge to use generative AI for automating grading and assessments, while maintaining accuracy, fairness, and educational integrity.

Course Duration:

3 Days (12 hours total)

Target Audience:

Educators, academic professionals, and assessment designers interested in AI-assisted grading and assessment.

Day 1: Introduction to AI in Grading and Assessment

Session 1: AI in Education: The Basics (2 hours)

• Topics:
  • Introduction to AI and its applications in education.
  • Benefits of using AI for grading and assessment.
  • Types of assessments AI can handle (objective vs subjective assessments).
• Practical Exercise:
  • Reviewing examples of AI-powered assessment tools (e.g., Gradescope, Inspera).

Session 2: Generative AI for Assessment Creation (2 hours)

• Topics:
  • How generative AI can assist in creating multiple-choice, short-answer, and essay questions.
  • Automating the generation of differentiated assessments for diverse learners.
  • Best practices for aligning AI-generated assessments with learning objectives.
• Practical Exercise:
  • Using AI tools (e.g., ChatGPT) to create assessments and test questions.

Day 2: Automating Grading with AI Tools

Session 3: AI for Objective Assessment Grading (2 hours)

• Topics:
  • How AI can automate grading for multiple-choice, true/false, and short-answer questions.
  • Setting up auto-grading tools in existing platforms (e.g., Google Classroom, Canvas).
  • Managing large-scale assessments with AI to reduce educator workload.
• Practical Exercise:
  • Automating grading for objective assessments using AI-based tools.

Session 4: AI for Subjective Assessment and Feedback Generation (2 hours)

• Topics:
  • Leveraging AI for grading essays and other written work.
  • Using AI to provide detailed, personalized feedback for students.
  • Ensuring objectivity and fairness in AI-generated feedback.
• Practical Exercise:
  • Using generative AI to evaluate student essays and generate feedback.

Day 3: Enhancing Assessment Quality and Addressing Challenges

Session 5: AI for Advanced Analytics and Performance Tracking (2 hours)

• Topics:
  • Analyzing student performance data through AI-driven insights.
  • Using AI for formative assessments to track student progress and adjust instruction.
  • Understanding AI-generated analytics to improve future assessments.
• Practical Exercise:
  • Setting up an AI-based analytics dashboard for tracking student performance.

Session 6: Ethical and Practical Considerations in AI-Assisted Grading (2 hours)

• Topics:
  • Ethical issues in AI grading (bias, transparency, and fairness).
  • Challenges in automating subjective grading and mitigating risks.
  • The future of AI-assisted grading and its role in the education landscape.
• Group Discussion:
  • Sharing strategies for effectively implementing AI in grading without compromising teaching quality.

Assessment and Certification:

• Final project: Develop and implement an AI-powered grading and assessment strategy for one of your courses, including both objective and subjective elements.
• Participants will receive a certificate upon completion of the course and final project.