Leveraging Generative AI for AI-Based Tutoring Systems

Description

Short Course: Leveraging Generative AI for AI-Based Tutoring Systems

Course Overview

This short course is designed to equip educators with practical knowledge and skills to integrate generative AI tools into AI-based tutoring systems. Educators will learn how to effectively use AI for personalized learning, student engagement, and assessment. The course will focus on the use of generative AI to create adaptive learning experiences and automate support for students.

This short course can be customized based on the specific needs of the educators and the technologies available in their institutions.

Course Duration:

3 Days (12 hours total)

Target Audience:

Educators and academic professionals interested in incorporating AI into their teaching practices.

Day 1: Introduction to Generative AI and AI-based Tutoring Systems

Session 1: Understanding AI in Education (2 hours)

• Topics:
  • What is Artificial Intelligence and Generative AI?
  • Overview of AI-based tutoring systems and their potential in education.
  • Benefits of using AI for personalized learning.
  • Examples of current AI-powered tutoring systems (e.g., ALEKS, Squirrel AI).
• Practical Exercise:
  • Exploring various AI tutoring tools.

Session 2: Role of Generative AI in Tutoring Systems (2 hours)

• Topics:
  • How generative AI works (Language models, NLP, etc.).
  • Leveraging generative AI for personalized feedback and student queries.
  • Automating content creation and lesson planning.
• Practical Exercise:
  • Hands-on demonstration using ChatGPT and similar tools to generate course materials, quizzes, and assignments.

Day 2: Designing AI-powered Tutoring Interactions

Session 3: Building Adaptive Learning Systems with AI (2 hours)

• Topics:
  • Understanding student behavior through AI.
  • Using AI to identify learning gaps and provide tailored content.
  • Automating assessment and feedback for continuous student improvement.
• Practical Exercise:
  • Designing personalized learning paths using AI-based tutoring platforms.

Session 4: Using AI to Automate Student Support (2 hours)

• Topics:
  • How generative AI can be used for real-time tutoring and query resolution.
  • Integrating AI tools for student assistance, support, and counseling.
  • Ensuring ethical use of AI in student interactions.
• Practical Exercise:
  • Creating an AI-based virtual assistant for student support.

Day 3: Advanced Techniques and Future Trends

Session 5: Generative AI for Content and Assessment Creation (2 hours)

• Topics:
  • Automating the creation of quizzes, exercises, and assessments with AI.
  • How to align AI-generated content with learning outcomes and curriculum goals.
  • Integrating multimodal AI systems for richer content (e.g., text-to-image, video tools).
• Practical Exercise:
  • Designing AI-generated quizzes and exams for different subjects.

Session 6: Ethics, Challenges, and Future of AI in Education (2 hours)

• Topics:
  • Ethical considerations of using AI in education.
  • Potential challenges: Data privacy, bias, over-reliance on AI.
  • Future trends in AI tutoring systems (e.g., advanced multimodal systems, extended reality).
• Group Discussion:
  • Best practices and challenges in implementing AI in educational environments.

Assessment and Certification:

• Final project: Develop an AI-based tutoring plan or prototype using generative AI tools, aligning with their own teaching context.
• Upon successful completion, participants will receive a certificate of proficiency in AI-based tutoring systems.