GenAI for Effective Teaching and Student Learning
GenAI Workshop Outline
Part 1. Introduction to Generative AI in Education
Understand attitudes, concepts, applications, and ethical considerations of GenAI in education.
Part 2. AI Utilization for Teaching & Academic Integrity
Utilize AI tools effectively in teaching practice to ensure instructional efficiency, academic integrity, and effective AI-driven assessments.
Part 3. Guiding Students’ Use of GenAI
Practice guiding students in effectively using AI tools, ensuring they produce authentic work while avoiding misuse and overreliance on GenAI.
Introduction to Generative AI in Education
GenAI Concepts
- Foundational models, large language models (LLMs), generative pre-trained transformers
GenAI in Education
- AI-Driven tutoring platforms, learning tool, teaching assistants, AI-Powered writing assistants, content generation tools
Ethical Implications of AI Use
- Privacy and data security
- Bias and fairness
- Misinformation & disinformation
- Black box AI
- Intellectual property
- Long-term societal impacts
Prompt Engineering
- Approaches, examples, tools demonstration
AI Utilization for Teaching & Academic Integrity
Teaching Use
- Assessments, accessibility, administrative tasks
AI & Academic Integrity
- Detection of AI-generated content, guidelines for acceptable use, integrations of human-centered skills and rubrics to ensure authenticity and originality.
Promoting Critical Thinking
- Educational attainment frameworks, integrating GenAI with lesson and course objectives in mind
Guiding Students’ Use of GenAI
Student Use
- Papers/presentations, multimedia assignments, reading comprehension, research, studying
Writing with AI
- Guiding authentic writing
- Combatting misuse or over-reliance
Other strategies for AI-proofing and alternative assessment
Resources