AI RESOURCES FOR TEACHING 

This course on AI resources for teaching is designed for:

• Educators across K-12 and higher education who want to learn how to evaluate and integrate AI technologies into their teaching effectively.
• Teachers aiming to enhance student learning experiences and outcomes through responsible use of AI.
• Administrators and policymakers exploring how to equip teachers and students with AI competencies and direct AI adoption strategically.  
• Curriculum designers interested in updating programs to leverage AI while centering ethics and sound pedagogy.
• Edtech leaders driving product decisions and managing implementations of AI solutions for learning impact.

The course provides a balanced perspective on AI opportunities alongside considerations for responsible design and deployment. Through interactive modules, literacy is built around core AI capabilities and limitations that are relevant to teaching diverse learners equitably and empoweringly.

The course is intended for educators open to thoughtfully harnessing AI’s potential to augment human intelligence and creativity in the classroom. It aims to provide guidance on directing these technologies toward expanding human potential rather than diminishing it.

ABOUT THE COURSE

Module 1 INTRODUCTION TO AI AND ITS APPLICATIONS IN EDUCATION

This module provides an overview of what artificial intelligence (AI) is, the different types of AI, and how AI is being applied in education today. It discusses the potential benefits as well as risks and limitations that educators should consider when adopting AI technologies.

What you will learn:

• Definitions of artificial intelligence (AI) and key AI capabilities like machine learning and natural language processing
• Examples of current applications of AI in education such as intelligent tutoring systems, personalized learning platforms, and automated assessments
• Benefits AI can offer for enhancing teaching and learning 
• Risks and limitations to consider for the responsible use of AI in education

Module 2 BENEFITS OF USING AI RESPONSIBLY IN TEACHING

This module delves deeper into the key benefits that responsible use of AI can provide for improving teaching and learning. It covers personalized learning, automated assessment, intelligent learning analytics, administrative efficiencies, and democratizing access to high-quality education.

What you will learn:

• How AI tutors personalize instruction by modeling each student’s knowledge
• The role of automated essay scoring and adaptive assessments powered by AI 
• Using learning analytics and early warning systems to enable proactive interventions
• Administrative workflows that can be augmented by AI assistants
• Examples of how AI expands access to expert knowledge for all learners

Module 3 AI TOOLS AND RESOURCES FOR EDUCATORS

This module surveys different categories of AI technologies available to help educators enhance instruction. It covers intelligent tutoring systems, automated writing evaluation, virtual assistants, intelligent courseware, educational games, automated captioning, and AI discovery tools.

What you will learn: 

• Leading providers of AI tutor platforms and how they adapt instruction
• Applications of automated writing evaluation to provide instant formative feedback
• Conversational agents and virtual learning assistants that engage students using natural language dialogues
• Features of adaptive courseware powered by AI to offer personalized learning paths 
• Intelligent games that adjust gameplay and difficulty based on student learning needs
• Tools to automatically generate captions and transcripts for broader accessibility

Module 4 EFFECTIVE CURRICULUM DESIGN AND PEDAGOGY WITH AI

This module examines strategies for effectively integrating AI into curriculum design, instructional methods, and assessments while upholding educational best practices. It covers competency-based models, teaching roles, digital literacy, intelligent tutors, automated assessments, and learning analytics.

What you will learn:

• Transitioning to flexible, personalized learning pathways powered by AI
• Updated instructional roles for teachers as coaches, evaluators, facilitators, and counselors
• Developing AI literacy skills among students including evaluating algorithmic biases
• Best practices for adopting intelligent tutoring systems
• Importance of auditing AI grading tools for accuracy and fairness  
• Guiding principles for using learning analytics to improve teaching

Module 5 ETHICAL, SOCIAL, AND CULTURAL IMPACTS OF EDUCATIONAL AI

This final module analyzes the broader societal impacts of adopting AI technologies in education. It reviews issues around ethics, cultural biases, privacy risks, discrimination, human judgment, and AI competencies for students.

What you will learn:

• Ethical foundations like transparency, fairness, and human values to guide AI adoption
• Cultural perspectives and assumptions embedded in AI education systems
• Strategies to promote more equitable access to AI benefits  
• Privacy protections needed when using student data with AI
• Techniques to combat algorithmic bias and excessive student tracking
• Maintaining human discretion and oversight in AI-augmented education
• Competencies needed by students to responsibly navigate an AI future