3 Graduate Credits
Southern New Hampshire
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This course is designed to provide an overview of the use of artificial intelligence (AI) in education, exploring the benefits and challenges that AI presents for teachers and students. The course is divided into eight modules, with each module focusing on a particular aspect of AI in education.
Module 1: Introduction to AI in Education This module will provide an overview of AI and machine learning and will introduce the latest developments in AI. The purpose and content of the course will be discussed, and students will be given an assignment to test their knowledge about machine learning.
Module 2: Impact of AI on Education This module will explore the benefits of using AI in education and examine how AI is currently being used in education. The future of education and the workforce with AI will also be discussed, and students will be given an assignment to reflect on the future of education.
Module 3: Curriculum Design with AI This module will examine how AI can be used in curriculum development and how it can be used to support teaching and individualized learning. Students will be given an assignment to use AI to create a lesson plan, worksheet, and assessment on a topic they teach about.
Module 4: Improving Teacher Workflow with AI This module will focus on how AI can be used to automate administrative tasks, grading and feedback, and AI-assisted assessment. Students will be given an assignment to write a letter to a parent, a recommendation letter, and a rubric.
Module 5: Innovative Assignments with AI-Proof Design This module will explore innovative ways of using AI in open-ended assignments that promote higher-order thinking skills, such as case studies, simulations, and video/podcast projects. Students will be given an assignment to develop a classroom assignment using AI.
Module 6: Ethical Considerations of AI This module will examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias. Students will be given an assignment to debate with ChatGPT on the achievement gap because of AI.
Module 7: Academic Integrity with AI This module will focus on potential impacts of AI on plagiarism and cheating and explore honor codes and policies. Students will be given an assignment to test ChatGPT to put out a plagiarism-proof writing piece using GPTZero.
Module 8: Conclusion The course will conclude with a review of the key takeaways and provide additional modules for continuing professional development.
By the end of this course, students will have a solid understanding of how AI can be used in education and will be equipped with the knowledge and skills to implement AI in their classrooms ethically and effectively.
By the end of the course, students will be able to:
- Define and explain the basic concepts of AI and machine learning and analyze the impact of AI on education.
- Evaluate the use of AI in curriculum design, teaching, and learning, and design lesson plans and classroom assignments using AI tools.
- Analyze and evaluate the ways in which AI can streamline administrative tasks and improve grading and feedback.
- Critique and evaluate the ethical considerations of using AI in education and develop strategies to address issues of academic integrity and potential bias in AI systems.
- Analyze and reflect on the potential of AI to transform education and its ethical and social implications, and develop a plan for ongoing professional development to expand and deepen knowledge and skills related to the use of AI in education.
Course Credit: This course is accredited by Southern New Hampshire University as a 3-credit graduate-level course. Registering for course credit is optional, and all students will receive a certificate certifying the hours spent (30 hours) for use towards CEU or PD credit.
Asynchronous: The course can be completed at your own pace with a recommended pace of 1 module/week. All course content and assignments can be completed at any time.
Office Hours: Instructors will hold regular office hours throughout the course term for live opportunities to go over questions, brainstorm ideas, and discuss the future of education.
Discussion Forum: All students will have access to an exclusive discussion forum where they can discuss course materials, share lesson plans, and engage with other students taking the course.
The course assignments are designed to help educators develop the knowledge, skills, and strategies needed to integrate AI into their teaching practice effectively. Throughout the course, teachers will complete a variety of assignments, including creating lesson plans, assignments, and assessments that use AI tools and techniques. They will also analyze the ethical and social implications of using AI in education, reflect on the potential of AI to transform education, and evaluate the effectiveness of AI in streamlining administrative tasks, grading, and feedback. In the final capstone project, teachers will annotate a syllabus with how they would integrate AI in their class and reflect on how they will use it to streamline their teaching practice, including assessment, curriculum development, and workflow. This final project will allow teachers to apply their learning and demonstrate their ability to effectively use AI in their teaching practice, as well as demonstrate their understanding of the ethical and social implications of using AI in education.
Priten H Shah, M. ED and B.A, Harvard, is the CEO of Pedagogy.Cloud, an education consulting company providing educational organizations with a full-suite of services including innovative technology solutions. He is also the author of the upcoming Wiley’s Jossey-Bass publication, “AI & The Future of Education: Teaching in the Age of Artificial Intelligence.“
Pedagogy.Cloud has worked with over 200 different educational organizations to adapt and innovate during major world events including the Covid-19 Pandemic. He and his team are currently focused on helping educational organizations adapt to the ever growing capabilities of AI, focusing on OpenAI integrations.
Through PC, Priten serves as CTO/CFO for Thinker Analytix, a Harvard partnered nonprofit that is leading the effort to create research-based tools for educators to teach reasoning skills.
Priten is also the founder of United 4 Social Change, a civics education nonprofit that focuses on helping teachers integrate interdisciplinary education into their curricula through animated videos, lesson plans, and innovative classroom activities.
(Director Of Growth, Pedagogy.Cloud)
Nina has an MA in International Educational Development from Teachers College at Columbia University and has worked for many years in education and nonprofit program management.
Nina has worked with students of all ages teaching English, history, human rights, and current events. She also works in adult education as a citizenship educator and as an associate for a graduate-level course on conflict management.
For the past 3 years, Nina has served as the Director of Programs at United 4 Social Change where she worked on curriculum development, teacher professional development, and student workshops. She joins Pedagogy.Cloud in 2023 to help expand their work with educational AI tools and teacher engagement.