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Jeanne Beatrix Law
This course expands on the AI for Education (Basic) course. Participants will learn quick ways to refine prompt engineering methods for assignments and course design that can be scaled to multiple levels of educational contexts. This course further provides straightforward and practical definitions, scenarios, and prompt engineering methods with real-time demonstrations in diverse educational learning environments.
Read more
This course expands on the AI for Education (Basic) course. Participants will learn quick ways to refine prompt engineering methods for assignments and course design that can be scaled to multiple levels of educational contexts. This course further provides straightforward and practical definitions, scenarios, and prompt engineering methods with real-time demonstrations in diverse educational learning environments.
Read more
This course expands on the AI for Education (Basic) course. Participants will learn quick ways to refine prompt engineering methods for assignments and course design that can be scaled to multiple levels of educational contexts. This course further provides straightforward and practical definitions, scenarios, and prompt engineering methods with real-time demonstrations in diverse educational learning environments.
Participants will be provided tested methods for prompting an AI Assistant, such as GPT to yield useful, relevant, accurate, and ethical outputs. Learners will gain a clear understanding of how to collaborate with an AI Assistant and how to encourage students to do so in ethical ways. Knowing how to describe and collaborate with AI Assistants effectively and rhetorically is a vital skillset to successfully engage with students in all types of learning environments, from secondary to college levels.
This course is a beginning step in learning these skills.
Register for this course and see more details by visiting:
OpenCourser.com/course/0m7uka/ai
What's inside
Syllabus
Course Introduction
AI for Education - Intermediate
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds on knowledge of AI for Education and teaches methods for advanced prompt engineering in education
Learners tell the course how to engage students in ethical use of AI Assistant tools
Explores ethical collaboration between humans and AI Assistants in education
Provides practical and straight-forward resources for immediate use
Teaches diverse applications of prompt engineering across different learning environments
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Save AI for Education (Intermediate) to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in AI for Education (Intermediate) with these
activities:
Review AI Concepts
Show steps
Review fundamental AI concepts to strengthen your understanding before starting the course.
Browse courses on
AI Concepts
Show steps
-
Read introductory articles or textbooks on AI concepts.
-
Watch online videos or tutorials on basic AI algorithms.
-
Complete practice exercises or quizzes to test your comprehension.
Explore GPT-3 Tutorials
Show steps
Follow guided tutorials to enhance your understanding of GPT-3's capabilities and applications.
Browse courses on
GPT-3
Show steps
-
Identify reputable online platforms or resources offering GPT-3 tutorials.
-
Choose tutorials that align with your learning objectives.
-
Follow the instructions and complete the exercises provided in the tutorials.
-
Experiment with the GPT-3 API or playground to apply your learnings.
Practice Prompt Engineering Exercises
Show steps
Engage in repetitive prompt engineering exercises to refine your skills and improve your ability to collaborate with AI assistants.
Browse courses on
Prompt Engineering
Show steps
-
Find online resources or platforms that offer prompt engineering exercises.
-
Select exercises that focus on specific tasks or domains relevant to your course.
-
Practice writing prompts that yield accurate, relevant, and useful outputs.
-
Review your results and identify areas for improvement.
One other activity
Expand to see all activities and additional details
Show all four activities
Design an AI-Powered Learning Activity
Show steps
Create an original AI-powered learning activity to demonstrate your understanding of AI's potential in educational settings.
Browse courses on
AI in Education
Show steps
-
Identify an educational topic or skill that can be enhanced using AI.
-
Design an activity that leverages an AI assistant or tool to support learning.
-
Develop a plan for implementing and evaluating the activity.
-
Create supporting materials, such as instructions or resources.
Review AI Concepts
Show steps
Review fundamental AI concepts to strengthen your understanding before starting the course.
Browse courses on
AI Concepts
Show steps
Show steps
Show steps
- Read introductory articles or textbooks on AI concepts.
- Watch online videos or tutorials on basic AI algorithms.
- Complete practice exercises or quizzes to test your comprehension.
Explore GPT-3 Tutorials
Show steps
Follow guided tutorials to enhance your understanding of GPT-3's capabilities and applications.
Browse courses on
GPT-3
Show steps
Show steps
Show steps
- Identify reputable online platforms or resources offering GPT-3 tutorials.
- Choose tutorials that align with your learning objectives.
- Follow the instructions and complete the exercises provided in the tutorials.
- Experiment with the GPT-3 API or playground to apply your learnings.
Practice Prompt Engineering Exercises
Show steps
Engage in repetitive prompt engineering exercises to refine your skills and improve your ability to collaborate with AI assistants.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Find online resources or platforms that offer prompt engineering exercises.
- Select exercises that focus on specific tasks or domains relevant to your course.
- Practice writing prompts that yield accurate, relevant, and useful outputs.
- Review your results and identify areas for improvement.
One other activity
Expand to see all activities and additional details
Show all four activities
Design an AI-Powered Learning Activity
Show steps
Create an original AI-powered learning activity to demonstrate your understanding of AI's potential in educational settings.
Browse courses on
AI in Education
Show steps
Show steps
Show steps
- Identify an educational topic or skill that can be enhanced using AI.
- Design an activity that leverages an AI assistant or tool to support learning.
- Develop a plan for implementing and evaluating the activity.
- Create supporting materials, such as instructions or resources.
Career center
Learners who complete AI for Education (Intermediate) will develop knowledge and skills
that may be useful to these careers:
Instructional Technology Specialist
Instructional Technology Specialist
Instructional Technology Specialists work to improve the quality of learning by incorporating technology into the classroom. Whether online or in a traditional classroom, technology is a part of nearly every student's education, and what better way to gain experience working with technology in education than by taking a course in AI for education? This course offers hands-on demonstrations of how to use AI in a wide range of learning environments, helping you to build a foundation for working with technology in the classroom
Educational Software Developer
Educational Software Developer
Educational Software Developers are responsible for the research, design, and development of software used by educational institutions. If you're interested in pursuing a career as an Educational Software Developer, a course in AI for Education is a great way to learn more about AI and how you can use it to improve how students and educators use software.
Curriculum Developer
Curriculum Developer
Curriculum Developers create the lesson plans and materials used by educators in all learning environments. A background in AI can set you apart from other job applicants when applying to roles as a Curriculum Developer, as it demonstrates not only your technical proficiency but also your ability to think critically and creatively about education. This course in AI for Education is a great way to build a foundation in these skills and learn how to use AI in educational development.
Learning Experience Designer
Learning Experience Designer
Learning Experience Designers are responsible for designing and developing the overall learning experience for students. This course in AI for Education can help Learning Experience Designers build a foundation in the use of AI to improve the learning experience for students, from designing engaging AI-powered learning experiences to using AI to personalize the learning experience.
Education Consultant
Education Consultant
Education Consultants work with schools and other educational institutions to improve student outcomes. If you're interested in a career as an Education Consultant, taking a course in AI for Education is a great way to learn about how AI can be used to improve education.
Instructional Designer
Instructional Designer
Instructional Designers design, develop, and implement learning materials and experiences. A course in AI for Education may be useful for Instructional Designers who are interested in learning more about how AI can be used to personalize and improve instruction.
Higher Education Administrator
Higher Education Administrator
Higher Education Administrators oversee the day-to-day operations of colleges and universities. This course may be useful for Higher Education Administrators who are interested in learning more about how AI can be used to improve the college experience, such as using AI to advise students or to improve the efficiency of administrative processes.
Teacher
Teacher
Teachers instruct students in a variety of academic subjects. This course may be useful for Teachers who are interested in learning more about how AI can be used to improve teaching and learning.
Educational Researcher
Educational Researcher
Educational Researchers study how people learn and how to improve educational practices. This course may be useful for Educational Researchers who are interested in learning more about how AI can be used to improve learning research.
Education Policy Analyst
Education Policy Analyst
Education Policy Analysts research, analyze, and develop education policies. This course may be useful for Education Policy Analysts who are interested in learning more about how AI can be used to inform education policy.
Education Program Manager
Education Program Manager
Education Program Managers plan, implement, and evaluate education programs. This course may be useful for Education Program Managers who are interested in learning more about how AI can be used to improve the efficiency and effectiveness of education programs.
Nonprofit Program Manager
Nonprofit Program Manager
Nonprofit Program Managers plan, implement, and evaluate programs for nonprofit organizations. This course may be useful for Nonprofit Program Managers who are interested in learning more about how AI can be used to improve the efficiency and effectiveness of nonprofit programs.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. This course may be useful for Data Analysts who are interested in learning more about how AI can be used to improve data analysis.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who are interested in learning more about how AI can be used to improve software development.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain AI systems. This course may be useful for Artificial Intelligence Engineers who are interested in learning more about how AI can be used to improve education.
For more career information including salaries, visit:
OpenCourser.com/course/0m7uka/ai
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI for Education (Intermediate).
This resource guide provides a comprehensive overview of AI in education. It covers the use of AI in different areas of education, the benefits and challenges of using AI in education, and the future of AI in education.
Provides a critical analysis of the use of AI in education. It discusses the benefits and risks of AI in education, and provides recommendations for how AI can be used ethically and effectively in the classroom.
Provides a practical guide for teachers who want to use AI in their classrooms. It covers topics such as how to choose AI tools, how to integrate AI into lesson plans, and how to assess student learning using AI.
Provides a global perspective on the use of AI in education. It covers the use of AI in education in different countries and regions, and the challenges and opportunities for using AI in education in the developing world.
This glossary provides a definition of the key terms used in the field of AI in education. It useful resource for anyone who wants to learn more about AI in education.
Provides a framework for understanding how innovation happens, and how to avoid the innovator's dilemma.
Save
Provides a comprehensive introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
Save
Provides a comprehensive introduction to deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive introduction to reinforcement learning, covering topics such as Markov decision processes, value functions, and reinforcement learning algorithms.
Provides a comprehensive introduction to natural language processing, covering topics such as text classification, information extraction, and machine translation.
Provides a comprehensive introduction to computer vision, covering topics such as image processing, object recognition, and scene understanding.
Save
Provides a comprehensive introduction to deep learning for natural language processing, covering topics such as word embeddings, convolutional neural networks, and recurrent neural networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0m7uka/ai
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Level
Intermediate
Via
Coursera
Institution
University System of Georgia
Instructor
Jeanne Beatrix Law
Language
English
Good to know
Builds on knowledge of AI for Education and teaches methods for advanced prompt engineering in education
Learners tell the course how to engage students in ethical use of AI Assistant tools
Explores ethical collaboration between humans and AI Assistants in education
Provides practical and straight-forward resources for immediate use
Teaches diverse applications of prompt engineering across different learning environments
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