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David Joyner
Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact.
Read more
Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact.
Read more
Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact.
In this course, teachers will learn how to adjust to the existence of these new technologies. To start, this course will teach some crucial strategies for adjusting existing assessments to expected student use of new AI tools so that you can remain assured your students are achieving your learning goals.
Defensive adjustment of our assessments is just the starting point, though; from there, this course will move on to exciting ways you can leverage AI in your class, from teaching students how to use it as a “calculator” for writing to using it yourself to author engaging new assignments tailored to your specific context.
At the end, you will come away with the confidence that not only are your students learning what you want them to learn, but that they are going beyond what they could have done in the past using new technologies.
Register for this course and see more details by visiting:
OpenCourser.com/course/j9b5vc/assessment
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What's inside
Learning objectives
- Basics of conversational ai tools like chatgpt, including their strengths and weaknesses.
- Design of ai-resistant assessment such that student reliance on ai is limited.
- Design of ai-conducive assessment such that student use of ai is expected and accommodated.
- Design of ai-expansive assessment such that student use of ai is encouraged and leveraged for greater outcomes.
- Basics of conversational ai tools like chatgpt, including their strengths and weaknesses.
- Design of ai-resistant assessment such that student reliance on ai is limited.
- Design of ai-conducive assessment such that student use of ai is expected and accommodated.
- Design of ai-expansive assessment such that student use of ai is encouraged and leveraged for greater outcomes.
Syllabus
Week 1: Fundamentals of Conversational AI Learn the fundamental components of conversational AI tools like ChatGPT, including how they work, what their strengths and weaknesses are, and how to prompt them for the best results.
Read more
Syllabus
Week 1: Fundamentals of Conversational AI Learn the fundamental components of conversational AI tools like ChatGPT, including how they work, what their strengths and weaknesses are, and how to prompt them for the best results.
Read more
Week 2: AI-Resistant Assessment Learn strategies for revising your existing assignments to minimize the impact of AI and prevent students from overrelying on intelligent assistants rather than their own understanding.
Week 3: AI-Conducive Assessment Learn strategies for expecting and accepting students to use AI assistance on your assignments and adjusting accordingly, including desirable approaches to using AI and modifications to assignments to increase expectations based on AI assistance.
Week 4: AI-Expansive Assessment Learn strategies for leveraging the existence and pervasiveness of conversational AI to offer students assignments that would have been infeasible or impossible without these new technologies, like new assessments custom tailored to your context.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps teachers adjust to the use of conversational AI tools by students
Respected instructor leads the course and provides valuable insights on the subject matter
Taught by experts in the field who are actively involved in using Conversational AI in the classroom
Might require students to use specialized software that could potentially incur extra cost
Effectively prepares teachers to both resist and harness the power of AI in the classroom
Incorporates hands-on activities and real-world examples to help participants apply the skills they learn
Save this course
Save Assessment Design with AI to your list so you can find it easily later:
Save
Save
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 Assessment Design with AI with these
activities:
Review the basics of conversational AI
Show steps
Brush up on the fundamentals of conversational AI to ensure a solid foundation for the course.
Browse courses on
Conversational AI
Show steps
-
Read introductory articles or blog posts about conversational AI
-
Watch videos or tutorials on how conversational AI works
-
Explore different conversational AI platforms and their features
Prepare a sample batch of data prompts for conversational AI
Show steps
By preparing a sample batch of data prompts tailored to conversational AI, you'll gain a deeper understanding of their strengths and limitations, enabling you to effectively incorporate conversational AI into your teaching practices.
Browse courses on
Conversational AI
Show steps
-
Gather a small dataset of prompts
-
Format the prompts to be compatible with conversational AI
-
Test the prompts to ensure they elicit meaningful responses
Follow tutorials on AI-resistant assessment techniques
Show steps
Stay up-to-date with best practices for designing assessments that minimize AI usage and promote authentic student learning.
Browse courses on
Assessment Design
Show steps
-
Search for tutorials on AI-resistant assessment techniques
-
Follow the steps outlined in the tutorials to implement these techniques in your own assessments
-
Evaluate the effectiveness of your AI-resistant assessments
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Engage in practice exercises to master conversational AI techniques
Show steps
By engaging in practice exercises, you'll gain hands-on experience in using conversational AI, allowing you to refine your skills and improve your understanding of its capabilities and limitations.
Browse courses on
Conversational AI
Show steps
-
Explore online tutorials or courses on conversational AI
-
Experiment with different conversational AI tools and features
-
Seek feedback from other educators to improve your conversational AI techniques
Create a chatbot using a conversational AI platform
Show steps
Develop practical skills in building and deploying chatbots to enhance your understanding of conversational AI.
Browse courses on
Chatbot Development
Show steps
-
Choose a conversational AI platform and create an account
-
Design the conversation flow and user interface of your chatbot
-
Train your chatbot on a dataset or manually input responses
-
Test and refine your chatbot's performance
Design a lesson plan that integrates conversational AI as a tool
Show steps
This activity will help you develop a comprehensive understanding of how to integrate conversational AI into your teaching strategies, enhancing the learning experience for your students.
Browse courses on
Conversational AI
Show steps
-
Identify learning objectives that can be supported by conversational AI
-
Research and select an appropriate conversational AI tool
-
Develop lesson activities that seamlessly incorporate conversational AI
-
Create teacher prompts and instructions to guide students
-
Pilot the lesson plan in a small group setting
Explore advanced tutorials on conversational AI to enhance your knowledge
Show steps
Delving into advanced tutorials will provide you with a deeper understanding of conversational AI's capabilities and enable you to explore innovative ways to integrate it into your teaching practices.
Browse courses on
Conversational AI
Show steps
-
Identify reputable resources or experts offering advanced tutorials on conversational AI
-
Set aside dedicated time for exploring advanced topics and techniques
-
Engage in discussions with other educators or experts to share insights
Participate in peer learning sessions to share and exchange ideas about conversational AI
Show steps
Engaging in peer learning sessions will expose you to diverse perspectives from fellow educators, allowing you to share ideas, learn from others' experiences, and collectively enhance your knowledge of conversational AI.
Browse courses on
Conversational AI
Show steps
-
Identify a group of educators interested in exploring conversational AI
-
Establish regular meeting times and a collaborative platform
-
Facilitate discussions and share expertise on conversational AI
-
Reflect on the discussions and incorporate insights into your teaching practices
Contribute to open-source projects related to conversational AI
Show steps
Expand your knowledge and contribute to the conversational AI community by participating in open-source projects, collaborating with others to advance the field and gain valuable experience.
Show steps
-
Identify open-source projects related to conversational AI that align with your interests and skills
-
Review the project documentation and codebase to understand its purpose and functionality
-
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements
Develop a full lesson plan that showcases the use of conversational AI
Show steps
This challenging activity will provide you with an opportunity to showcase your comprehensive understanding of conversational AI and its application in the classroom, creating a valuable resource for yourself and other educators.
Browse courses on
Conversational AI
Show steps
-
Identify clear learning objectives to be achieved through the lesson
-
Design engaging activities that incorporate conversational AI
-
Develop assessment strategies to evaluate student learning
-
Create detailed teacher instructions and student handouts
-
Implement the lesson plan in a real-world classroom setting
Contribute to open-source projects related to conversational AI
Show steps
By contributing to open-source projects related to conversational AI, you'll gain practical experience, enhance your understanding of the technology, and contribute to the advancement of conversational AI for educational purposes.
Browse courses on
Conversational AI
Show steps
-
Identify open-source projects in the field of conversational AI
-
Explore the codebase and documentation to understand the project
-
Identify areas where you can make meaningful contributions
-
Create pull requests or contribute to discussions
-
Receive feedback from project maintainers and collaborate with other contributors
Review the basics of conversational AI
Show steps
Brush up on the fundamentals of conversational AI to ensure a solid foundation for the course.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Read introductory articles or blog posts about conversational AI
- Watch videos or tutorials on how conversational AI works
- Explore different conversational AI platforms and their features
Prepare a sample batch of data prompts for conversational AI
Show steps
By preparing a sample batch of data prompts tailored to conversational AI, you'll gain a deeper understanding of their strengths and limitations, enabling you to effectively incorporate conversational AI into your teaching practices.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Gather a small dataset of prompts
- Format the prompts to be compatible with conversational AI
- Test the prompts to ensure they elicit meaningful responses
Follow tutorials on AI-resistant assessment techniques
Show steps
Stay up-to-date with best practices for designing assessments that minimize AI usage and promote authentic student learning.
Browse courses on
Assessment Design
Show steps
Show steps
Show steps
- Search for tutorials on AI-resistant assessment techniques
- Follow the steps outlined in the tutorials to implement these techniques in your own assessments
- Evaluate the effectiveness of your AI-resistant assessments
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Engage in practice exercises to master conversational AI techniques
Show steps
By engaging in practice exercises, you'll gain hands-on experience in using conversational AI, allowing you to refine your skills and improve your understanding of its capabilities and limitations.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Explore online tutorials or courses on conversational AI
- Experiment with different conversational AI tools and features
- Seek feedback from other educators to improve your conversational AI techniques
Create a chatbot using a conversational AI platform
Show steps
Develop practical skills in building and deploying chatbots to enhance your understanding of conversational AI.
Browse courses on
Chatbot Development
Show steps
Show steps
Show steps
- Choose a conversational AI platform and create an account
- Design the conversation flow and user interface of your chatbot
- Train your chatbot on a dataset or manually input responses
- Test and refine your chatbot's performance
Design a lesson plan that integrates conversational AI as a tool
Show steps
This activity will help you develop a comprehensive understanding of how to integrate conversational AI into your teaching strategies, enhancing the learning experience for your students.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify learning objectives that can be supported by conversational AI
- Research and select an appropriate conversational AI tool
- Develop lesson activities that seamlessly incorporate conversational AI
- Create teacher prompts and instructions to guide students
- Pilot the lesson plan in a small group setting
Explore advanced tutorials on conversational AI to enhance your knowledge
Show steps
Delving into advanced tutorials will provide you with a deeper understanding of conversational AI's capabilities and enable you to explore innovative ways to integrate it into your teaching practices.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify reputable resources or experts offering advanced tutorials on conversational AI
- Set aside dedicated time for exploring advanced topics and techniques
- Engage in discussions with other educators or experts to share insights
Participate in peer learning sessions to share and exchange ideas about conversational AI
Show steps
Engaging in peer learning sessions will expose you to diverse perspectives from fellow educators, allowing you to share ideas, learn from others' experiences, and collectively enhance your knowledge of conversational AI.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify a group of educators interested in exploring conversational AI
- Establish regular meeting times and a collaborative platform
- Facilitate discussions and share expertise on conversational AI
- Reflect on the discussions and incorporate insights into your teaching practices
Contribute to open-source projects related to conversational AI
Show steps
Expand your knowledge and contribute to the conversational AI community by participating in open-source projects, collaborating with others to advance the field and gain valuable experience.
Show steps
Show steps
Show steps
- Identify open-source projects related to conversational AI that align with your interests and skills
- Review the project documentation and codebase to understand its purpose and functionality
- Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements
Develop a full lesson plan that showcases the use of conversational AI
Show steps
This challenging activity will provide you with an opportunity to showcase your comprehensive understanding of conversational AI and its application in the classroom, creating a valuable resource for yourself and other educators.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify clear learning objectives to be achieved through the lesson
- Design engaging activities that incorporate conversational AI
- Develop assessment strategies to evaluate student learning
- Create detailed teacher instructions and student handouts
- Implement the lesson plan in a real-world classroom setting
Contribute to open-source projects related to conversational AI
Show steps
By contributing to open-source projects related to conversational AI, you'll gain practical experience, enhance your understanding of the technology, and contribute to the advancement of conversational AI for educational purposes.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify open-source projects in the field of conversational AI
- Explore the codebase and documentation to understand the project
- Identify areas where you can make meaningful contributions
- Create pull requests or contribute to discussions
- Receive feedback from project maintainers and collaborate with other contributors
Career center
Learners who complete Assessment Design with AI will develop knowledge and skills
that may be useful to these careers:
Assessment Specialist
Assessment Specialist
Assessment Specialists design, develop, and implement assessments to evaluate student learning. This course may be useful to those in this role who want to stay abreast of the latest developments in assessment design, particularly those related to the impact of AI on assessment.
Instructional Designer
Instructional Designer
Instructional Designers create, develop, and evaluate instructional materials and learning environments. This course may be useful in building your foundation for designing assessments that adapt to the use of AI by students. Such assessments are increasingly crucial to effective instructional design.
Teacher
Teacher
Teachers plan, organize, and deliver instruction to K-12 students. This course may be useful in improving your understanding of how to effectively assess student learning, particularly in the context of AI's impact on assessment.
Professor
Professor
Professors plan, organize, and deliver instruction to college students, while conducting research and publishing their findings. This course may be useful in improving your understanding of how to effectively assess student learning in higher education, particularly in the context of AI's impact on assessment.
Educational Researcher
Educational Researcher
Educational Researchers design, conduct, and interpret research studies to improve teaching and learning. This course may be useful in strengthening your understanding of assessment design and its relationship with student learning, especially in the context of AI.
Chief Learning Officer
Chief Learning Officer
Chief Learning Officers are responsible for the development and implementation of learning and development strategies within an organization. This course may be useful in gaining insights into the challenges and opportunities of assessment design in the context of AI, with which you will need to be familiar to be successful in this role.
Instructional Coach
Instructional Coach
Instructional Coaches support teachers and students in improving teaching and learning. This course may be useful in building your knowledge for designing assessments that align with learning objectives, even in the context of widespread student use of AI, with which you will need to be familiar in order to succeed in this role.
Talent Development Specialist
Talent Development Specialist
Talent Development Specialists identify and develop talent within an organization. This course may be useful in enhancing your understanding of innovative assessment techniques, including those that leverage AI, in order to effectively assess employee skills and potential.
Curriculum Developer
Curriculum Developer
Curriculum Developers create and design educational materials and experiences, ensuring they meet learning objectives and standards. This course may be useful in bolstering your knowledge of assessment design, which is essential to designing effective curriculum.
Learning Architect
Learning Architect
Learning Architects develop and implement learning strategies to meet the needs of learners and organizations. This course may be useful in building your knowledge for designing assessments that align with learning objectives, even in the context of widespread student use of AI, with which you will need to be familiar in order to succeed in this role.
Learning and Development Manager
Learning and Development Manager
Learning and Development Managers plan and oversee employee training and development programs. This course may be useful in developing your skills in designing assessments that measure the effectiveness of training programs, including those that use AI.
Education Administrator
Education Administrator
Education Administrators oversee the operation of educational institutions. This course may be useful in building your knowledge for designing assessments that align with learning objectives, even in the context of widespread student use of AI, with which you will need to be familiar in order to succeed in this role.
Education Policy Analyst
Education Policy Analyst
Education Policy Analysts research, analyze, and make recommendations on education policy. This course may be useful in informing your understanding of the impact of AI on education, particularly in the context of assessment design.
Educational Consultant
Educational Consultant
Educational Consultants enhance teaching and learning in K-12 and higher education institutions, and are key partners in implementing education reforms. This course may be useful in informing your approach on assessment design that is resistant to AI, as well as for designing assessments that leverage and accommodate students' expected use of AI.
Human Resources Business Partner
Human Resources Business Partner
Human Resources Business Partners provide HR support to business units within an organization. This course may be useful in bolstering your ability to design assessments for employee selection and development, which is an important part of the role.
For more career information including salaries, visit:
OpenCourser.com/course/j9b5vc/assessment
Reading list
We've selected eight 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
Assessment Design with AI.
Discusses the challenges that established companies face when they try to innovate. It provides a framework for understanding the different types of innovation and how to overcome the challenges of bringing new products and services to market.
A concise and accessible introduction to machine learning. It covers the basics of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
Save
Provides a comprehensive overview of deep learning. It covers the basics of deep learning, including different types of deep learning models and how to train and evaluate deep learning models. It also discusses different applications of deep learning.
Provides a comprehensive overview of reinforcement learning. It covers the basics of reinforcement learning, including different types of reinforcement learning algorithms and how to train and evaluate reinforcement learning agents. It also discusses different applications of reinforcement learning.
Provides a comprehensive overview of computer vision. It covers the basics of computer vision, including different types of computer vision algorithms and how to develop computer vision applications. It also discusses different applications of computer vision.
Provides a comprehensive overview of natural language processing. It covers the basics of natural language processing, including different types of natural language processing algorithms and how to develop natural language processing applications. It also discusses different applications of natural language processing.
Provides a comprehensive overview of speech and language processing. It covers the basics of speech and language processing, including different types of speech and language processing algorithms and how to develop speech and language processing applications. It also discusses different applications of speech and language processing.
Provides a gentle introduction to machine learning. It covers the basics of machine learning, including different types of machine learning algorithms and how to train and evaluate machine learning models. It also discusses different applications of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/j9b5vc/assessment
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Effort
3 to 4 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
The Georgia Institute of Technology
Instructor
David Joyner
Session
January 1, 2024
- April 1, 2025
Language
English
Transcript
English
Good to know
Helps teachers adjust to the use of conversational AI tools by students
Respected instructor leads the course and provides valuable insights on the subject matter
Taught by experts in the field who are actively involved in using Conversational AI in the classroom
Might require students to use specialized software that could potentially incur extra cost
Effectively prepares teachers to both resist and harness the power of AI in the classroom
Incorporates hands-on activities and real-world examples to help participants apply the skills they learn
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