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Dr William Cope,
Vania Carvalho de Castro,
and
JC Morgan
This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education. The course is designed to aspiring and current educators, and anyone who is interested in the intersection of human and machine learning, and AI applications in education.
Register for this course and see more details by visiting:
OpenCourser.com/course/4qjb7v/machine
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What's inside
Syllabus
Course Orientation + Differences between human and machine learning
This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education.
Read more
Syllabus
Course Orientation + Differences between human and machine learning
This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education.
Read more
Cyber Social Perspectives
Educational Data Mining
Framing the AI Discussion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines the differences between machine and human learning
Taught by recognized experts in learning analytics
Explores the use of AI in educational tools and systems
Suitable for both current and future educators
Provides a comprehensive overview of learning analytics and AI in education
Save this course
Save Machine Learning and Human Learning 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 Machine Learning and Human Learning with these
activities:
Review machine learning principles
Show steps
Understand the fundamental concepts of machine learning to strengthen the foundational knowledge of the course.
Browse courses on
Machine Learning
Show steps
-
Read introductory articles on machine learning.
-
Review key concepts from previous courses or resources.
-
Attend a refresher session or workshop on machine learning.
Join a study group for the course
Show steps
Engage with peers to discuss course concepts, exchange perspectives, and enhance understanding through collaboration.
Show steps
-
Find or create a study group with fellow students.
-
Schedule regular meetings to discuss course material.
-
Collaborate on assignments and projects.
Compile a list of AI applications in education
Show steps
Explore the practical applications of AI in educational settings to grasp its potential and limitations.
Browse courses on
AI in Education
Show steps
-
Research different ways AI is used in education.
-
Gather examples of AI-powered educational tools and resources.
-
Organize and document your findings.
Three other activities
Expand to see all activities and additional details
Show all six activities
Explore online tutorials on neural networks
Show steps
Delve deeper into the technical aspects of neural networks to refine your understanding and build practical skills.
Browse courses on
Neural Networks
Show steps
-
Identify reputable online platforms or resources for neural network tutorials.
-
Select tutorials that align with your learning objectives.
-
Work through the tutorials, completing exercises and assignments.
Volunteer at a local AI organization
Show steps
Engage with the AI community, gain practical experience, and expand your network by volunteering your skills.
Show steps
-
Research local AI organizations and identify opportunities.
-
Contact organizations to inquire about volunteer positions.
-
Attend training or orientation programs.
-
Participate in projects and contribute your skills.
Develop a machine learning project
Show steps
Apply your knowledge by creating a practical machine learning project, solidifying your skills and gaining hands-on experience.
Show steps
-
Identify a problem or challenge that can be solved using machine learning.
-
Gather and prepare the necessary data.
-
Choose and implement appropriate machine learning algorithms.
-
Evaluate the performance of your model.
-
Document your project and share your findings.
Review machine learning principles
Show steps
Understand the fundamental concepts of machine learning to strengthen the foundational knowledge of the course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Read introductory articles on machine learning.
- Review key concepts from previous courses or resources.
- Attend a refresher session or workshop on machine learning.
Join a study group for the course
Show steps
Engage with peers to discuss course concepts, exchange perspectives, and enhance understanding through collaboration.
Show steps
Show steps
Show steps
- Find or create a study group with fellow students.
- Schedule regular meetings to discuss course material.
- Collaborate on assignments and projects.
Compile a list of AI applications in education
Show steps
Explore the practical applications of AI in educational settings to grasp its potential and limitations.
Browse courses on
AI in Education
Show steps
Show steps
Show steps
- Research different ways AI is used in education.
- Gather examples of AI-powered educational tools and resources.
- Organize and document your findings.
Three other activities
Expand to see all activities and additional details
Show all six activities
Explore online tutorials on neural networks
Show steps
Delve deeper into the technical aspects of neural networks to refine your understanding and build practical skills.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Identify reputable online platforms or resources for neural network tutorials.
- Select tutorials that align with your learning objectives.
- Work through the tutorials, completing exercises and assignments.
Volunteer at a local AI organization
Show steps
Engage with the AI community, gain practical experience, and expand your network by volunteering your skills.
Show steps
Show steps
Show steps
- Research local AI organizations and identify opportunities.
- Contact organizations to inquire about volunteer positions.
- Attend training or orientation programs.
- Participate in projects and contribute your skills.
Develop a machine learning project
Show steps
Apply your knowledge by creating a practical machine learning project, solidifying your skills and gaining hands-on experience.
Show steps
Show steps
Show steps
- Identify a problem or challenge that can be solved using machine learning.
- Gather and prepare the necessary data.
- Choose and implement appropriate machine learning algorithms.
- Evaluate the performance of your model.
- Document your project and share your findings.
Career center
Learners who complete Machine Learning and Human Learning will develop knowledge and skills
that may be useful to these careers:
Instructional Designer
Instructional Designer
Instructional Designers create and develop instructional materials for use in both online and traditional learning environments. Some Instructional Designers are responsible for creating engaging and effective content that can be used to teach students in a variety of settings. They may also develop training programs for employees in different industries. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to create more effective instructional materials that will help your students to succeed.
Computer Science Teacher
Computer Science Teacher
Computer Science Teachers create lesson plans that will teach the basic principles of computer science and how they are applied in everyday life, both at home and at work. They also develop and implement tests to measure student progress. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to create more effective lesson plans that will help your students to succeed.
Data Scientist
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to business problems. They may work in a variety of industries, from finance to healthcare. Some Data Scientists specialize in a particular area, such as machine learning or artificial intelligence, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to develop and implement more effective data-driven solutions to business problems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. They may work on a variety of projects, from fraud detection to medical diagnosis. Some Machine Learning Engineers specialize in a particular area, such as supervised learning or unsupervised learning, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to design and develop more effective machine learning models.
Research Scientist
Research Scientist
Research Scientists conduct research in a variety of fields, including science, engineering, and technology. They may work in both academia and industry. Some Research Scientists focus on developing new technologies and products, while others focus on understanding the fundamental principles of the universe and how it works. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to design and conduct more effective research studies.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They may work on a variety of projects, from small personal apps to large enterprise systems. Some Software Engineers specialize in a particular area, such as web development or mobile app development, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to design and develop more user-friendly and effective software applications.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. They may work in a variety of industries, from finance to healthcare. Some Data Analysts specialize in a particular area, such as statistical analysis or data visualization, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to collect, clean, and analyze data more effectively.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop artificial intelligence systems. They may work on a variety of projects, from self-driving cars to facial recognition software. Some Artificial Intelligence Engineers specialize in a particular area, such as machine learning or natural language processing, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to design and develop more effective artificial intelligence systems.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers, to bring new products to market. Some Product Managers specialize in a particular area, such as software products or hardware products, while others work on a variety of products. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to develop and launch more successful products.
Technical Writer
Technical Writer
Technical Writers create and develop technical documentation, such as user manuals and white papers. They work with a variety of stakeholders, including engineers, scientists, and marketers, to create documentation that is clear, concise, and easy to understand. Some Technical Writers specialize in a particular area, such as software documentation or hardware documentation, while others work on a variety of projects.
User Experience Designer
User Experience Designer
User Experience Designers design and develop the user experience for websites and mobile apps. They work to make sure that websites and apps are easy to use and enjoyable to use. Some User Experience Designers specialize in a particular area, such as web design or mobile app design, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to design and develop user experiences that are more effective and enjoyable to use.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with a variety of stakeholders, including project team members, clients, and stakeholders, to ensure that projects are completed on time, within budget, and to the required quality standards. Some Project Managers specialize in a particular area, such as software development projects or construction projects, while others work on a variety of projects.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. They work with a variety of stakeholders, including business leaders, IT professionals, and end users, to gather requirements and develop solutions. Some Business Analysts specialize in a particular area, such as process improvement or data analysis, while others work on a variety of projects. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to gather requirements and develop solutions more effectively.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. They work with a variety of stakeholders, including marketing team members, sales team members, and customers, to develop and implement marketing campaigns that are effective and reach the target audience. Some Marketing Managers specialize in a particular area, such as digital marketing or social media marketing, while others work on a variety of marketing campaigns.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They work with a variety of stakeholders, including employees, customers, and suppliers, to ensure that the business runs smoothly and efficiently. Some Operations Managers specialize in a particular area, such as manufacturing operations or supply chain management, while others work on a variety of operations. This course may be useful as it will help you to better understand the different ways that humans and machines learn. This can help you to manage operations more effectively and efficiently.
For more career information including salaries, visit:
OpenCourser.com/course/4qjb7v/machine
Reading list
We've selected 15 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
Machine Learning and Human Learning.
Offers a well-rounded overview of statistical learning, a vital foundation for understanding machine learning. It is highly regarded in the field for its comprehensive coverage.
Save
Provides a comprehensive overview of deep learning. It covers the latest advancements in deep neural networks and provides guidance on designing and training deep learning models to help you stay up-to-date.
Save
This book's focus is on the algorithmic side of machine learning, making it a valuable resource for those wanting an understanding of the underlying mechanisms driving machine learning algorithms.
This textbook is suited to those with a basic understanding of linear algebra and probability. It aids in developing a better understanding of the theoretical aspects of machine learning and gives good insights on the field.
This practical, hands-on guide provides step-by-step guidance on how to implement machine learning models. It helps strengthen machine learning knowledge and provides a useful reference for implementing machine learning projects.
This textbook provides a probabilistic perspective to the field of machine learning. It is suited to those with a background in probability and statistics.
Save
Offers a non-technical introduction to the area of machine learning and how it can be applied to various real-world problems.
Provides a practical introduction to machine learning using Python.
Save
Provides a comprehensive overview of machine learning, including both theoretical and practical aspects.
Provides a comprehensive overview of pattern recognition and machine learning, including a detailed discussion of statistical methods.
Save
Provides a practical overview of data mining and machine learning.
Save
This classic book explores the nature of the mind and consciousness, with a particular focus on the relationship between artificial intelligence and human intelligence.
This classic book explores the nature of mind and intelligence, with a particular focus on the relationship between artificial intelligence and human intelligence.
Save
This classic book explores the nature of mind, intelligence, and creativity, with a particular focus on the relationship between mathematics, music, and art.
Provides a comprehensive overview of statistical learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4qjb7v/machine
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Level
Introductory
Via
Coursera
Institution
University of Illinois at Urbana-Champaign
Instructors
Dr William Cope
Vania Carvalho de Castro
JC Morgan
Language
English
Good to know
Examines the differences between machine and human learning
Taught by recognized experts in learning analytics
Explores the use of AI in educational tools and systems
Suitable for both current and future educators
Provides a comprehensive overview of learning analytics and AI in education
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