Sorry, this page is no longer available
We may earn an affiliate commission when you visit our partners.
Course image
Robert Gray

Course 2 teaches you how to distinguish between different methods for studying human error. You will also learn about human-centered design and usability, and how to compare and contrast different methodologies for evaluating the usability of products, technologies & systems.

Enroll now

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Course Introduction
In this course, you will gain the skills to distinguish between various research methods, understand their strengths and weaknesses, and explore human-centered design principles. By the end of Course 2, you will be well-equipped to conduct comprehensive research and evaluation to optimize human interactions within complex systems.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops theoretical knowledge and practical skills for performing research studies in the field of human error
Builds a strong foundation for learners new to the topic of human error
Suitable for learners in various fields, including human factors, psychology, and engineering
Led by instructors with expertise in the field, providing valuable insights and practical knowledge
Part of a series of courses, offering a comprehensive understanding of human error
Covers fundamental concepts and advanced techniques for studying human error, providing a well-rounded understanding

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Foundational course on human error and usability

According to learners, this course offers a solid foundation in understanding human error measurement and usability. Many found the modules on research methods particularly insightful and well-explained, making complex topics accessible. The course is often praised for its clear explanations and providing valuable foundational knowledge. However, some students with existing background in human factors found the content to lack depth and wished for more advanced techniques or real-world complex case studies. There's also a recurring desire for more hands-on exercises or labs to enhance practical application, as some felt it remained highly theoretical. While instructor knowledge is valued, a few reviewers noted that lecture delivery could be more engaging.
Instructors provide clear explanations, making complex topics accessible.
"I appreciated the practical examples and the instructor's clear explanations."
"The clarity of the explanations made complex topics accessible."
"The distinctions between different study methods for human error were very well explained."
Provides excellent foundational knowledge in human error and usability concepts.
"This course was absolutely fantastic for understanding the nuances of human error and how to approach its study."
"Good overview of human error measurement and usability, the course provides valuable foundational knowledge."
"Excellent course that delves into a critical area. The distinctions between different study methods for human error were very well explained."
"A gem for anyone interested in human performance and error. The deep dive into research methodologies was invaluable."
Content is strong, but some lectures could benefit from more dynamic delivery.
"Some lectures were a bit dry, but the readings compensated for it."
"The instructor was knowledgeable, but the delivery could be more engaging at times."
Reviewers often desire more hands-on activities and real-world examples.
"I wish there were more hands-on exercises or labs to solidify the concepts."
"It felt very theoretical with insufficient practical guidance. Needs more hands-on activities."
"I expected more real-world complex case studies."
"I would have liked more about real-world constraints in research."
Well-suited for beginners, but some advanced learners may find it introductory.
"It's a great starting point for beginners."
"I felt some parts of the course lacked depth, especially on advanced techniques."
"If you're an advanced professional, you might find it too basic."
"It felt like a rehash of basic concepts for me, having some background in human factors."

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 How Can We Measure and Study Human Error? with these activities:
Read: Human Error by James Reason
Enhance understanding by reading a foundational text on human error analysis, expanding knowledge and providing a deeper perspective.
Show steps
  • Purchase or borrow the book
  • Read the book
  • Take notes and highlight key concepts
Complete Human Error Analysis Quizzes
Take frequent quizzes to test comprehension of key concepts and identify areas for further study.
Browse courses on Human Factors
Show steps
  • Access the Human Error Analysis quizzes
  • Complete a quiz
  • Review the answers and explanations
Attend a Human Factors Workshop
Advance knowledge by attending a workshop on human factors or usability, gaining insights from experts and engaging in hands-on activities.
Browse courses on Human Factors
Show steps
  • Research and find a relevant workshop
  • Register for the workshop
  • Attend the workshop and actively participate
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore UX Crash Course
Review a series of short videos on Coursera's UX Crash Course to reinforce the concepts of human-centered design, usability, and human error.
Browse courses on Human-Centered Design
Show steps
  • Sign up for the UX Crash Course on Coursera
  • Watch the entire 14-video series
Discuss Human Error Case Studies
Engage in a peer study group to discuss real-world examples of human error, offering diverse perspectives and enhancing understanding.
Browse courses on Case Studies
Show steps
  • Find a study partner or group
  • Select a case study of human error
  • Analyze the case study and identify contributing factors
  • Discuss your findings with your study group
Mentor Students in Human Error Analysis
Enhance subject mastery by mentoring students, reinforcing knowledge through teaching and providing support to others.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor students
  • Prepare materials and resources
  • Meet with students regularly
Contribute to Human Error Analysis Tools
Gain practical experience by contributing to open-source human error analysis tools, deepening understanding and contributing to the community.
Browse courses on Tools
Show steps
  • Identify a relevant open-source project
  • Review the project's documentation and codebase
  • Make a contribution to the project
  • Submit your contribution for review

Career center

Learners who complete How Can We Measure and Study Human Error? will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser