Machine Learning and Human Learning
Explore the intersection of AI and education in this course on machine learning, human cognition, and educational technology.
Course Cost
Free course
Beginner
Skill Level
34 Hours
Self-paced lessons
Dive into the fascinating world of machine learning and its impact on human education with this comprehensive course. Examine the key differences between machine and human learning, exploring both technical aspects of AI and broader philosophical questions about intelligence. Gain insights into practical applications of learning analytics and AI in educational tools, while critically evaluating their implications. Designed for educators and AI enthusiasts alike, this course offers a unique perspective on the future of learning in the age of artificial intelligence.
What you'll learn
Understand the fundamental differences between machine and human learning
Explore technical definitions of supervised and unsupervised machine learning
Analyze the concept of mechanical intelligence and its relation to human cognition
Examine practical applications of learning analytics in educational tools
Critically evaluate the implementation of AI in education
Investigate cyber-social perspectives on intelligence and learning
Learn about educational data mining techniques and their implications
Develop a nuanced understanding of AI's potential and limitations in educational contexts
Skills you'll gain
This course includes:
4.75 Hours PreRecorded video
13 peer reviews
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This course explores the complex relationship between machine learning and human learning, focusing on their applications in education. Participants will examine technical aspects of supervised and unsupervised machine learning, as well as broader concepts of artificial intelligence. The curriculum covers key topics such as cyber-social perspectives, educational data mining, and the practical applications of AI in learning management systems. Through a blend of theoretical study and practical analysis, students will gain a comprehensive understanding of how AI is shaping the future of education and cognitive science.
Course Orientation + Differences between human and machine learning
Module 1 · 9 Hours to complete
Cyber Social Perspectives
Module 2 · 11 Hours to complete
Educational Data Mining
Module 3 · 4 Hours to complete
Framing the AI Discussion
Module 4 · 10 Hours to complete
Fee Structure
Payment options
Financial Aid
Reviews
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.







