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Machine Learning and Human Learning
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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

machine learning
AI in education
learning analytics
human cognition
educational technology

This course includes:

4.75 Hours PreRecorded video

13 peer reviews

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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.

Machine Learning and Human Learning

Beginner

Skill Level

34 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.