Machine Learning and Human Learning (Coursera)

Machine Learning and Human Learning (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

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.

Cyber Social Perspectives

Educational Data Mining

Framing the AI Discussion

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

AI and the Illusion of Intelligence (Coursera) Coursera
Copenhagen Business School

AI and the Illusion of Intelligence (Coursera)

Will AI soon be surpassing humans? This is rapidly becoming one of the central questions of our time -- but it is the wrong question. In this course, we will provide a non-technical look at where AI has come from, and where it is going. We will see that there is no reason to expect that AI will be surpassing humans. Instead, what we are learning to create with AI is the illusion of intelligence.

Sep 28th 2026
4 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks
Conversations that Inspire: Coaching Learning, Leadership and Change (Coursera) Coursera
Case Western Reserve University

Conversations that Inspire: Coaching Learning, Leadership and Change (Coursera)

Coaching can inspire and motivate people to learn, change and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.

Sep 28th 2026
5-12 Weeks
Severe to Profound Intellectual Disability: Circles of Care and Education (Coursera) Coursera
University of Cape Town

Severe to Profound Intellectual Disability: Circles of Care and Education (Coursera)

This course is about caring for and educating children (and youth) with severe to profound intellectual disability. We use the idea of 'circles' to position the child at the center of the many levels of support needed. Around the child are circles of care and education - such as the parents, family, friends, caregivers, educators, health care workers and others such as neighbors, business owners and community members.

Sep 28th 2026
4 Weeks
The Learning Innovation Network (Coursera) Coursera
Politecnico di Milano

The Learning Innovation Network (Coursera)

Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation.

Sep 28th 2026
3 Weeks
Designing Learning Innovation: an introduction (Coursera) Coursera
Politecnico di Milano

Designing Learning Innovation: an introduction (Coursera)

Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation.

Sep 28th 2026
4 Weeks
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Sep 28th 2026
5-12 Weeks
Decision Making and Reinforcement Learning (Coursera) Coursera
Columbia University

Decision Making and Reinforcement Learning (Coursera)

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods.

Sep 28th 2026
5-12 Weeks
Artificial Intelligence in Marketing (Coursera) Coursera
University of Virginia

Artificial Intelligence in Marketing (Coursera)

AI is everywhere! By harnessing the power of Artificial Intelligence, businesses and marketers have amazing growth potential, and the opportunities to enhance marketing with AI are always expanding. But how can businesses use AI tools to drive their success and gain sustainable competitive advantages? What are the challenges faced by businesses as they implement AI into their marketing strategies? In this course, developed at the Darden School of Business at the University of Virginia, and delivered by Professor of Business Administration Raj Venkatesan, you will explore an important frontier of digital transformation in marketing.

Sep 28th 2026
4 Weeks
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Sep 28th 2026
5-12 Weeks