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Machine Learning and Human Learning · LearnSpace
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Machine Learning and Human Learning

Курс от University of Illinois Urbana-Champaign
Начальный≈ 41.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Education and TrainingEducation Software and TechnologyResponsible AIMachine LearningArtificial Intelligence and Machine Learning (AI/ML)Applied Machine LearningPedagogyInteractive LearningLearning TheoryAI PersonalizationArtificial IntelligenceMachine Learning MethodsHuman LearningData MiningPredictive AnalyticsDigital pedagogyAI literacyAnalyticsGenerative AIData Ethics

Программа курса

4 модулей · 87 учебных материалов

01Course Orientation and Introduction30 материалов

About this course

Welcome to Human Learning and Machine Learning!ВидеоSyllabusЧтениеCourse Support Q&A Hub (Course Issues Reporting Forum)ОбсуждениеWelcome! please tell us about yourselfPLUGIN

Учитесь у экспертов

Dr. William Cope

Professor

Vania Carvalho de Castro

Преподаватель курса

Machine Learning and Human Learning
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Обучение на Coursera

≈ 41.3 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Казахский

Часть программы вашего университета
Take this Course as a Stepping Stone for a University of Illinois Certificate, Masters, or Doctorate - Fully Online!Чтение

About your classmates

Optional Discussion: Getting to Know Your ClassmatesОбсуждениеSocial MediaЧтение

In the Beginning: Where Did We Get the Idea That Machines Could Think?

Tracing the DifferencesВидеоThe Idea of Machine IntelligenceВидеоArtificial Intelligence for EducationЧтениеOptional Dialogue: Where the Idea of Thinking Machines BeganDIALOGUEOptional Discussion Forum: Thinking MachinesОбсуждениеOptional Practice Essay: Where the Idea of Thinking Machines BeganЗаданиеRequired Peer Review: Where the Idea of Thinking Machines BeganВзаимная проверка

Human Learning and Machine Learning: Can We Make Them Similar?

Humans: Learning Machines or Languaged Minds?ВидеоBrain as Machine and Machine as BrainВидеоGood Old-fashioned AI and Human LearningВидеоOn Cyber-Social LearningЧтениеThe Clause, Revised: On Cyber-Social MeaningЧтениеOptional Dialogue: Can Human and Machine Learning Be Made Similar?DIALOGUEOptional Discussion: What Is AI, and How Does It Shape Your Life?ОбсуждениеOptional Practice Essay: Human and Machine Learning in a Tool You UseЗаданиеRequired Peer Review: Human and Machine Learning in a Tool You UseВзаимная проверка

Where are We Heading with Generative AI?

Generative AI in EducationВидеоReinforcement Learning: From Human to Artificial Intelligence (and Back Again)ВидеоLiteracy in the Time of Artificial IntelligenceЧтениеOptional Dialogue: What Generative AI Is, and How It Can Enhance LearningDIALOGUEOptional Discussion: Where Have You Worked With Generative AI, and Where Could It Help Learning?ОбсуждениеOptional Practice Essay: Designing or Critiquing a Use of Generative AI in LearningЗаданиеRequired Peer Review: Designing or Critiquing a Use of Generative AI in LearningВзаимная проверка
02Cyber-Social Perspectives27 материалов

How do Humans Learn?

Human Learning (after Behaviorism), Compared to Human LearningВидеоAdditional ResourcesЧтениеOptional Dialogue: Piaget, Vygotsky, and How Humans LearnDIALOGUEOptional Discussion: A Moment When You Saw Learning HappenОбсуждение

What does “Cyber” Mean, in Science and Fiction?

A “Cyber-Social” AlternativeВидеоCyber-Social IntelligenceВидеоAdditional ResourcesЧтениеOptional Dialogue: From Cybernetics to Cyber-SocialDIALOGUEOptional Discussion: A Cyber-Social Relationship in Your LifeОбсуждениеOptional Practice Essay: Analyzing a Cyber-Social RelationshipЗаданиеRequired Peer Review: Analyzing a Cyber-Social RelationshipВзаимная проверка

Human-Machine Interactions and Binary Meaning

Making Sense of Artificial Intelligence: A Grammar of Binary NotationВидеоStuff That Can Be Done with Binary Notation – Referencing InstancesВидеоStuff That Can Be Done with Binary Notation - Referencing ConceptsВидеоStuff That Can Be Done with Binary Notation – Referencing PropertiesВидеоRecommended Reading - Generative transpositions: The (Anti-)Grammar of text-semantic, CyberSocial intelligenceЧтениеAdditional ResourcesЧтение

What are Our Human Capacities to Mean in Binary Notation?

Stuff That Can Be Done with Binary Notation – Referencing AgencyВидеоStuff That Can Be Done with Binary Notation – Structuring MeaningВидеоStuff That Can Be Done with Binary Notation – Establishing Context and Determining InterestВидеоAdditional ResourcesЧтениеOptional Dialogue: Agency, Structure, Context, and Interest in Binary NotationDIALOGUEOptional Discussion: What You Can Mean That a Machine Cannot?Обсуждение
03Educational Data Mining10 материалов

What Can We Learn with Educational Data Mining (1)?

Educational Data Mining: Learning Interaction Data LogВидеоMethods and Applications: Part 1ВидеоOptional Dialogue: Interaction Log Data and Educational Data MiningDIALOGUEOptional Discussion: The Traces of Your Own LearningОбсуждение

What Can We Learn with Educational Data Mining (2)?

Methods and Applications: Part 2ВидеоMethods and Applications: Part 3ВидеоOptional Dialogue: Predicting and Discovering with Educational DataDIALOGUEOptional Discussion: Which Student Behaviors Should We Try to Understand?ОбсуждениеOptional Practice Essay: Learning from Learning Data ResponsiblyЗаданиеRequired Peer Review: Learning from Learning Data ResponsiblyВзаимная проверка
04Framing the AI Discussion20 материалов

Knowledge, Human Skill Acquisition, and Cognitive Structures

Knowledge Types, Knowledge Representation, & ReasoningВидеоModels of Human Skill AcquisitionВидеоCognitive StructuresВидеоOptional Dialogue: Knowledge, Skill, and Modeling the MindDIALOGUEOptional Discussion: A Skill You Learned, and How You Learned ItОбсуждение

Applications of AI to Education

Applications of AI to EducationВидео Applications of AI to Education: Building a Cognitive ModelВидеоOptional Dialogue: Inside an AI Tutoring SystemDIALOGUEOptional Discussion: Have You Ever Been Tutored by a Machine?Обсуждение

Promising Practices in Mobile Learning – How Could AI Help?

Promising Practices in Mobile Learning and How AI could HelpВидеоOptional Dialogue: How Can AI Help Make Mobile Learning Work?DIALOGUEOptional Discussion: Apps for Meaning-MakingОбсуждение

Back to the Future, or New Learning?

Back to Future or New Learning?ВидеоLosing our Minds? Towards CyberSocial Solutions for the Problem of #AIЧтениеOptional Dialogue: New Learning, or Old Forms on a Screen?DIALOGUEOptional Discussion: Old Forms on a Screen, or Something New?ОбсуждениеOptional Capstone Practice Essay: From Old Forms to New LearningЗаданиеRequired Capstone Peer Review: From Old Forms to New LearningВзаимная проверка
Optional Dialogue: Instances, Concepts, and Properties in Binary NotationDIALOGUE
Optional Discussion: Named, Classified, or MeasuredОбсуждение
Optional Practice Essay: Analyzing Meaning in a System You UseЗадание
Required Peer Review: Analyzing Meaning in a System You UseВзаимная проверка
Additional ResourcesЧтение
How was the course?PLUGIN