Learning

A view from the balcony

Gustave Caillebotte

Learning

The Varieties of Learning Experience

Emotional

Cognitive

Physical

Sensory

Social/EI

DNA, innate, inherited

Person World

Know whoKnow how

Know where...

Co-creation

For example:• learning to talk• learning to crawl• learning your ABCs• learning to fear the number 13• learning to meditate• learning to speak French• learning the way to the store• learning who to trust• learning with my pal Sally• learning how to sell• learning Ruby on Rails• learning where the answers are• learning to negotiate• learning to play piano• learning to rollerblade• learning to taste wine critically• learning to cook bread• learning to lead effectivelyLearning is adaptation.

Evolution

EvolutionLearning = Adaptation

Fit with the ecosystems that matter to you.

Optimal connections to people and knowledge.

Are your people learning and growing fast enough to be successful in the future?

YesAre your people learning and growing fast enough to be successful in the future?

Forgetting Curve

Retention

with reinforcement

Effect of reinforcement

Retention

with reinforcement

Pull Learning

Active learner

Learner defines content

Conversation & discovery

Competence

Independence

Learn in groups

Knowledge is transitory

Push Learning

Passive student

Others set curriculum

Courses, workshops

Grades

Obedience

Learn on your own

Unchanging knowledge

Act now Learn what youneed to know

Unlearn what’sobsolete

Get rid of what you no longer need

Learning

Education

Transcript of Learning

LEARNING ABOUT LEARNING Learning Communities in Higher Education.

Deep Learning for Reinforcement Learning in Pacman · Deep Learning for Reinforcement Learning in Pacman Deep Learning für Reinforcement Learning in Pacman Vorgelegte Bachelor-Thesis

Learning from observations Inductive Learning - learning from examples Machine Learning.

Learning organizations, ideal organizations, learning, Single loop learning, Double – loop learning, Organizational Learning, Traditional organization,

Grundtvig Learning Partnership 2011-2013 LIFELONG LEARNING PROGRAMME GRUNDTVIG LEARNING PARTNERSHIP LEARNING PARENTS.

Guided Learning Projects Messy Learning – Real Learning – Successful Learning.

Professional Learning in the Learning Profession - Learning Forward

· The learning where learner uses multimedia learning environments. This type of learning relies on dual-coding theory. 3.3.1 e-Learning and m-Learning Electronic learning or e-learning

E-LEARNING , B-LEARNING Y M-LEARNING

Learning and Knowledge Microlearning 2006. Business is learning Life is learning Education is learning Aging is learning What isnt learning???

Learning Reinforcement Learning by Learning REINFORCE

Eick: Reinforcement Learning. Reinforcement Learning Introduction Passive Reinforcement Learning Temporal Difference Learning Active Reinforcement Learning.

LEARNING Chapter: Learning

machine Learning Learning

Unsupervised Learning Learning Unsupervised...Unsupervised Learning and Data Mining Learning Mining Unsupervised Learning and Data Mining Unsupervised Data Clustering Supervised Learning

Learning Styles and Learning Spaces: Using Learning Style ...

Deep Learning Feature Learning Representation Learning Generative Learning

Learning Before Learning During Learning After

Learning What is learning? Classical Conditioning Operant Conditioning Applications of learning Cognitive Learning.

EDFD 302 MGMSANTOS Learning Models. Learning Models: Mastery Learning Discovery Learning Guided Discovery Learning Meaningful Reception Learning.