LEARNING

LEARNING INTELLIGENCE ENVIRONMENT

Research and Development base on conventional method with fully support by Biotechnology

Discipline (Knowledge Category)

Discipline 1 E- Learning Knowledge Metric Profile Discipline 2 Knowledge Inventory (The Matrix) IDP Problem Base Learning Discipline 3 Discipline 4 Virtual Learning Development Records Performance Expectation Discipline 5 System shall recommend suitable learning channel

E- Learning Link to International E-Learning Website http://www.upov.org/en/about/training.html

E- Learning Link to EWS Academy (Via crop U)Website http://www.corpu.com/what-we-do/

E- Learning Link to WageningenUniversity database http://www.wageningenuniversity.nl/NL/

Problem Base Learning - 1 1. System accumulate real problem in field 2. User shall access via their own Laptop 3. System simulate problem and constraints 4. User learn from real case under their knowledge 5. System shall recommend more knowledge source to user Knowledge Inventory - Problem cases • Example • Impact problem • on Plant Breeder • No enough space for planting • Non uniformity of parental line On field incidents

Problem Base Learning - 2 TH Protocol 1 PH Learn & propose own protocol Develop Protocol 2 Knowledge Inventory - Critical Problem CHINA Develop Protocol 3 Develop INDO INDIA

Virtual Learning

LEARNING

LEARNING

Presentation Transcript

Learning and Lifelong learning

Learning About Learning

Reinforcement Learning : Learning Algorithms

e-Learning B-Learning

Learning E-Learning: Introduction

Blended Learning , Better Learning

Learning and Learning LiveCode

Learning styles Learning Preferences Learning Strategies

Learning about learning

Learning about learning

Mobility + Learning = Mobile Learning

Machine learning: Unsupervised learning

Active Learning = Deep Learning

Learning and Learning Disabilities

Learning II - Operant Learning

Learning Unit – learning consultant

Learning inside, learning outside

Learning Teaching Teaching Learning

Learning Technologies E-Learning