Start with what the student knows or with what the student can imagine? (Kieran Egan)
5000 FREE SAT Words - Learn an Ivy League Vocabulary - SAT Prep Private Tutoring, Classes, Courses, Montgomery County, Maryland Tutor
A Periodic Table of Visualization Methods
BetterExplained | Understanding Beyond Your Textbook
Bloom\'s Taxonomy

* Learning Domains or Bloom\'s Taxonomy\x02\x02* The Three Types of Learning (cognitive, affective, psychomotor)

Bloom\'s Taxonomy
Chapter 2: Key Findings | How People Learn: Bridging Research and Practice
Children as Early Learners
Common sense in vocabulary learning
Economics of Learning
Formula for Human Genius and Creativity
Helping Your Child Learn Science
Houghton\'s critique of thinking categories, re: Bloom\'s taxonomy, LEAP model, etc.
Implementing a neural network for repetition spacing
Improving Memory by Morris Holland

Seven tips including distributed practice, overlearning for margin of forgetting, repetition, elaborative rehearsal, selective learning, anticipating exam questions as you study, active learning.

Justified Generalization: Acquiring Procedures from Examples (Andreae,P. M., 1985)

This thesis describes an implemented system called NODDY for acquiring procedures from examples presented by a teacher. Acquiring procedures from examples involves several different generalization tasks. Generalization is an underconstrained task, and the main issue of machine learning is how to deal with this underconstraint. The thesis presents two principles is to exploit domain based constraints. The second principle is to aviod spurious generalizations be requiring justification before adapting a generalization. NODDY demonstrates several different ways of justifying a generalization and proposes a way of ordering and searching a space of candidate generalizations based on how much evidence would be required to justify each generalization. Acquiring procedures also involves three types of constructive generalization: inferring loops ( a kind of group), inferring complex reactions and state variables, and inferring predicates. NODDY demonstrates three constructive generalization for these kinds of generalization. Keywords: Machine learning, Constraining generalization, Justification of generalization.*LEARNING MACHINES, *LEARNING, THESES, VARIABLES.

Knowledge structuring for learning
Language and technology: translation vs education dilemma
Learning From The Experts - The playful wisdom of children (Thomas Crum)
Learning to Read & Write in the Waldorf Schools

SteinerBooks: to unite the spirit in the human being with the spirit in the cosmos...

Memletics Accelerated Learning Manual\'s book contents. Includes free online content
Modern hypermedia systems in education
Molecular interpretation of mechanisms of memory underlying optimum repetition spacing
Neural Networks in Learning
North Carolina\'s Adaption of the Marzano Model of Learning, 1994
Solving Problems -Basic LEAP

This page divides problem solving into four major steps and in turn provides a wide range of desktop and Internet based tools for making progress at each of these four steps. It also provides links to the other major branches of the CROP (Communities Resolving Our Problems): Problem Sharing and Think.

Steroids - Introduction
Theoretical aspects of learning