Learning theory

Abstract: 1. Making Meaning: The Dynamics of Learning. 2. Meaning Perspectives: How We Understand Experience. 3. Intentional Learning: A Process of Problem Solving. 4. Making Meaning Through Reflection. 5. Distorted Assumptions: Uncovering Errors in Learning. 6. Perspective Transformation: How Learning Leads to Change. 7. Fostering Transformative Adult Learning.

Abstract: Statistical learning theory was introduced in the late 1960's. Until the 1990's it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990's new types of learning algorithms (called support vector machines) based on the developed theory were proposed. This made statistical learning theory not only a tool for the theoretical analysis but also a tool for creating practical algorithms for estimating multidimensional functions. This article presents a very general overview of statistical learning theory including both theoretical and algorithmic aspects of the theory. The goal of this overview is to demonstrate how the abstract learning theory established conditions for generalization which are more general than those discussed in classical statistical paradigms and how the understanding of these conditions inspired new algorithmic approaches to function estimation problems.

Abstract: This edition reflects the latest work and advances in adult learning theory. Readers learn to develop meaningful programmes and use new techniques for effectively teaching adults. After examining the various theories of learning, the book presents the reasons why teaching adults is so different than teaching children. The book contains 13 appendices (100 pages) which give an overview of brain dominance technology and whole-brain thinking. There is also a self-diagnostic tool (photocopiable) for determining the competency of trainers, guidelines for learning contracts and ideas on how to switch from being a teacher to being a "facilitator of learning".

Abstract: Even a casual reading of the extensive literature on student development in higher education can create confusion and perplexity. One finds not only that the problems being studied are highly diverse but also that investigators who claim to be studying the same problem frequently do not look at the same variables or employ the same methodologies. And even when they are investigating the same variables, different investigators may use completely different terms to describe and discuss these variables. My own interest in articulating a theory of student development is partly practical—I would like to bring some order into the chaos of the literature—and partly self-protective. I and increasingly bewildered by the muddle of f indings that have emerged from my own research in student development, research that I have been engaged in for more than 20 years. The theory of student involvement that I describe in this article appeals to me for several reasons. First, it is simple: I have not needed to draw a maze consisting of dozens of boxes interconnected by two-headed arrows to explain the basic elements of the theory to others. Second, the theory can explain most of the empirical knowledge about environmental influences on student development that researchers have gained over the years. Third, it is capable of embracing principles from such widely divergent sources as psychoanalysis and classical learning theory. Finally, this theory of student involvement can be used both by researchers to guide their investigation of student development—and by college administrators and