The University of Southampton
University of Southampton Institutional Repository

Manifesto for learning: fundamental principles

Record type: Book

Drawing on their own and others’ research from all sectors of education, the authors show how good learning depends crucially on a few easily understood principles. These hold good regardless of the age or nature of the learner of the context in which the learner is working. Manifesto for Learning explains these principles and how to apply them, showing in the process how to make the vision of a lifelong learning society a reality.

Contents:

1. What is our Understanding of Learning
2. Learning in Infancy--A Model for Life?
3. How Can We Enhance Learning through Relationships?
4. Why does Communication Break Down
5. Learner Perspectives--Why start here?
6. Do Teachers' Perspectives Matter?
7. Collaborative Learning and Collaborative Teaching?
8. Collaborating in Learning Communities?
9. How does Talking About Communication Help?

Full text not available from this repository.

Citation

Collins, Janet, Harkin, Joe and Nind, Melanie (2002) Manifesto for learning: fundamental principles, London, GB, Continuum, 212pp.

More information

Published date: 1 July 2002
Keywords: learning, teaching, lifelong learning, collaborative learning, pedagogy

Identifiers

Local EPrints ID: 19232
URI: http://eprints.soton.ac.uk/id/eprint/19232
ISBN: 0826450962
PURE UUID: 2c4e8a50-c4a8-4a99-b917-659b05facac0
ORCID for Melanie Nind: ORCID iD orcid.org/0000-0003-4070-7513

Catalogue record

Date deposited: 24 Jan 2006
Last modified: 17 Jul 2017 16:32

Export record

Contributors

Author: Janet Collins
Author: Joe Harkin
Author: Melanie Nind ORCID iD

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×