QUT ePrints

A model for exploring a broad ecology of learning and knowing

Mason, Jon (2008) A model for exploring a broad ecology of learning and knowing. In Chang, Ben & So, Hyo-Jeong (Eds.) Workshop Proceedings : Supplementary Proceedings of the 16th International Conference on Computers in Education, Asia-Pacific Society for Computers in Education (APSCE), National Central University, Taipei, Taiwan, pp. 194-203.

[img] Accepted Version (PDF 100kB)
Available to QUT staff and students only | Request a copy from author
Available under License Creative Commons Attribution No Derivatives 2.5.

View at publisher

Abstract

This paper proposes a model that can be used to inform a strategic approach for the design, development, implementation and application of e-learning standards. It presents a working hypothesis that models the “problem space” spanning e-learning and knowledge management in holistic, but simple terms. It does this by placing emphasis on the interrelationships between learning, knowing, and thinking within the context of a set of “primitive” questions: Who, What, When, Where, How, Why, and If. As such, it suggests a broad “ecology” of context. By concentrating on these primitive questions a degree of simplicity can be achieved while not masking the richness and complexity that must be accommodated. This approach highlights opportunities for future design and implementation of ICT systems developed to support learning and the creation and management of knowledge. Particular attention is placed upon Why questions as pivotal to sense-making.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 17805
Item Type: Conference Paper
Keywords: e-learning, knowledge management, knowledge representation, metadata, sense-making
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > EDUCATION SYSTEMS (130100) > Education Systems not elsewhere classified (130199)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > SPECIALIST STUDIES IN EDUCATION (130300) > Educational Technology and Computing (130306)
Divisions: Current > QUT Faculties and Divisions > Faculty of Education
Past > Institutes > Institute for Creative Industries and Innovation
Copyright Owner: Copyright 2008 Jon Mason
Deposited On: 30 Jan 2012 08:02
Last Modified: 30 Jan 2012 08:02

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page