The Open UniversitySkip to content

From design to narrative: the development of inquiry-based learning models

Conole, Grainne; Scanlon, Eileen; Kerawalla, Lucinda; Mulholland, Paul; Anastopulou, Stamatina and Blake, Canan (2008). From design to narrative: the development of inquiry-based learning models. In: World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA), 30 June - 4 July 2008, Vienna.

Full text available as:
PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (310Kb)
Google Scholar: Look up in Google Scholar


The University of Nottingham and the Open University are partners in a ca. £1.2m project to help school students learn the skills of modern science. The three-year project, Personal Inquiry (PI) (funded by the UK ESRC and EPSRC research councils), is developing a new approach of 'scripted inquiry learning', where children investigate a science topic with classmates by carrying out explorations between their classroom, homes and discovery centres, guided by a personal computer. This paper describes our progress to date on the development of four models for inquiry-based learning, as part of the PI project. These are being used as the basis for the development of educational scenarios and associated scripts to explore the use of mobile technologies in supporting an inquiry-based approach to teaching Scientific thinking across formal and informal learning.

Item Type: Conference Item
Keywords: inquiry-based learning; model; design; personalised learning;
Academic Unit/Department: Institute of Educational Technology
Education and Language Studies
Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Childhood Studies
Centre for Research in Computing (CRC)
Item ID: 15267
Depositing User: Grainne Conole
Date Deposited: 24 Mar 2009 09:45
Last Modified: 15 Jul 2016 05:57
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340