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ERIC Number: EJ1046298
Record Type: Journal
Publication Date: 2014
Pages: 18
Abstractor: As Provided
Reference Count: 18
ISBN: N/A
ISSN: ISSN-1049-4820
Using Machine-Learning and Visualisation to Facilitate Learner Interpretation of Source Material
Wolff, Annika; Mulholland, Paul; Zdrahal, Zdenek
Interactive Learning Environments, v22 n6 p771-788 2014
This paper describes an approach for supporting inquiry learning from source materials, realised and tested through a tool-kit. The approach is optimised for tasks that require a student to make interpretations across sets of resources, where opinions and justifications may be hard to articulate. We adopt a dialogue-based approach to learning whereby the student creates an external representation to reflect their current understanding of the task. This in turn prompts immediate feedback, designed to help the learner to see patterns or irregularities in their current perspective. Through the on-going feedback, the student is encouraged to make incremental changes to achieve a coherent outcome. In this approach, learners are encouraged to generate meaningful responses for themselves, rather than relying on feedback which explicitly provides an answer. This is aimed at prompting deeper processing and understanding of source materials in the context of the given learning goal.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom