Copy the page URI to the clipboard
Mulholland, Paul; Zdrahal, Zdenek; Abrahamcik, Jan and Wolff, Annika
(2009).
DOI: https://doi.org/10.3233/978-1-60750-028-5-417
URL: http://www.iospress.nl/html/9781607500285.php
Abstract
Inquiry learning involves the learner acquiring new concepts and skills by means of carrying out an investigation. Some previous studies have looked into how these learning activities can be carried out on source materials, such as web documents, and the provision of appropriate scaffolding to guide the learning process. Here we consider how intelligent support can be provided to guide the learner in analysing source materials and building knowledge from their interpretation. An important feature of our case study is that the source materials are images, potentially having greater variation in how they are interpreted and therefore increasing the need for intelligent support. Intelligent support provided by our system can identify patterns and inconsistencies in the learner’s interpretation and knowledge building, and offer recommendations based on comparison with a reference model. The recommendations derived from a reference model aim to guide the learner in reviewing and revising their interpretation of the images and the implications of these for their inferences, rather than directly providing a “right” or “wrong” evaluation of their answer.
Viewing alternatives
Download history
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 24923
- Item Type
- Conference or Workshop Item
- Extra Information
-
Frontiers in Artificial Intelligence and Applications v.200
ISSN 0922-6389
Artificial Intelligence in Education - Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Edited by Vania Dimitrova, Riichiro Mizoguchi, Benedict du Boulay, Art Graesser
ISBN 978-1-60750-028-5 - Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2009 The authors and IOS Press
- Depositing User
- Kay Dave