Does 'Notice' Prompt Noticing? Raising Awareness in Language Learning with an Open Learner Model

Authors:
Gheida Shahrour;Susan Bull
Affiliations:
Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.;Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.
Venue:
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2008

Citing 3
Cited 3

STyLE-OLM: Interactive Open Learner Modelling

International Journal of Artificial Intelligence in Education - "Caring for the Learner" in honour of John Self
Interacting with Inspectable Bayesian Student Models

International Journal of Artificial Intelligence in Education
Evaluating the Effect of Open Student Models on Self-Assessment

International Journal of Artificial Intelligence in Education

Supporting Interaction Preferences and Recognition of Misconceptions with Independent Open Learner Models

AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
An infrastructure for creating graphical indicators of the learner profile by mashing up different sources

Proceedings of the International Conference on Advanced Visual Interfaces
GVIS: a facility for adaptively mashing up and representing open learner models

EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice

Quantified Score

Hi-index	0.00

Visualization

Abstract

Open learner models (OLM) are learner models that are accessible to the learner they represent. Many examples now exist, often with the aim of prompting learner reflection on their knowledge. In language learning, this relates to research on noticing and awareness-raising. We here introduce an open learner model to investigate the potential of OLMs to facilitate noticing. Results suggest that an OLM could be a useful way of helping students to notice language features, with all students noticing some of the features tested, a result that was maintained in a delayed post-test one week after the experimental session.