Learner Trust in Learner Model Externalisations
Norasnita Ahmad,Susan Bull +1 more
- 20 Jul 2009
- pp 617-619
23
TL;DR: In this paper, an open learner model, called t-OLM, was introduced to investigate user trust in a range of learner models externalisations, and found that while sufficient levels of use were made to suggest user trust, the relationship between trust and perceived utility, perceived accuracy, and level of understanding of the model representations is not straightforward.
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Abstract: This paper introduces t-OLM, an open learner model to investigate user trust in a range of learner model externalisations. It was found that, while sufficient levels of use were made to suggest user trust in an externalised learner model, the relationship between trust and perceived utility, perceived accuracy, and level of understanding of the model representations, is not straightforward.
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Citations
Open Learner Models
Susan Bull,Judy Kay +1 more
- 01 Jan 2010
TL;DR: The range of purposes that Open Learner Models can serve are described, illustrating these with diverse examples of the ways that they have been made available in several research systems.
254
Uncertainty Representation in Visualizations of Learning Analytics for Learners: Current Approaches and Opportunities
Carrie Demmans Epp,Susan Bull +1 more
TL;DR: It is described how uncertainty information can be added to visualizations of educational data and illustrated these opportunities by augmenting several of the types of visualizations that are found in existing learning analytics reports.
Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Courses
Susan Bull,Peter Gardner,Norasnita Ahmad,Jeffrey Ting,Ben Clarke +4 more
- 01 Sep 2009
TL;DR: Two independent open learner models (learner models that are accessible to user viewing), which are deployed alongside university courses to facilitate self-assessment skills, planning and independent learning, are introduced.
38
A Preliminary Study of Open Learner Model Representation Formats to Support Formative Assessment
Check-Yee Law,John Grundy,Andrew Cain,Rajesh Vasa +3 more
- 01 Jul 2015
TL;DR: This paper proposes a range of open learner model representation formats to display students' learning task status and achievement in terms of learning outcomes and investigates different types of representation formats and data useful for users to inspect the learNER model.
20
•Book
Intelligent tutoring systems : 11th International Conference, ITS 2012, Chania, Crete, Greece, June 14-18, 2012 : proceedings
Stefano A. Cerri,William J. Clancey,Giorgos Papadourakis,Kitty Panourgia +3 more
- 14 Jun 2012
TL;DR: This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Tutoring Systems, ITS 2012, held in Chania, Crete, Greece, in June 2012, and contains 28 revised full papers, 50 short papers, and 56 posters presented.
15
References
•Proceedings Article
Learner Know Thyself: Student Models to Give Learner Control and Responsibility
Judy Kay
- 01 Jan 1997
TL;DR: An approach to student modelling where the student can delve into the student model is described, which serves as a basis for planning learning goals, improving communication between the teaching system and the learner, and as an aid to reflection about learning.
160
Do Students Trust Their Open Learner Models
Norasnita Ahmad,Susan Bull +1 more
- 29 Jul 2008
TL;DR: This work investigates learner trust in various OLM features: the complexity of the model presentation; the level of learner control over the model contents; and the facility to release one's own model for peer viewing.
14
Student preferences for editing, persuading, and negotiating the open learner model
Andrew Mabbott,Susan Bull +1 more
- 26 Jun 2006
TL;DR: Results indicate that many students are less comfortable having direct control over the content of their learner model than in situations where the system has the final say over proposed changes.
Computer-based formative assessment to promote reflection and learner autonomy
Susan Bull,Steven F. Quigley,Andrew Mabbott +2 more
- 01 Jun 2006
TL;DR: A computer-based system primarily for formative assessment to help learners identify their knowledge, difficulties and misconceptions in a subject in order that they can focus their efforts where most required, thus encouraging learner autonomy.