Interfaces for Inspectable Learner Models

Bull, Susan; Mabbott, Andrew; Johan, Rasyidi; Johnson, Matthew; Lee-Shim, Kris; Lloyd, Tim

doi:10.1007/978-3-642-13437-1_43

Intelligent Tutoring Systems

2010

DOI: 10.1007/978-3-642-13437-1_43

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Interfaces for Inspectable Learner Models

Susan Bull

Andrew Mabbott

Rasyidi Johan

et al.

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Cited by 3 publications

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Intelligent techniques in e-learning: a literature review

Ilić¹,

Mikić²,

Kopanja³

et al. 2023

Artif Intell Rev

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Online learning has become increasingly important, having in mind the latest events, imposed isolation measures and closed schools and campuses. Consequently, teachers and students need to embrace digital tools and platforms, bridge the newly established physical gap between them, and consume education in various new ways. Although literature indicates that the development of intelligent techniques must be incorporated in e-learning systems to make them more effective, the need exists for research on how these techniques impact the whole process of online learning, and how they affect learners’ performance. This paper aims to provide comprehensive research on innovations in e-learning, and present a literature review of used intelligent techniques and explore their potential benefits. This research presents a categorization of intelligent techniques, and explores their roles in e-learning environments. By summarizing the state of the art in the area, the authors outline past research, highlight its gaps, and indicate important implications for practice. The goal is to understand better available intelligent techniques, their implementation and application in e-learning context, and their impact on improving learning in online education. Finally, the review concludes that AI-supported solutions not only can support learner and teacher, by recommending resources and grading submissions, but they can offer fully personalized learning experience.

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Intelligent techniques in e-learning: a literature review

Ilić¹,

Mikić²,

Kopanja³

et al. 2023

Artif Intell Rev

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From Interactive Open Learner Modelling to Intelligent Mentoring: STyLE-OLM and Beyond

Dimitrova

Brna

2015

Int J Artif Intell Educ

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STyLE-OLM (Dimitrova 2003 International Journal of Artificial Intelligence in Education, 13, 35-78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can inspect, discuss and alter the learner model that has been jointly constructed by themselves and the system. This paper outlines the STyLE-OLM framework and reflects on the key challenges it addressed: (a) the design of an appropriate communication medium; this was addressed by proposing a structured language using diagrammatic representations of conceptual graphs; (b) the management of the interaction with the learner; this was addressed by designing a framework for interactive open learner modelling dialogue utilising dialogue games; (c) the accommodation of different beliefs about the learner's domain model; this was addressed with a mechanism for maintaining different views about the learner beliefs which adapted belief modal logic operators; and (d) the assessment of any resulting improvements in learner model accuracy and learner reflection; this was addressed in a user study with an instantiation of STyLE-OLM for diagnosing a learner's knowledge of finance concept, as part of a larger project that developed an intelligent system to assist with learning domain terminology in a foreign language. Reviewing follow on work, we refer to projects by the authors' students and colleagues leading to further extension and adoption of STyLE-OLM, as well as relevant approaches in open learner modelling which have cited the STyLE-OLM framework. The paper points at outstanding research challenges and outlines future a research direction to extend interactive open learner modelling towards mentor-like intelligent learning systems.

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There are Open Learner Models About!

Bull¹

2020

IEEE Trans. Learning Technol.

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Interfaces for Inspectable Learner Models

Cited by 3 publications

References 2 publications

Intelligent techniques in e-learning: a literature review

Intelligent techniques in e-learning: a literature review

From Interactive Open Learner Modelling to Intelligent Mentoring: STyLE-OLM and Beyond

There are Open Learner Models About!

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