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  1. No Access

    Chapter and Conference Paper

    The Use of Conceptual Graphs for Interactive Student Modelling and Adaptive Web Explanations

    The paper discusses the use of domain ontologies encoded with conceptual graphs in two recent works in Artificial Intelligence in Education and Natural Language Processing: STyLE-OLM (an interactive learner mo...

    Vania Dimitrova, Kalina Bontcheva in Knowledge-Based Intelligent Information an… (2003)

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    Chapter and Conference Paper

    Using Fuzzy Techniques to Model Students in Web-Based Learning Environments

    The paper illustrates how fuzzy techniques can be used to address problems experienced in widespread computing systems for distance learning. We have developed the TADV (Teacher ADVisor) framework, which build...

    Essam Kosba, Vania Dimitrova, Roger Boyle in Knowledge-Based Intelligent Information an… (2003)

  3. No Access

    Chapter and Conference Paper

    Adult Self-regulated Learning through Linking Experience in Simulated and Real World: A Holistic Approach

    This research considers the application of simulated environments for adult training, and adopts the view that effective adaptive solutions for adults should be underpinned by appropriate adult learning theori...

    Sonia Hetzner, Christina M. Steiner, Vania Dimitrova… in Towards Ubiquitous Learning (2011)

  4. No Access

    Chapter and Conference Paper

    I-CAW: Intelligent Data Browser for Informal Learning Using Semantic Nudges

    This demonstration will present a system, called I-CAW, which aggregates content from social spaces into a semantic-enriched data browser to promote informal learning. The work pioneers a new way to interact w...

    Dhavalkumar Thakker, Vania Dimitrova… in Knowledge Engineering and Knowledge Manage… (2012)

  5. No Access

    Chapter and Conference Paper

    Taming Digital Traces for Informal Learning: A Semantic-Driven Approach

    Modern learning models require linking experiences in training environments with experiences in the real-world. However, data about real-world experiences is notoriously hard to collect. Social spaces bring ne...

    Dhavalkumar Thakker, Dimoklis Despotakis… in 21st Century Learning for 21st Century Ski… (2012)

  6. No Access

    Chapter and Conference Paper

    Semantic Social Sensing for Improving Simulation Environments for Learning

    The rapidly growing learning simulations market calls urgently for innovative ways to facilitate the simulation design process [1],[2]. Social spaces can provide an extensive source of reports on individuals’ ...

    Vania Dimitrova, Christina M. Steiner… in Scaling up Learning for Sustained Impact (2013)