4,932 research outputs found

    The future of technology enhanced active learning – a roadmap

    Get PDF
    The notion of active learning refers to the active involvement of learner in the learning process, capturing ideas of learning-by-doing and the fact that active participation and knowledge construction leads to deeper and more sustained learning. Interactivity, in particular learnercontent interaction, is a central aspect of technology-enhanced active learning. In this roadmap, the pedagogical background is discussed, the essential dimensions of technology-enhanced active learning systems are outlined and the factors that are expected to influence these systems currently and in the future are identified. A central aim is to address this promising field from a best practices perspective, clarifying central issues and formulating an agenda for future developments in the form of a roadmap

    A generic architecture for interactive intelligent tutoring systems

    Get PDF
    This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 07/06/2001.This research is focused on developing a generic intelligent architecture for an interactive tutoring system. A review of the literature in the areas of instructional theories, cognitive and social views of learning, intelligent tutoring systems development methodologies, and knowledge representation methods was conducted. As a result, a generic ITS development architecture (GeNisa) has been proposed, which combines the features of knowledge base systems (KBS) with object-oriented methodology. The GeNisa architecture consists of the following components: a tutorial events communication module, which encapsulates the interactive processes and other independent computations between different components; a software design toolkit; and an autonomous knowledge acquisition from a probabilistic knowledge base. A graphical application development environment includes tools to support application development, and learning environments and which use a case scenario as a basis for instruction. The generic architecture is designed to support client-side execution in a Web browser environment, and further testing will show that it can disseminate applications over the World Wide Web. Such an architecture can be adapted to different teaching styles and domains, and reusing instructional materials automatically can reduce the effort of the courseware developer (hence cost and time) in authoring new materials. GeNisa was implemented using Java scripts, and subsequently evaluated at various commercial and academic organisations. Parameters chosen for the evaluation include quality of courseware, relevancy of case scenarios, portability to other platforms, ease of use, content, user-friendliness, screen display, clarity, topic interest, and overall satisfaction with GeNisa. In general, the evaluation focused on the novel characteristics and performances of the GeNisa architecture in comparison with other ITS and the results obtained are discussed and analysed. On the basis of the experience gained during the literature research and GeNisa development and evaluation. a generic methodology for ITS development is proposed as well as the requirements for the further development of ITS tools. Finally, conclusions are drawn and areas for further research are identified

    Open mentor: Supporting tutors with their feedback to students

    Get PDF
    Assessment is one of the major challenges for higher education today. This is partly because it traditionally squares the desire for improved constructivist learning against the demand for institutional reliability and accountability. The call for a pedagogically-driven model for e-Assessment was acknowledged as part of a vision for teaching and learning in 2014 (Whitelock and Brasher 2006). Experts believe that such a model will allow students in Higher Education to take more control of their learning and hence become more reflective. These are indeed laudable aims but how can they be implemented in practice? One of the problems with tutor feedback to students is that a balanced combination of socio-emotive and cognitive support is required from the teaching staff, and the feedback needs to be relevant to the assigned grade. Is it possible to capitalise on technology to build training systems for tutors in Higher Education, that will support them with their feedback to students, and which will encourage their students to become more reflective learners

    Virtual pedagogical model: development scenarios

    Get PDF
    info:eu-repo/semantics/publishedVersio

    Multimodal learning and teaching corpora exchange: Lessons learned in five years by the Mulce project

    Get PDF
    In order to make replication possible for interaction analysis in online learning, the French project named Mulce (2007-2010) and its team worked on requirements for research data to be shareable. We defined a learning and teaching corpus (LETEC) as a package containing the data issued from an online course, the contextual information and metadata, necessary to make these data visible, shareable and reusable. These human, technical and ethical requirements are presented in this paper. We briefly present the structure of a corpus and the repository we developed to share these corpora. Related works are also described and we show how conditions evolved between 2006 and 2011. This leads us to report on how the Mulce project was faced with four particular challenges and to suggest acceptable solutions for computer scientists and researchers in the humanities: both concerned by data sharing in the Technology Enhanced Learning community

    Construals as a complement to intelligent tutoring systems in medical education

    Get PDF
    This is a preliminary version of a report prepared by Meurig and Will Beynon in conjunction with a poster paper "Mediating Intelligence through Observation, Dependency and Agency in Making Construals of Malaria" at the 11th International Conference on Intelligent Tutoring Systems (ITS 2012) and a paper "Construals to Support Exploratory and Collaborative Learning in Medicine" at the associated workshop on Intelligent Support for Exploratory Environments (ISEE 2012). A final version of the report will be published at a later stage after feedback from presentations at these events has been taken into account, and the experimental versions of the JS-EDEN interpreter used in making construals have been developed to a more mature and stable form
    corecore