Hybrid model for learner modelling and feedback prioritisation in exploratory learning
نویسندگان
چکیده
منابع مشابه
Hybrid model for learner modelling and feedback prioritisation in exploratory learning
Individual and/or hybrid AI techniques are often used in learning environments for well-structured domains to perform learner diagnosis, create and update a learner model and provide support at the individual or group level. This paper presents a conceptual model that employs a synergistic approach based on Case-Based Reasoning (CBR) and Multicriteria Decision Making (MDM) components for learne...
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Exploratory learning supports creative thinking, allowing learners to control their own learning process, whilst it provides them with help and guidance when necessary. This pedagogical approach emphasises learners’ active involvement in authentic activities/tasks that simulate real world processes and has been applied to several domains. In this paper we propose a framework for learner modelli...
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Most of the existing learning environments work in wellstructured domains by making use of or combining AI techniques in order to create and update a learner model, provide individual and/or collaboration support and perform learner diagnosis. In this paper we present an approach that exploits the synergy of case-base reasoning and soft-computing for learner modelling in an ill-structured domai...
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By their nature, Exploratory Learning Environments allow a high degree of freedom which leads to a diversity of learner trajectories and make the modelling of all possible behaviours difficult. To address this, we propose an approach for knowledge representation and identification of task-dependent strategies that learners follow during exploration. The knowledge representation combines heterog...
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ژورنال
عنوان ژورنال: International Journal of Hybrid Intelligent Systems
سال: 2009
ISSN: 1875-8819,1448-5869
DOI: 10.3233/his-2009-0097