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Title:
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ONTOLOGY MODEL FOR SMART OPEN LEARNING ENVIRONMENT BASED ON COPUTATIONAL THINKING |
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Author(s):
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Bènène Fradi and Lilia Cheniti-Belcadhi |
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ISBN:
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978-989-8704-44-3 |
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Editors:
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Hans Weghorn and Pedro Isaias |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Smart Open Learning Environment, Computational Thinking, Ontology, OLM, Open Education Resource, Adaptive Self-Regulated Learning |
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Type:
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Full Paper |
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First Page:
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79 |
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Last Page:
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86 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Due to the rapid development of innovative technologies, current digital society faces challenges for changing the environment. Constructing and applying Smart Learning Environments (SLEs) has emerged for supporting knowledge representation and learning content creation. In this paper, we focus on Smart Open Learning Environment (SOLE) that provide adaptive self-regulate learning based on Computational Thinking (CT). This contribution describes the progress of a pedagogical scenario promoted by Open Learner Model (OLM) to enhance CT through a SOLE that aims to support the learning process and to provide Adaptive Self-Regulated Learning. In this paper, we present our work, which takes advantage of different technologies such as ontology, Learning Analytic for a SOLE in order to be better managed and to offer more flexibility and comfort. Subsequently, we describe a learning scenario through SOLE and we propose a model for it that describes the interaction of its components. Then we propose different ontological models for the semantic of SOLE and we detail OLM ontology. We aim to deliver open content, which is adapted to specific learner context, profile, progress and CT's Level in the learning process. |
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