A Social Approach to High-Level Context Generation for Supporting Context-Aware M-Learning

Autor/inn/en	Pan, Xu-Wei; Ding, Ling; Zhu, Xi-Yong; Yang, Zhao-Xiang
Titel	A Social Approach to High-Level Context Generation for Supporting Context-Aware M-Learning
Quelle	In: EURASIA Journal of Mathematics, Science & Technology Education, 13 (2017) 7, S.3675-3686 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1305-8223
Schlagwörter	Electronic Learning; Social Media; Educational Environment; Models; Simulation; Accuracy; Student Developed Materials; Recall (Psychology); Foreign Countries; China + Suchen Sie Ihr Suchwort? Soziale Medien; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Analogiemodell; Simulation program; Simulationsprogramm; Abberufung; Ausland
Abstract	In m-learning environments, context-awareness is for wide use where learners' situations are varied, dynamic and unpredictable. We are facing the challenge of requirements of both generality and depth in generating and processing high-level context. In this paper, we present a social approach which exploits social dynamics and social computing for generating high-level context. It is a novel and generic paradigm where the crowds of learners in m-learning environments directly engage in creating contents about high-level context and interactions by social tagging, and these contents and interactions are further explored to discover more implicit and complex high-level contextual information. We present the concept model, the context representation, the context matrix, and the context retrieval method. We evaluate our approach by a social simulation-based experiment. The experimental results demonstrate that the context retrieval performance is improved in both the accuracy and the diversity, and validate that the proposed social approach is effective for generating high-level context. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01