Interoperable Bayesian Agents for Collaborative Learning

Boff, Elisa; Santos, Elder Rizzon; Fagundes, Moser Silva; Vicari, Rosa María

doi:10.1109/icalt.2007.172

Cited by 2 publications

(2 citation statements)

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“…Since 2007, more related works are proposed in this field [17][18][19][20][21][22][23]. Chung Hsien Lan and etc.. adopt the specific assessment issues that include Creativity, Completeness, Execution, and Security, and extend the assessment agent by considering the effect of learning styles [18].…”

Section: Related Workmentioning

confidence: 99%

“…Chung Hsien Lan and etc.. adopt the specific assessment issues that include Creativity, Completeness, Execution, and Security, and extend the assessment agent by considering the effect of learning styles [18]. In order to provide a way to interoperate knowledge among the heterogeneous systems, Elisa Boff details the Social Agent, an agent to improve student's learning stimulating his interaction with other students, specially how this agent exchange bayesian knowledge among AMPLIA agents [19]. [17,20,22,23] present multi-agent approaches to collaborative learning system from respective ways.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Web-Based Collaborative Learning System and Its Key Techniques

Xia¹,

Wang²,

Yi³

et al. 2015

IJMUE

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On the basis of concept, characteristics and related work of collaborative learning, this paper proposes an intelligent web collaborative learning system prototype based on multi-agent technology. At first, the paper introduces a collaborative learning framework which supporting group learning and illustrates the whole learning process. Secondly, the paper presents some key issues to implementation of the virtual learning environment, such as intelligent grouping, automatic question answering, knowledge management, and opinion mining. Preliminary learning practice shows that it is a practical and efficient way.

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