Titlebook: Advances in Social Computing and Digital Education; 7th International Wo Fernando Koch,Andrew Koster,Christian Guttmann Conference proceedi

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https://doi.org/10.1007/978-1-4757-0641-3alize tag-based search in E-learning folksonomy by extract implicitly the semantics of learners’ tags. In this context, a social personalized ranking function is proposed; this function leverages the social aspect of folksonomy and events detection to estimate the relevance of given resources to a tag-based query issued by learners.

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https://doi.org/10.1007/978-3-319-39994-2ed on an algorithm which uses genetic notions. This model has several domains of applicability, one of the main being assessment within education. Also, it consists in a structure of a future web application which will use technology-based means for the assessment of students and which will be described in detail in the work.

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Group Recommendation System for E-Learning Communities: A Multi-agent Approach,e same time frame. We implement a multi-agent model to simulate the behaviors of those students and generate recommendations accordingly. By splitting the machine learning process across multiple intelligent agents, we found that our method managed to generate accurate recommendations.

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Forming Tests from Questions with Different Theoretical and Practical Degree,ed on an algorithm which uses genetic notions. This model has several domains of applicability, one of the main being assessment within education. Also, it consists in a structure of a future web application which will use technology-based means for the assessment of students and which will be described in detail in the work.

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