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Recommending Teachers for Collaborative Authoring Tools

机译:推荐教师使用协作创作工具

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This paper presents a recommendation algorithm that suggests relevant collaborative teams of teachers to the coordinators of courses or units of learning. This work is motivated by the need of automating and facilitating the search of experts that could contribute to the design and development of units of learning in collaborative authoring tools. The proposed algorithm solves a set covering problem by following a greedy approach that maximizes a Gaussian cost function. The results show that the recommended collaborative teams are optimal in terms of precision, but should be improved in terms of coverage and recall.
机译:本文提出了一种推荐算法,向课程或学习单位的协调员建议相关的教师协作团队。这项工作的动机是需要自动化和便利寻找专家,这可能有助于协作创作工具中学习单元的设计和开发。所提出的算法通过遵循最大化高斯成本函数的贪婪方法来解决集合覆盖问题。结果表明,推荐的协作团队在准确性方面是最佳的,但在覆盖率和召回率方面应该得到改善。

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