A REVIEW OF EDUCATIONAL RECOMMENDER SYSTEMS FOR TEACHERS

Mbarek Dhahri, Mohamed Koutheair Khribi
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引用次数: 5

Abstract

Recommender Systems (RS) in e-learning has attracted several researchers aiming basically at scaffolding learners in locating relevant learning resources that meet their learning needs and profiles. Whereas a number of review studies have been carried out in the area of educational recommender systems, there is a limited information in the literature review in the specific domain of recommendation systems for teachers. The objective of this work is to summarize the current research efforts in the field of teacher-oriented recommender systems. By performing this systematic review, 32 papers were selected for further analysis. The obtained results show that educational portals and repositories are widely used as learning environments where recommendations occur. The finding of this review further show that personalized recommendations for teachers and teaching practices improvements are the main issues addressed by RS for teachers. Furthermore, the hybrid approach for recommendation and the evaluation by experiment are the most used, occurring in 43,75% of the selected reviewed papers. We are availing the key findings of this work to propose a teacher recommender system that provides teachers with the most relevant open educational resources (OER) retrieved from collections of resources aligned to the UNESCO ICT Competency Framework for Teachers (CFT).
教师教育推荐系统综述
电子学习中的推荐系统(RS)吸引了许多研究者,其主要目的是帮助学习者找到满足其学习需求和概况的相关学习资源。虽然在教育推荐系统领域已经开展了大量的综述研究,但在教师推荐系统这一特定领域的文献综述中,信息有限。本工作的目的是总结当前在面向教师的推荐系统领域的研究成果。通过系统评价,我们选择了32篇论文进行进一步分析。获得的结果表明,教育门户和存储库被广泛用作产生推荐的学习环境。本综述的发现进一步表明,个性化的教师建议和教学实践的改进是RS为教师解决的主要问题。此外,推荐和实验评价的混合方法使用最多,占选定评审论文的43.75%。我们正在利用这项工作的主要发现,提出一个教师推荐系统,为教师提供从符合教科文组织教师ICT能力框架(CFT)的资源集合中检索的最相关的开放教育资源(OER)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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