Does peer assessment in on-line learning environments work? A systematic review of the literature

There is an increase use of Peer Assessment (PA) approaches in On-line Learning Environments to support students and teachers on educational process. However, the community still lacks a comprehensive understanding of how Peer Assessment behaves within these educational environments, since there are no studies that make an analysis of the researches which has been conducted in this context, analysing the benefits and disadvantages of the use of Peer Assessment. Thus, the main goal of this work is to investigate and better understand how PA contributes in student learning as well as can bring benefits to the teachers involved. In order to meet our goal, we conducted a systematic literature review (SLR). In summary, the main findings are: (1) there are empirical evidences of the benefits of using PA in both industry and academy, and in several educational levels; (2) PA is most addressed to the correction of written activities on on-line courses; (3) About 60% of the articles showed PA improvement in student performance; (4) About 1/3 of the studies showed PA brings some benefits to teachers; (5) In some studies the use of the PA had difficulties, especially issues related to student motivation, which impairs the peer review process.     

面向微服务架构的开发组织适应性评估框架

目前,一种称为微服务的架构风格正受到越来越多的关注.它给软件项目带来好处的同时,也影响着使用微服务架构的开发组织.研究目的是明确微服务的使用对开发组织产生了哪些影响,这些影响对于组织来说是优势还是挑战.对此进行了 一次系统文献综述,并通过元-民族志对定性数据进行合成,最终得出了使用微服务架构对组织产生影响的7个方面,分...     

The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review

Functional Magnetic Resonance Imaging (fMRI) is presently one of the most popular techniques for analysing the dynamic states in brain images using various kinds of algorithms. From the last decade, there is an exponential rise in the use of the machine and deep learning algorithms of artificial intelligence for analysing fMRI data. However, it is a big challenge for every researcher to choose a suitable machine or deep learning algorithm for analysing fMRI data due to the availability of a large number of algorithms in the literature. It takes much time for each researcher to know about the various approaches and algorithms which are in use for fMRI data. This paper provides a review in a systematic manner for the present literature of fMRI data that makes use of the machine and deep learning algorithms. The major goals of this review paper are to (a) identify machine learning and deep learning research trends for the implementation of fMRI; (b) identify usage of Machine Learning Algorithms and deep learning in fMRI, and (c) help new researchers based on fMRI to put their new findings appropriately in existing domain of fMRI research. The results of this systematic review identified various fMRI studies and classified them based on fMRI types, mental diseases, use of machine learning and deep learning algorithms. The authors have provided the studies with the best performance of machine learning and deep learning algorithms used in fMRI. The authors believe that this systematic review will help incoming researchers on fMRI in their future works.     

经验研究中情景感知需求获取与建模系统文献综述

情景感知（context aware）的应用是当前的一个研究热点,但由于情景的复杂性和不确定性,如何获取这些应用的需求面临着巨大挑战,需求工程领域出现了大量的研究来解决这个挑战.使用系统文献综述（systematic literature review）的方法首先分析了不同情景维度对于需求获取与建模的支持;统计并深入分析情景感知的需求获取与建模中常用的方法;评估了不同经验方法的技术转移成熟度.最后,基于上述结论,给出了情景感知的需求获取与建模下一步的研究方向.     

从Docker容器看容器技术的发展: 一种系统文献综述的视角

近些年,软件构造、运行和演化过程面临着诸多新需求,例如开发测试环境需要高效切换或配置、应用隔离、减少资源消耗、提高测试和部署效率等,给开发人员开发和维护软件带来了巨大的负担.容器技术有希望将开发人员从繁重的开发运维负担中解脱出来,尤其是Docker作为目前工业界的容器行业标准,近年来逐渐成为学术界一个热门的研究领域.为了帮助研究人员全面准确地理解当前Docker容器研究的现状和趋势,使用系统文献综述(systematic literature review)的方法搜集了75篇该领域最新的高水平论文,进行了详细的分析和总结.首先,使用定量研究方法调查了Docker容器研究的基本现状,包括研究数量、研究质量、研究领域和研究方式.其次,首次提出了面向Docker容器研究的分类框架,分别从核心、平台和支持3个方面对当前研究进行了系统性地归纳和梳理.最后,讨论了Docker容器技术的发展趋势并总结了7个未来的研究方向.