基于合同网协议的异地分布式敏捷开发多团队间任务分配分析     

姜继娇  杨晓  殷茗 《科技管理研究》2019,39(3)

异地分布式协同开发是大型复杂产品开发策略的一部分,而任务分配是异地分布式敏捷协同开发项目计划阶段的关键决策。结合相关理论以及前期研究,构建基于合同网协议的产品开发异地分布式团队间的任务分配模型,将任务重要程度优先权引入任务分配模型中,通过实例进行仿真计算,验证所提方法的可行性。实证表明所提方法更适用于异地分布式敏捷开发项目,可提高异地分布式开发敏捷性项目的效率。  相似文献   

Supporting groups’ emotion and motivation regulation during collaborative learning     

《Learning and Instruction》2020

This study investigates when and how students activate co- and socially shared emotion and motivation regulation in collaborative learning and whether the S-REG mobile application tool can support this regulation. In a mathematics course, 44 higher education students worked with a collaborative assignment. The S-REG tool traced groups' emotional and motivational states in different sessions, and the occurrence of co-regulation and shared regulation of motivation and emotions were coded from video-recorded collaborative work (44 h). The groups activated more co-regulation than shared regulation of emotions and motivation, but the shared-regulation episodes were longer-lasting. The groups’ emotional and motivational states were associated with the occurrence of co-regulation in the beginning of the learning sessions. The results suggest that the S-REG tool balanced collaboration by prompting the groups to regulate emotions and motivation right in the beginning of the motivationally and emotionally challenging learning sessions.  相似文献   

Social network data to alleviate cold-start in recommender system: A systematic review     

Lesly Alejandra Gonzalez Camacho  Solange Nice Alves-Souza 《Information processing & management》2018,54(4):529-544

Recommender Systems are currently highly relevant for helping users deal with the information overload they suffer from the large volume of data on the web, and automatically suggest the most appropriate items that meet users needs. However, in cases in which a user is new to Recommender System, the system cannot recommend items that are relevant to her/him because of lack of previous information about the user and/or the user-item rating history that helps to determine the users preferences. This problem is known as cold-start, which remains open because it does not have a final solution. Social networks have been employed as a good source of information to determine users preferences to mitigate the cold-start problem. This paper presents the results of a Systematic Literature Review on Collaborative Filtering-based Recommender System that uses social network data to mitigate the cold-start problem. This Systematic Literature Review compiled the papers published between 2011–2017, to select the most recent studies in the area. Each selected paper was evaluated and classified according to the depth which social networks used to mitigate the cold-start problem. The final results show that there are several publications that use the information of the social networks within the Recommender System; however, few research papers currently use this data to mitigate the cold-start problem.  相似文献   

Meta-Circuit machine: Inferencing human collaborative relationships in heterogeneous information networks     

Xiyue Gao  Jun Chen  Nian Huai 《Information processing & management》2019,56(3):844-857

Human collaborative relationship inference is a meaningful task for online social networks and is called link prediction in network science. Real-world networks contain multiple types of interacting components and can be modeled naturally as heterogeneous information networks (HINs). The current link prediction algorithms in HINs fail to effectively extract training samples from snapshots of HINs; moreover, they underutilise the differences between nodes and between meta-paths. Therefore, we propose a meta-circuit machine (MCM) that can learn and fuse node and meta-path features efficiently, and we use these features to inference the collaborative relationships in question-and-answer and bibliographic networks. We first utilise meta-circuit random walks to obtain training samples in which the basic idea is to perform biased meta-path random walks on the input and target network successively and then connect them. Then, a meta-circuit recurrent neural network (mcRNN) is designed for link prediction, which represents each node and meta-path by a dense vector and leverages an RNN to fuse the features of node sequences. Experiments on two real-world networks demonstrate the effectiveness of our framework. This study promotes the investigation of potential evolutionary mechanisms for collaborative relationships and offers practical guidance for designing more effective recommendation systems for online social networks.  相似文献   

Nearest-biclusters collaborative filtering based on constant and coherent values     

Panagiotis Symeonidis  Alexandros Nanopoulos  Apostolos N. Papadopoulos  Yannis Manolopoulos 《Information Retrieval》2008,11(1):51-75

Collaborative Filtering (CF) Systems have been studied extensively for more than a decade to confront the “information overload” problem. Nearest-neighbor CF is based either on similarities between users or between items, to form a neighborhood of users or items, respectively. Recent research has tried to combine the two aforementioned approaches to improve effectiveness. Traditional clustering approaches (k-means or hierarchical clustering) has been also used to speed up the recommendation process. In this paper, we use biclustering to disclose this duality between users and items, by grouping them in both dimensions simultaneously. We propose a novel nearest-biclusters algorithm, which uses a new similarity measure that achieves partial matching of users’ preferences. We apply nearest-biclusters in combination with two different types of biclustering algorithms—Bimax and xMotif—for constant and coherent biclustering, respectively. Extensive performance evaluation results in three real-life data sets are provided, which show that the proposed method improves substantially the performance of the CF process.

Yannis ManolopoulosEmail:

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论高校青年教师的合作学习     

蒋宗珍 《临沧教育学院学报》2005,14(3):76-79

合作学习是促进教师专业发展的重要途径。有效的合作学习策略是积极的相互依赖、积极互动、个人责任、社会技能、自我评价；而有效合作学习的途径则是青年教师之间的合作学习、青年教师与学生的合作学习及网上合作学习。  相似文献   

软骨细胞图像的分割和测量     

邵莉云  吴乐南 《常熟理工学院学报》2002,16(2):74-77

在软骨细胞自动分割计量系统的分割部分中，用Ostu法初步分割图像后，对轻度粘连细胞采用了形态滤波处理，利用细胞核信息进一步细化分割粘连较多的细胞，获得了较好的效果。  相似文献   

面向学习者特征——行为数据融合的协同学习系统框架设计     

王林  张付志 《现代教育技术》2008,18(9):86-88

文章将个性化学习和协同学习的教育理念结合起来,提出了一个基于数据融合技术的协同学习系统框架,以解决协同学习中个体学习目标往往得不到实现的问题。  相似文献   

Improving mobile learning with enhanced Shih＇s model of mobile learning     

Oyelami Olufemi Moses 《美中教育评论》2008,5(11):22-27

More recent motivational research focuses on the identification of effective techniques for enhancing instructional design and meeting the needs of diverse student populations （Wlodkowski R. J., 1981）. Learning-motivation researchers are applying some of the same theories and concepts found to be effective in industry to the development of motivational models that enhance the teaching-learning environment. One of such models is the Attention Relevance Confidence Satisfaction （ARCS） model of motivational design developed by John M. Keller （Small Ruth V., 2007）. The continuous improvement in handheld devices technologies has led to a new learning paradigm called mobile learning which involves the delivery of learning contents to learners utilizing mobile computing devices. Handheld devices, however, have constraints which limit their use for effective learning. Towards improving the effectiveness of mobile learning is a new mobile learning model proposed by Shih on which instructional designs for mobile learning can be based to facilitate mobile learning design and to achieve better mobile learning outcomes （Yushin E. Shih ＆ Dennis Mills, 2007）. Shih＇s model is based on Graphical User Interface （GUI）. This paper presents an enhanced Shih＇s model for effective mobile learning outcome in a university environment by making provision for instructional design to include online library search for both e-books and audio books using collaborative filtering algorithm to aid the search and posting and reading of testimonials about positive mobile learning outcomes so as to encourage other mobile learners. It also incorporates the use of Voice User Interface （VUI） to access the learning portal in order to overcome mobile devices interface limitations in addition to Graphical User Interface （GUI） proposed by Shih, so as to cater for the learning needs of the blind and the visually impaired.  相似文献   

团体画：团队训练技术及案例解析     

徐畅 《武汉职业技术学院学报》2008,7(4):86-89

团体画是团队训练的一种技术,分析团体画需要观察团体画的作画过程即：作画的顺序、各人之间以及内容之间的衔接、各人所画的内容、各人所画内容占据的空间大小、不同个体之间画面的边界等来分析团体成员之间的分工、合作、沟通、包容等状况,从而了解团队问题以及训练方向,达到培养团队精神的目的。  相似文献