协同学习教学模式下的数据库通识课程教学设计

在高校中普遍开设的计算机类的通识课程能够有效地提高学习者的操作技能并帮助他们掌握科学研究方法,从而有助于高校学生的创新能力的培养。但是由于此类课程内容较多,学生畏难情绪严重,普通教学方式很难让师生同时沉浸教学之中,不能达到预定的教学目标。对此,通过采用协同学习的方式,促使学生和教师在已有一定知识体系的基础上,兼顾前沿和基础,共同学习,深度探索。实验结果表明,多数学生积极参与协同学习的教学过程,并认为这种教学方式能够提高他们的学习兴趣,支持这种协同学习教学模式。     

基于社会化媒体情境的多维协同智能推荐

针对传统协同智能推荐技术的冷启动、数据稀缺性问题,为提高推荐算法的效率和准确性,提出一种基于社会化媒体情境的多维智能推荐算法模型。该模型将目标用户的属性特征、行为特征考虑到社会化媒体情境信息中,并动态实时捕捉用户在不同社会化媒体情境下的偏好倾向,利用联机分析处理(OLAP)技术对多维数据进行处理。该模型将用户间的社会化关系和所处的政治经济环境视为衡量用户相似的重要指标,同时使用皮尔森系数和云模型来计算用户间各特征的相似度,并以此为推荐基础向用户呈现更个性化和定制化的推荐结果。实验结果表明,该模型的推荐结果的平均绝对误差明显小于传统的协同智能推荐和单纯的基于云模型推荐技术。     

A negotiation methodology for multidisciplinary collaborative product design

The collaborative design of a complicated mechanical product often involves conflicting multidisciplinary objectives, thus one key problem is conflict resolution and coordination among the different disciplines. Since the characteristics such as cooperative competition, professional dependence, compromise, overall utility and so on exist in multidisciplinary collaborative design (MCD), an effective way to gradually eliminate the conflicts among the multiple disciplines and reach an agreement is the negotiation by which a compromise solution that satisfies all parties is got. By comprehensively analyzing the characteristics in MCD and considering the benefit equilibrium among discipline individuals and team, a negotiation strategy is presented, which maximize the union satisfaction degree of system overall objective under the premise of ensuring the higher satisfaction degree level of each discipline’s local objective. A design action of a discipline is abstractly expressed as a concession in the negotiation strategy, and a negotiation model used for MCD is generated by establishing the relation between concession and satisfaction degree. By the relation between satisfaction degree and objective function, the mapping relationship between satisfaction degree domain and physical domain is built to get the design solution. A negotiation process is planned, and a negotiation system framework is designed to support the negotiation among multiple disciplines and assist the different disciplines rapidly reach a consistent compromise solution. A design example of automotive friction clutch is given to illustrate the proposed method.     

A collaborative learning approach for geographic information retrieval based on social networks

Nowadays, spatial and temporal data play an important role in social networks. These data are distributed and dispersed in several heterogeneous data sources. These peculiarities make that geographic information retrieval being a non-trivial task, considering that the spatial data are often unstructured and built by different collaborative communities from social networks. The problem arises when user queries are performed with different levels of semantic granularity. This fact is very typical in social communities, where users have different levels of expertise. In this paper, a novelty approach based on three matching-query layers driven by ontologies on the heterogeneous data sources is presented. A technique of query contextualization is proposed for addressing to available heterogeneous data sources including social networks. It consists of contextualizing a query in which whether a data source does not contain a relevant result, other sources either provide an answer or in the best case, each one adds a relevant answer to the set of results. This approach is a collaborative learning system based on experience level of users in different domains. The retrieval process is achieved from three domains: temporal, geographical and social, which are involved in the user-content context. The work is oriented towards defining a GIScience collaborative learning for geographic information retrieval, using social networks, web and geodatabases.     

基于行为均衡分析的多学科协同决策机制设计

针对求解不确定、动态和分布式的多学科设计优化问题时所面临的挑战,提出了一种基于行为均衡分析的多学科协同决策机制。在行为博弈分析框架下,通过采用折衷决策支持问题建立学科设计团队的基本决策模型,利用理性反应集刻画团队之间的交互作用和耦合关系,结合社会偏好理论、认知演算和前景理论来描述团队之间行为均衡的实现过程,该机制为多学科设计博弈的动态演化过程提供了一个有效的建模工具。     

A novel evolutionary analysis model for social collaborative design ecosystem based on information entropy

Social collaborative design rooted in online platforms has emerged as a new paradigm for product innovation, with open and dynamic design elements bringing about external design resources and internal fluctuations. To guarantee sustainable operation of the design system, assessing the impact of the uncertainty of the external environment and randomness of the internal organization on the efficiency and stability of the system’s operation is essential. To that end, this paper proposes a quantitative evolutionary analysis model based on information entropy theory to assess the benefits and drawbacks of system evolution by measuring the degree of development and harmony of the system, as well as to anticipate future evolutionary trajectories using a classical time-series prediction model. The accuracy and validity of the model were verified using 794,509 design data points accumulated over 10 years on the Zhubajie platform, the largest social collaborative design platform in China. In summary, our study provides a method for stakeholders to evaluate the evolutionary trend of the design ecosystem. Platform managers can utilize this model for controlling the operating state of the system to ensure safe and effective operation.     

Experiment in social intelligence design

In this paper we present recent research into computer-mediated communication with special emphasis on the use of collaborative tools in shared task environment. In order to explain the regularities and uniformities in people’s behaviour obtained through quantitative study of interaction among groups of students engaged in structured debates, we have developed an experimental approach that enables us to measure and quantify several key aspects of computer-mediated communication in this context.

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A digital twin-based multidisciplinary collaborative design approach for complex engineering product development

With the ever-increasing demand for personalized product functions, product structure becomes more and more complex. To design a complex engineering product, it involves mechanical, electrical, automation and other relevant fields, which requires a closer multidisciplinary collaborative design (MCD) and integration. However, the traditional design method lacks multidisciplinary coordination, which leads to interaction barriers between design stages and disconnection between product design and prototype manufacturing. To bridge the gap, a novel digital twin-enabled MCD approach is proposed. Firstly, the paper explores how to converge the MCD into the digital design process of complex engineering products in a cyber-physical system manner. The multidisciplinary collaborative design is divided into three parts: multidisciplinary knowledge collaboration, multidisciplinary collaborative modeling and multidisciplinary collaborative simulation, and the realization methods are proposed for each part. To be able to describe the complex product in a virtual environment, a systematic MCD framework based on the digital twin is further constructed. Integrate multidisciplinary collaboration into three stages: conceptual design, detailed design and virtual verification. The ability to verify and revise problems arising from multidisciplinary fusions in real-time minimizes the number of iterations and costs in the design process. Meanwhile, it provides a reference value for complex product design. Finally, a design case of an automatic cutting machine is conducted to reveal the feasibility and effectiveness of the proposed approach.     

多学科协同设计中的网络视频会议系统

面向计算机支持的协同工作(CSCW)环境下的多学科协同设计,构建了一个基于类B/S结构的多点网络视频会议系统.分析了CSCW框架下多学科协同设计对网络视频会议的需求,讨论了Java媒体框架(JMF)技术和会议过程媒体流的传输与控制机制,并进行了类B/S架构下的系统设计与分析,建立了会议系统的网络组成结构,完成了系统总体功能设计和客户浏览器交互过程控制.系统为协同产品设计过程提供了知识交流与共享、冲突消解的多媒体工作环境.     

多学科协同设计模型感知研究*

为了解决多学科异构系统中产品设计模型之间设计修改的感知问题, 针对设计模型和分析模型提出由模型寻找到协同适应的模型感知应用方法,阐述了各学科之间协同感知过程、感知之后映射关系更新和分析模型修改的实现流程,将传统的人与人感知模式转变为模型到模型感知模式。通过分析模型修改方法实现设计模型到分析模型的感知处理,重新处理分析模型。最后通过感知表达方法实现分析模型到设计模型的感知表达,将分析结果可视化反映到设计模型上。     

Supporting collaborative learning in engineering design

In team-based project courses, collaborative learning is the dominant learning mode. Collaborative learning has been shown to increase individual learning through co-construction and personal reflection. Rapid adoption of web-based communication and mobile computing by students provide opportunities to take advantage of computer-supported collaboration for engineering education. We present preliminary findings on a computer environment, the Kiva Web, that supports the activities of group collaboration for interdisciplinary engineering design teams. We have employed methods from human–computer interaction (HCI) to iterate on the design in the context of use. In this paper, we discuss the evolution of the Kiva Web and the implications for both student design teams and professional design teams.     

Supporting collaborative learning in engineering design

In team-based project courses, collaborative learning is the dominant learning mode. Collaborative learning has been shown to increase individual learning through co-construction and personal reflection. Rapid adoption of web-based communication and mobile computing by students provide opportunities to take advantage of computer-supported collaboration for engineering education. We present preliminary findings on a computer environment, the Kiva Web, that supports the activities of group collaboration for interdisciplinary engineering design teams. We have employed methods from human–computer interaction (HCI) to iterate on the design in the context of use. In this paper, we discuss the evolution of the Kiva Web and the implications for both student design teams and professional design teams.     

基于人工智能和元宇宙的人机交互学习智能代理

文章提出一种基于人工智能和元宇宙的人机交互学习智能代理,将佛教经典卷宗——《心经》中的模糊本体论应用于人工智能(artificial intelligence, AI)中,使得中小学生在AI-FML元宇宙中学习英语和模糊标记语言(fuzzy markup language, FML);计算智能是人工智能的一个重要分支,它包括模糊逻辑、神经网络和进化计算;基于强化学习、智能代理、本体和AI-FML人机交互学习技术,提出了一种基于模糊本体的智能代理,供学生在AI-FML元宇宙平台上体验计算智能应用,学习模糊逻辑、神经网络和进化计算的基本概念;将模糊本体和AI-FML的核心技术与《心经》相结合,在AI-FML元宇宙中构建具有计算智能、感知智能和认知智能的智能代理;此外,还运用人类对《心经》的语义理解,将AI-FML元宇宙平台的概念解释给中小学生学习和体验计算智能;智能代理与学习环境和AI-FML元宇宙进行交互,可以帮助教师评估学生们在每个课时学习英语或计算智能应用的表现,并以热力图的形式来反映;通过评估AI-FML元宇宙在上海4所国际中小学的实施情况,观察到智能代理能够有效工作,学生的学习成...     

A recommender agent based on learning styles for better virtual collaborative learning experiences

Almost unlimited access to educational information plethora came with a drawback: finding meaningful material is not a straightforward task anymore. Based on a survey related to how students find additional bibliographical resources for university courses, we concluded there is a strong need for recommended learning materials, for specialized online search and for personalized learning tools. As a result, we developed an educational collaborative filtering recommender agent, with an integrated learning style finder. The agent produces two types of recommendations: suggestions and shortcuts for learning materials and learning tools, helping the learner to better navigate through educational resources. Shortcuts are created taking into account only the user’s profile, while suggestions are created using the choices made by the learners with similar learning styles. The learning style finder assigns to each user a profile model, taking into account an index of learning styles, as well as patterns discovered in the virtual behavior of the user. The current study presents the agent itself, as well as its integration to a virtual collaborative learning environment and its success and limitations, based on users’ feedback.     

A collaborative face-to-face design support system based on sketching and gesturing

Mobile and pervasive computing has seen a rapid development in the last years. Portable, handheld computing devices are getting more popular as their capabilities increase. Therefore, people having the need to work on-the-field have now the possibility to be supported by computer technology, for example, garden or building designers. Ad-hoc networking capabilities of handheld devices enable the development of supporting tools for collaborative work anywhere. This paper presents MCSketcher, a system that enables face-to-face collaborative design based on sketches using handheld devices equipped for spontaneous wireless peer-to-peer networking. It is especially targeted for supporting preliminary, in-the-field work, allowing designers to exchange ideas through sketches on empty sheets or over a recently taken photograph of the object being worked on, in a brainstorming-like working style. Pen-based designed human–computer interaction is the key to supporting collaborative work. The gestures-based command input results in a lightweight yet efficient and easy to use interface. Graph structured hierarchical documents help to overcome the problems of a small screen size.     

基于网络环境下的协作学习教学设计研究

本文采用现代教学设计理念,对网络环境下协作学习的教学设计各环节进行了分析,然后利用行动研究方法对高师院校"计算机文化基础"课进行了教学实践,以期能为协作学习的实践应用提供具体的方法指导。     

The multi-user computer-aided design collaborative learning framework

New developments to computer-aided design (CAD) software transform a once solitary modelling task into a collaborative one. The emerging multi-user CAD (MUCAD) systems allow virtual, real-time collaboration, with the potential to expand the learning outcomes and teaching methods of CAD. This paper proposes a MUCAD collaborative learning framework (MUCAD-CLF) to interpret backend analytic data from commercially available MUCAD software. The framework builds on several existing metrics from the literature and introduces newly developed methods to classify CAD actions collected from users’ analytic data. The framework contains two different classification approaches of user actions, categorizing actions by action type (e.g., creating, revising, viewing) and by design space (e.g., constructive, organizing), for comparative analysis. Next, the analytical framework is applied via a collaborative design challenge, corresponding to over 20,000 actions collected from 31 participants. Illustrative analyses utilizing the MUCAD-CLF are presented to demonstrate the resulting insight. Differences in CAD behaviour, indicating differences in learning, are observed between teams made up entirely of novices, entirely of experienced users, or a mix. In pairs of experts and novices, we see both a perceived high-satisfaction apprenticeship experience for the novices and preliminary evidence of an increase in expert design behaviours for the novices. The proposed framework is critical for MUCAD systems to make the most of the educational possibility of combining technical skill-building with team collaboration. Preliminary evidence collected in a fully-virtual design learning activity, and analyzed using the proposed MUCAD-CLF, shows that novice students gain advanced CAD design knowledge when collaborating with experienced teammates. With the user data captured by modern MUCAD software and the MUCAD-CLF presented herein, instructors and researchers can more efficiently assess and visualize students’ performance over the design learning process.