Solving the Pedagogical Dilemma by Implementing Collaborative Leaning Mode in College ELT:Peer Interaction and Group Cooperation

This paper mainly seeks to discuss what factors contribute to students' passive involvement in English classes. It also explores whether it would be possible to solve the above pedagogical dilemmas through implementing collaborative learning mode in ESL. After analyzing the data collected from case study, classroom observation and post-hoc interviews, researcher discovers that collaborative learning mode exerts a considerable positive influence on reducing students' learning anxiety and rebuilding their self-confidence. In addition, peer interaction and group collaboration are highly motivating and effective for ESL learners at college level.

Behavior of Delivery Robot in Human-Robot Collaborative Spaces During Navigation

Navigation is an essential skill for robots.It becomes a cumbersome task for the robot in a human-populated environment,and Industry 5.0 is an emerging trend that focuses on the interaction between humans and robots.Robot behavior in a social setting is the key to human acceptance while ensuring human comfort and safety.With the advancement in robotics technology,the true use cases of robots in the tourism and hospitality industry are expanding in number.There are very few experimental studies focusing on how people perceive the navigation behavior of a delivery robot.A robotic platform named“PI”has been designed,which incorporates proximity and vision sensors.The robot utilizes a real-time object recognition algorithm based on the You Only Look Once(YOLO)algorithm to detect objects and humans during navigation.This study is aimed towards evaluating human experience,for which we conducted a study among 36 participants to explore the perceived social presence,role,and perception of a delivery robot exhibiting different behavior conditions while navigating in a hotel corridor.The participants’responses were collected and compared for different behavior conditions demonstrated by the robot and results show that humans prefer an assistant role of a robot enabled with audio and visual aids exhibiting social behavior.Further,this study can be useful for developers to gain insight into the expected behavior of a delivery robot.

Applying Nearpod to the Teaching Chinese as a Second Language Class to Enhance Interactions and Collaborations in the Secondary Schools

The quick spread of the epidemic since 2019 together with fast advancing of technology has exposed teachers to online education,including Teaching Chinese as a Second Language(TCSL)classrooms.Some Chinese as a Second Language(CSL)teachers were reluctant to utilize technology tools in their teaching due to the lack of technological knowledge.Thus,this study designed a CSL curriculum with the lens of the TPACK framework(Technological Pedagogical Content Knowledge).Nearpod was specifically adopted as a web-based technology tool to support the teaching Chinese language due to its powerful functions provided.Nearpod allows teachers to design interactive activities in multiple ways to facilitate interactions and collaboration in the CSL learning process.This paper aimed to help Chinese teachers improve their understanding of how to effectively integrate technology into CSL teaching.Chinese teachers will develop a deeper comprehension of distance teaching from the perspectives of technology,pedagogy,and content knowledge,enhance students’deeper learning,and promote interaction and collaboration in L2 class.The effective use of the technology can develop language skills in a meaningful context knowledge with the guidance of pedagogical content knowledge.

Trust Type Based Trust Bootstrapping Model of Computer Network Collaborative Defense

In the system of Computer Network Collaborative Defense(CNCD),it is difficult to evaluate the trustworthiness of defense agents which are newly added to the system,since they lack historical interaction for trust evaluation.This will lead that the newly added agents could not get reasonable initial trustworthiness,and affect the whole process of trust evaluation.To solve this problem in CNCD,a trust type based trust bootstrapping model was introduced in this research.First,the division of trust type,trust utility and defense cost were discussed.Then the constraints of defense tasks were analyzed based on game theory.According to the constraints obtained,the trust type of defense agents was identified and the initial trustworthiness was assigned to defense agents.The simulated experiment shows that the methods proposed have lower failure rate of defense tasks and better adaptability in the respect of defense task execution.

Factors That Influence Healthcare Professionals’ Online Interaction in a Virtual Community of Practice

Online technologies have facilitated the development of Virtual Communities of Practice (virtual CoPs) to support health professionals collaborate online to share knowledge, improve performance and support the spread of innovation and best practices. Research, however,shows that many virtual CoPs do not achieve their expected potential because online interaction among healthcare professionals is generally low. Focusing on health visitors, who are UK qualified midwives or nurses who have undertaken additional qualifications as specialist public health workers in the community, the paper examines the factors that influence online interaction among health visitors collaborating to share knowledge and experience in a virtual CoP. The paper makes suggestions for how to improve online interaction among health professionals in virtual CoPs by increasing the size of membership in order to take advantage of both posting and viewing contributions, facilitating moderation to improve networking among geographically dispersed members groups and im-proving the topic relevance in order to stimulate contributions.

An Investigation of a Collaborative Learning Framework in Classroom Teaching——an action research

This essay which is dedicated into doing action research explores the difficulties in conducting the collaborative learning in a student-centered classroom teaching,mostly based on teachers’reflection.This essay adapts a framework of conducting,monitoring and evaluating collaborative learning into specific teaching context and points out research areas in the next step of action research.

On the Design and Construction of Family-School Collaborative Education Platform

It is avery important field for educational researcher to use collaborative educational platform to manage and educate students. With the development of the Internet and the popularization of computers, cooperative education is becoming increasingly important. In consideration of the immature stage of the current domestic collaborative education platform, in order to promote the communication among students, teachers and parents, and to facilitate the collaborative supervision and management of teachers and parents, we design and construct the family-school collaborative education platform.

企业数字化转型与政府数字化治理对创新“提质增量”的协同影响机制研究

基于数字化赋能理论,以2016—2021年396家高技术制造业上市公司为样本,从微观和宏观两个维度出发探究企业数字化转型和政府数字化治理赋能企业创新“提质增量”的作用机理,并采用多项式回归、响应面分析及块变量分析技术剖析其交互协同机制,明晰数字经济推动企业创新“提质增量”的多维路径,研究结果表明:(1)企业数字化转型能促进企业创新“增量”,不能促进创新“提质”;政府数字化治理能促进企业创新“提质增量”。(2)企业数字化转型和政府数字化治理存在交互协同效应,能显著促进企业创新“提质增量”,并且在平衡状态下,二者处于双高水平时企业创新表现更好,在非平衡状态下,呈现政府数字化治理的“主导逻辑”。(3)政企之间的交互协同可以通过降低管理性交易成本,缓解信息不对称性来促进企业创新“提质增量”。研究结论丰富了数字经济与企业创新相关研究,为企业走出创新“轻质量、重数量”困境提供了新的路径,为政府部门落实数字经济政策和优化创新环境提供了新的参考。

智能人机交互在有人太空探索中的应用与展望

近年来,空间机器人技术发展迅速,国内外已有诸多空间站机器人、深空探测机器人的应用实例。未来有人太空探索过程当中,人与众多智能机器人协同开展任务将成为必然趋势。对国内外空间协作机器人应用实例进行了总结,在分析人机协作机制的基础上,提出了空间人机交互的关键技术,包含人体检测与跟踪、手势识别与分类、动作识别与意图预测、低重力环境下的人机协同控制等,对上述关键技术的难点与研究进展进行了分析综述,并对后续的发展方向进行了展望。

边缘计算在电力系统供需互动应用的研究进展与展望

供需互动通过电力系统需求侧与供应侧的信息交互可构建灵活的能源调控体系,是实现电力系统高效经济运行的可靠保障,是新型电力系统的重要特征。随着电力物联网的不断发展,电力系统供需终端所产生的数据量急速上升,传统的云计算架构难以适应海量数据处理需求的增长。作为一种新兴的计算范式,边缘计算通过边缘侧具备一定计算能力的设备在数据源附近就近处理部分数据,具有低时延、高效率和分布式的特点。通过将边缘计算应用到电力系统供需互动领域,可以有效提高供需互动的效率,提升数据的安全性,增强互动的灵活性。文中首先总结了边缘计算在电力系统中的发展现状,然后阐述了边缘计算应用于供需互动领域的关键技术,最后对边缘计算与供需互动在未来进一步的研究前景进行了展望。

基于物品交互约束的自编码器推荐模型

近年来,自编码器凭借其良好的数据压缩能力在推荐领域得到广泛应用。研究发现,受推荐系统中数据稀疏性的影响,自编码器模型会因为用户与物品之间缺少交互而在训练过程中产生偏差,从而影响模型的推荐结果。为解决此问题,提出一种基于物品交互约束的自编码器推荐模型。该模型以物品交互情况作为约束条件,设计了新的参数更新规则,规避了由数据稀疏性引入的模型训练偏差。在此基础上,推荐模型还将物品标签信息引入到训练中,通过增加新的数据源来缓解数据稀疏性的影响,提升推荐性能。在3个不同规模和稀疏度的数据集上的实验表明,模型对稀疏数据集具有良好的适应性,能够有效提高推荐的准确性,展现出良好的应用潜力。

基于数据流模型的航线网络结构可视分析方法

针对航线网络结构多维属性关联分析问题,提出一种基于数据流模型的多视图协同网络结构可视分析方法。引入数据流模型,增强多维数据分析时的交互和多视图协同效果;构建基于数据流模型的航线网络结构可视分析系统用于方法验证。该方法对比和实验结果表明,利用航线网络数据流实时交互和多视图协同分析网络结构数据,完成聚类、相关性、异常值分析任务,能更好地分析数据之间的关联关系,有助于理解航线网络的结构和特征。最后,通过以上方法分析网络结构特点与不足,提出航线网络优化建议,能更好地帮助用户完成可视分析任务,探索数据分布特征、发现多维数据之间的关联关系。

从交互到共生:智慧教育生态系统中人机关系重构的逻辑进路

人工智能与教育教学的深度融合必将推动教育生态的整体性变革。随着智能技术的迭代升级,智慧教育生态系统中的人机关系逐渐从人机交互的初级形态走向人机协同、人机融合,最终实现人机共生的终极愿景。教育领域的新一代自然式人机交互,以智能机器为中介形成“物理-信息对偶空间”,并根据人与智能机器默契程度的不同从低到高分为基于有声语言的交互、基于肢体信号的交互和基于意念感知的交互。在智慧教育人机协同形态中,智能机器晋升成为认知主体,充当“代具”弥补人类的“缺陷存在”从而共同完成复杂的任务,具体可分为计算智能型协同、感知智能型协同、认知智能型协同以及社会智能型协同。在人机融合形态下,人、机器和环境系统相互作用而产生新型群体智能系统,人机关系呈现具身智能等特征。人机共生作为人机关系发展的终极形态,无论是物理形式抑或是逻辑形式的共生,师生与人工智能“宛如同类”相互依存,秉持互利原则不断优化和进步,追求教育育人价值最大化。

共生理论视域下在线协作学习机制与互动模式分析

知识经济时代,在线协作学习凭借时空跨域性、主体自主性和资源共享性等特点,已成为常态化学习方式。现有研究发现,在线协作学习互动模式对学习成效有正向影响,并成为提升在线学习效果的关键所在,但是交互模式及其过程仍需深入探讨。为此,基于共生理论对在线协作学习机制进行全面剖析,分析了寄生共生、偏利共生、非对称性互惠共生以及对称性互惠共生四种在线协作学习互动模式。随后,运用滞后序列分析法和相关分析开展了在线协作学习互动模式过程与影响因素探究。结果显示,在线协作学习中存在不同类型的共生模式,不同共生模式内部作用路径存在差异,同时学习媒体与行为对共生模式具有重要影响。

基于主体遗忘行为的产学研协同创新最优网络结构

探究产学研协同创新中的知识扩散最优网络结构对提升创新效率具有重要意义。现有关知识扩散过程中的遗忘机制大多被视为指数衰减,且主要关注企业之间的知识扩散,鲜有学者将主体知识遗忘行为纳入产学研协同创新最优网络结构的研究中。本文在现有知识交互模型上加入了遗忘系数,基于仿真方法,探究了主体遗忘行为对产学研协同创新绩效的影响及不同条件下产学研协同创新绩效提升的最优网络结构。结果表明:主体遗忘行为降低了整体绩效,弱化了个体之间的知识差异;在不同的主体知识遗忘率下,最优知识网络结构是不同的。据此,从平均路径长和集聚度视角提出了优化网络结构提升协同创新绩效的建议。

城市设计一流本科课程教学改革与实践——以华南理工大学为例

国家高等教育“双一流”建设背景下,一流本科课程建设成为培养优质人才和推动教育改革的重要途径。城市设计学科具有整合与协同的特点,在指导高品质人居环境建设方面发挥着重要作用。但是,城市设计专业教育在我国起步较晚,面临发展目标不清、体系混杂和标准不一等问题。华南理工大学建筑学院的城市设计教学立足于传统建筑学科优势,坚持以全面培养学生的思政素养、国际视野、专业知识、创新能力为目标,历经二十余年的建设和改革,创立了特色鲜明的高水平教学体系。建筑设计(五-六)(城市设计专门化方向)作为其中的核心课程,以拓宽专业基础和深化实践研究为改革路径,构建了“高阶国际合作+多学科协同+学研产一体”的设计教学模式,在城市设计创新人才培养方面取得良好成效。通过介绍华南理工大学城市设计一流本科课程建设目标、课程建设及应用情况、课程特色与创新、课程建设计划与建设效果等,以期为城市设计类课程教学改革提供借鉴。

九论以用户为中心的设计:智能时代的“用户体验3.0”范式

基于“以用户为中心设计”理念的用户体验(UX)领域正在迈向智能时代,但是现有的UX范式主要针对非智能系统,缺乏针对智能系统UX的系统化方法。纵观UX的发展历程,UX范式呈现出跨技术时代的演进特征。当前,智能时代对UX范式提出了新要求。为此,本文从UX范式出发,提出智能时代的“UX 3.0”范式框架以及相应的方法体系。“UX 3.0”范式框架包括五大类UX方法:生态化体验、创新赋能体验、AI赋能体验、人智交互体验、人智协同合作体验方法,其中每一类方法都包括相应的UX范式取向。“UX 3.0”范式的提出有助于提升现有UX方法,为智能系统UX研究和应用提供方法论支持。最后,本文展望“UX 3.0”范式今后的研究和应用。

“车楼协同”理念下的信息协同技术初探

“车楼协同”是一项创新的城市发展概念,旨在将车辆和建筑物互相连接,通过实时数据交互,优化城市交通、楼宇服务和资源管理。本文探讨了“车楼协同”的核心概念、架构、典型场景、技术挑战和未来展望。虽然该概念面临数据安全、互操作性和大数据处理等技术挑战,但它具有巨大的潜力,有望为智能城市的可持续发展带来新的机遇。

智能煤矿综采控制系统双人协同作业情境意识研究

目的探究智能煤矿综采控制系统双人协同作业中个体在不同协同条件下的情境意识(SA)的构建情况,为智能煤矿中人员协同操作模式提供管理的相关依据。方法利用E-prime软件模拟智能煤矿综采控制系统中的采煤机运行状态监控任务,实验模拟四种不同协同场景(单独作业、操作协同、工作交流协同、非工作内容交流协同),利用全局情境意识技术测度被试总体情境意识以及感知、理解、预测三阶段情境意识得分,并验证不同协同条件下双人协同作业模式中个体的情境意识影响差异。结果双人操作协同与工作内容交流协同显著提升个体情境意识水平,并取得较高的工作绩效;在情境意识感知阶段,非工作内容交流协同与其他三组对比情境意识得分显著下降;在理解阶段,工作内容交流组与其他三组均呈现情境意识得分上的显著性差异,且工作内容交流组得分最高;在预测阶段单独作业组与操作协同组和工作内容交流协同组在SA得分上存在显著性差异,单独作业在预测阶段的得分显著低于有协同组。结论相较于单独作业,操作协同、有关工作内容的交流协同能够有效维持个体情境意识和提高绩效水平,但非工作内容的交流协同反而会降低个体情境意识。

城市综合能源系统协同调控与互动交易研究综述

城市是工业、服务业的聚集地,是经济增长的主引擎,未来城市综合能源系统的发展目标将不仅仅局限于满足社会能源需求,还需要将视角提升到支撑城市全局发展层面。因此,城市综合能源系统协同调控与互动交易相关研究不仅是近年来研究的热点问题,也是促进人类和城市可持续发展的必要解决问题。该文首先分析了相关研究的发展趋势和发文热度。然后在模型层面,分别讨论了城市综合能源系统的基本协同调控模型以及满足零碳需求、韧性提升需求、互动交易场景下的协同调控模型;在决策框架和算法层面,就目前常用的双层优化、鲁棒优化、人工智能优化方法分别进行概括分析;对城市综合能源系统仿真软件的特点进行了归纳总结。最后,对城市综合能源系统中多能源协同运行灵活性潜力挖掘、全设备模型建模方法与信息交换技术、多元用户互动特性分析、信息-物理-社会深度融合的需求和挑战进行了展望。