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.

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.

A multi-screen collaboration-based low-cost portable dry-lab simulator for basic laparoscopic skills training: A technical note

Laparoscopic skills training has always been crucial for novice surgeons. Readily accessible equipment, aswell as structured training curriculum should be provided to guarantee adequate practice hours and skillproficiency. Dry-lab training is typically adopted before animal model surgery, usually comprising ofpurpose-built bulky simulators that is neither accessible nor portable. In this technical note, we designed ahome-made simulator, using two 4 L water jugs as operating space that are communicated inside, plus anobservation hole taped in between to mimic the triangular working space of laparoscopic surgery. Imagingwas achieved via smartphone camera, which was wirelessly connected to a laptop and a projector for realtime display on multiple screens, using built-in multi-screen collaboration software. A self-regulated andproficiency-based training curriculum was adopted. This dry-lab simulator is low-cost, highly portable andeasily replicable for basic laparoscopic skills training for the beginners to intermediate surgeons, whichmay serve as a good way for the standardized residency and specialist training program.

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.

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.

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.

军民融合、产业协同集聚与区域创新绩效———基于交互作用与空间溢出效应的检验

基于空间数据分析方法,分析军民融合、产业协同集聚和区域创新绩效在我国省际间分布格局,结果显示三者均存在显著的空间自相关性即空间溢出效应,并在局部地区形成了不同的集聚区域,存在高低集聚“俱乐部”现象。基于空间计量模型、实证检验军民融合、产业协同集聚对区域创新绩效的影响,得出主要结论:全国范围军民融合、产业协同集聚均对区域创新绩效具有显著的促进作用,但西部地区军民融合影响的效果最大,而东部地区则产业协同集聚影响的效果最大;同时,在全国范围内二者间具有较强的交互作用,并且在对有限的创新生产要素资源抢占作用下,二者呈现出替代效应,交互作用下对区域创新绩效产生抑制作用,东部、中部地区亦是如此,而在西部地区,二者呈现出互补效应,交互作用下对区域创新绩效产生促进作用;并对影响区域创新绩效的其他因素进行了分析。

融合发展 需求引领 产学互动 协同育人——电子信息工程专业新工科改革探索与实践

面向国家战略需求、区域发展和产业变革,三明学院探究新工科背景下电子信息工程专业改革的途径与方法。实施融合发展,引进我国台湾地区应用型人才培养经验,结合学校实际形成学以致用、全面发展育人理念。坚持需求引领,以科技创新和产业需求为导向构建人才多元培养模式。创新产学互动,制定跨域融合培养方案、革新课程体系力促学生全面发展。探索协同育人,建立校企产学互动机制培养“双师双能”教学团队。相关实践能为电子信息工程专业新工科建设提供案例支持和经验借鉴。

ACI-SPOC教学模式在中药学专业仪器分析实验的应用

文章探索了以超星学习通平台为载体,以自主、协作、互动学习(ACI)能力培养为导向,建立ACI-小规模限制性在线课程(SPOC)教学模式,用于仪器分析实验教学。通过教学质量评价和问卷调查,从学生学习效果、学习兴趣和能力培养等方面对教改班和传统班进行了对比。结果表明,教改班的教学效果优于传统班,教改班的考试平均分比传统班高26分。ACISPOC教学模式不仅解决了学生学习效果差的问题,还能帮助学生充分调动学习兴趣、激发实验热情、提升科研素养,为培养创新型人才奠定了基础。

“大思政课”视角下多元主体交互协同育人机制研究

中国式教育现代化是以主动式教育改革培育创新型人才。“大思政课”育人要围绕人才创新目标,以学生为学习主体,以教师为教学主体,以社会实践导师为社会主体,以多元主体间信息交互、空间交互、项目交互推进现代思政“大课堂”“大平台”“大师资”建设,以理论与实践的教学协同、思政课程与课程思政的课程协同、思政专业与各专业的学科协同推进思政理论教学与实践教学相统一、思政“小课堂”与社会“大课堂”相结合,为教育现代化培育创新性人才。

Collaborative Interaction for Videos on Mobile Devices Based on Sketch Gestures

With the rapid progress of the network and mobile techniques, mobile devices such as mobile phones and portable devices, have become one of the most important parts in common life. Efficient techniques for watching, navigating and sharing videos on mobile devices collaboratively are appealing in mobile environment. In this paper, we propose a novel approach supporting efficiently collaborative operations on videos with sketch gestures. Furthermore, effective collaborative annotation and navigation operations are given to interact with videos on mobile devices for facilitating users＇ communication based on mobile devices＇ characteristics. Gesture operation and collaborative interaction architecture are given and improved during the interactive process. Finally, a user study is conducted showing that the effectivity and collaborative accessibility of video exploration is improved.

Natural human–computer interaction control of multi operators in collaborative virtual maintenance based on optical human motion capture system

Aiming at the human–computer interaction control(HCIC)requirements of multi operators in collaborative virtual maintenance(CVM),real-time motion capture and simulation drive of multi operators with optical human motion capture system(HMCS)is proposed.The detailed realization process of real-time motion capture and data drive for virtual operators in CVM environment is presented to actualize the natural and online interactive operations.In order to ensure the cooperative and orderly interactions of virtual operators with the input operations of actual operators,collaborative HCIC model is established according to specific planning,allocating and decision-making of different maintenance tasks as well as the human–computer interaction features and collaborative maintenance operation features among multi maintenance trainees in CVM process.Finally,results of the experimental implementation validate the effectiveness and practicability of proposed methods,models,strategies and mechanisms.

Collaborative Matrix Factorization with Soft Regularization for Drug-Target Interaction Prediction

Identifying the potential drug-target interactions(DTI)is critical in drug discovery.The drug-target interaction prediction methods based on collaborative filtering have demonstrated attractive prediction performance.However,many corresponding models cannot accurately express the relationship between similarity features and DTI features.In order to rationally represent the correlation,we propose a novel matrix factorization method,so-called collaborative matrix factorization with soft regularization(SRCMF).SRCMF improves the prediction performance by combining the drug and the target similarity information with matrix factorization.In contrast to general collaborative matrix factorization,the fundamental idea of SRCMF is to make the similarity features and the potential features of DTI approximate,not identical.Specifically,SRCMF obtains low-rank feature representations of drug similarity and target similarity,and then uses a soft regularization term to constrain the approximation between drug(target)similarity features and drug(target)potential features of DTI.To comprehensively evaluate the prediction performance of SRCMF,we conduct cross-validation experiments under three different settings.In terms of the area under the precision-recall curve(AUPR),SRCMF achieves better prediction results than six state-of-the-art methods.Besides,under different noise levels of similarity data,the prediction performance of SRCMF is much better than that of collaborative matrix factorization.In conclusion,SRCMF is robust leading to performance improvement in drug-target interaction prediction.

Designing a Shared Single Display Education Application through Interactive Patterns

Interactive patterns are able to promote the notion of reusability in groupware application development. Hence, these patterns support the comprehensiveness of both the interaction design and implementation while easing code modification for groupware application. Groupware is used to describe a broad range of technologies that support person-to-person collaboration. How to design and develop a groupware in an effective manner remains a research question worth exploring. This paper introduces a reusable method, patterns, to develop a single shared display application. Nine different interactive patterns that allow participants to interact collaboratively or non-collaboratively in a single shared display application are introduced in this paper. This is followed by the presentation of our quantitative results on the usability of the interactive patterns and the reusability of the patterns in designing and maintaining a single shared display application. From the results, not only are the patterns useful and easy to understand, the patterns actually ease the process of designing and maintenance during the application development under a single shared display.

An Interactive Approach to Conducting Oral Test in College English Speaking Class

In the paper the author demonstrates how to incorporate communicative interaction in oral tests.To change the passive situation of conducting oral test,an interactive approach is designed and conducted.The design of the test is based on the belief:English oral test is by no means a simple evaluating process,but it can also provide a platform for teacher-student /studentstudent interaction.

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。

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。