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Dual-Track Complementarity in PhD Education:An Empirical Study of Traditional Mentorship and Online Collaborative Learning 认领 引用
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作者 Miao Yu Jing Li 《Journal of Contemporary Educational Research》 2026年第5期343-347,共5页
Against the backdrop of globalization and multicultural integration in Southeast Asia,PhD education is transforming from traditional mentorship to online collaborative learning.This study examines four Malaysian unive... Against the backdrop of globalization and multicultural integration in Southeast Asia,PhD education is transforming from traditional mentorship to online collaborative learning.This study examines four Malaysian universities through surveys of 80 PhD students and 20 supervisors,exploring the application,complementarity,and challenges of both models.Results show online collaborative learning significantly enhances research output and international participation,while traditional mentorship remains irreplaceable for personalized guidance.The hybrid integration of both models is optimal for high-quality PhD education in Southeast Asia’s multicultural context. 展开更多
关键词 PhD education Mentorship system Online collaborative learning Teaching innovation Southeast Asia Multiculturalism
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Cross-Border Collaborative Learning:A Study on Pathways for Integrating Cross-Cultural Cognition and Translation Competence Development 认领 引用
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作者 Nan Cao 《Journal of Contemporary Educational Research》 2026年第7期319-325,共7页
Cross-border collaborative learning creates a place for students to learn without the restrictions of distance and culture;working together, they can cultivate cross-cultural awareness and translation skills to help p... Cross-border collaborative learning creates a place for students to learn without the restrictions of distance and culture;working together, they can cultivate cross-cultural awareness and translation skills to help promote the further development of this kind of study. At present, the cultivation activities for these students are still scattered in terms of cognitive content, lack deep connections with real life, have scattered platform resources, and are deficient in teacher literacy;therefore, the effect of combined education is limited. Given the actual situation of cross-border collaborative learning, this paper explores the need and current problems of integrating the development of cross-cultural cognition and translation competence, and then puts forward some practical suggestions to strengthen the systematic construction of teaching content, deepen the integration of training with context, optimize platform resource integration, and enhance teacher literacy to provide a reference for improving cross-border collaborative learning practice. 展开更多
关键词 Cross-border collaborative learning Cross-cultural cognition Translation competence Integrated cultivation Implementation pathways
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Hidden Two-Stream Collaborative Learning Network for Action Recognition 认领 引用 被引量：4
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作者 Shuren Zhou Le Chen Vijayan Sugumaran 《Computers, Materials & Continua》 SCIE EI 2020年第6期1545-1561,共17页
The two-stream convolutional neural network exhibits excellent performance in the video action recognition.The crux of the matter is to use the frames already clipped by the videos and the optical flow images pre-extr... The two-stream convolutional neural network exhibits excellent performance in the video action recognition.The crux of the matter is to use the frames already clipped by the videos and the optical flow images pre-extracted by the frames,to train a model each,and to finally integrate the outputs of the two models.Nevertheless,the reliance on the pre-extraction of the optical flow impedes the efficiency of action recognition,and the temporal and the spatial streams are just simply fused at the ends,with one stream failing and the other stream succeeding.We propose a novel hidden two-stream collaborative(HTSC)learning network that masks the steps of extracting the optical flow in the network and greatly speeds up the action recognition.Based on the two-stream method,the two-stream collaborative learning model captures the interaction of the temporal and spatial features to greatly enhance the accuracy of recognition.Our proposed method is highly capable of achieving the balance of efficiency and precision on large-scale video action recognition datasets. 展开更多
关键词 Action recognition collaborative learning optical flow
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Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system 认领 引用
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作者 Uchechukwu Awada Jiankang Zhang +2 位作者 Sheng Chen Shuangzhi Li Shouyi Yang 《Digital Communications and Networks》 SCIE CSCD 2024年第6期1837-1850,共14页
Recently,several edge deployment types,such as on-premise edge clusters,Unmanned Aerial Vehicles(UAV)-attached edge devices,telecommunication base stations installed with edge clusters,etc.,are being deployed to enabl... Recently,several edge deployment types,such as on-premise edge clusters,Unmanned Aerial Vehicles(UAV)-attached edge devices,telecommunication base stations installed with edge clusters,etc.,are being deployed to enable faster response time for latency-sensitive tasks.One fundamental problem is where and how to offload and schedule multi-dependent tasks so as to minimize their collective execution time and to achieve high resource utilization.Existing approaches randomly dispatch tasks naively to available edge nodes without considering the resource demands of tasks,inter-dependencies of tasks and edge resource availability.These approaches can result in the longer waiting time for tasks due to insufficient resource availability or dependency support,as well as provider lock-in.Therefore,we present Edge Colla,which is based on the integration of edge resources running across multi-edge deployments.Edge Colla leverages learning techniques to intelligently dispatch multidependent tasks,and a variant bin-packing optimization method to co-locate these tasks firmly on available nodes to optimally utilize them.Extensive experiments on real-world datasets from Alibaba on task dependencies show that our approach can achieve optimal performance than the baseline schemes. 展开更多
关键词 Edge computing Collaborative learning Resource utilization Execution time Edge federation Gang scheduling
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A Sentinel-Based Peer Assessment Mechanism for Collaborative Learning 认领 引用
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作者 Cong Wang Mingming Zhao +1 位作者 Qinyue Wang Min Li 《Computers, Materials & Continua》 SCIE EI 2020年第12期2309-2319,共11页
This paper introduces a novel mechanism to improve the performance of peer assessment for collaborative learning.Firstly,a small set of assignments which have being pre-scored by the teacher impartially,are introduced... This paper introduces a novel mechanism to improve the performance of peer assessment for collaborative learning.Firstly,a small set of assignments which have being pre-scored by the teacher impartially,are introduced as“sentinels”.The reliability of a reviewer can be estimated by the deviation between the sentinels’scores judged by the reviewers and the impartial scores.Through filtering the inferior reviewers by the reliability,each score can then be subjected into mean value correction and standard deviation correction processes sequentially.Then the optimized mutual score which mitigated the influence of the subjective differences of the reviewers are obtained.We perform our experiments on 200 learners.They are asked to submit their assignments and review each other.In the experiments,the sentinel-based mechanism is compared with several other baseline algorithms.It proves that the proposed mechanism can effectively improve the accuracy of peer assessment,and promote the development of collaborative learning. 展开更多
关键词 Smart education peer assessment collaborative learning
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Exploring the Influences of Elementary School Students' Learning Motivation on Web-Based Collaborative Learning 认领 引用 被引量：2
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作者 Huang Chin-Fei Liu Chia-Ju 《US-China Education Review(A)》 2012年第6期613-618,共6页
The purpose of this study is to explore the influences of students＇ learning motivation on Web-based collaborative learning. This study conducted learning materials of Web pages about science and collaborative learni... The purpose of this study is to explore the influences of students＇ learning motivation on Web-based collaborative learning. This study conducted learning materials of Web pages about science and collaborative learning, a motivation questionnaire and interviews were used for data collection. Eighty Grade 5 students and a science teacher were recruited in this study. The controlled group involved 40 students who need to learn the dissolve concept on the Web pages, and complete the homework which was assigned by the Web pages by themselves. The experimental group involved the other 40 students and every four students were grouped in a team. The experimental group students not only need to learn the dissolve concept on Web pages, but also need to complete the homework which was assigned by the Web pages with team members. Besides, the experimental group students need to present their homework to other teams and provide feedbacks and suggestions to other teams. The results showed that experimental group significantly promoted their science learning motivation by using Web-based collaborative learning. 展开更多
关键词 collaborative learning learning motivation Web-based learning
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Collaborative Learning: Increasing Students' Engagement Outside the Classroom 认领 引用 被引量：1
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作者 Rosario Hemandez 《US-China Education Review(A)》 2012年第9期804-812,共9页
Several factors, including the Bologna process, the embargo on university posts, and a larger student population pursuing degrees, have contributed to radical changes in teaching, learning, and assessment in Irish hig... Several factors, including the Bologna process, the embargo on university posts, and a larger student population pursuing degrees, have contributed to radical changes in teaching, learning, and assessment in Irish higher education in the last few years. Challenges to academics have resulted in curriculum reform, and most importantly, in innovative practices in which the curriculum is delivered and assessed. It was in this context that a collaborative component has been introduced into Level 2 Spanish language modules at University College Dublin. A small action research project has been undertaken to explore the students＇ views about this innovative way of learning. This article addresses the extent to which collaborative learning outside the classroom contributes to the enhancement of student learning and it examines the obstacles encountered by the students during the semester. The discussion of the findings focuses on feedback from the students and on group reflections submitted via blackboard, the university＇s VLE （virtual learning environment）. 展开更多
关键词 collaborative learning learning tasks self-directed learning
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Collaborative Learning Method for Natural Image Captioning 认领 引用
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作者 Rongzhao Wang Libo Liu 《国际计算机前沿大会会议论文集》 2022年第1期249-261,共13页
We propose a collaborative learning method to solve the natural image captioning problem.Numerous existing methods use pretrained image classification CNNs to obtain feature representations for image caption generatio... We propose a collaborative learning method to solve the natural image captioning problem.Numerous existing methods use pretrained image classification CNNs to obtain feature representations for image caption generation,which ignores the gap in image feature representations between different computer vision tasks.To address this problem,our method aims to utilize the similarity between image caption and pix-to-pix inverting tasks to ease the feature representation gap.Specifically,our framework consists of two modules:1)The pix2pix module(P2PM),which has a share learning feature extractor to extract feature representations and a U-net architecture to encode the image to latent code and then decodes them to the original image.2)The natural language generation module(NLGM)generates descriptions from feature representations extracted by P2PM.Consequently,the feature representations and generated image captions are improved during the collaborative learning process.The experimental results on the MSCOCO 2017 dataset prove the effectiveness of our approach compared to other comparison methods. 展开更多
关键词 Image captioning Pix2pix inverting Collaborative learning
Collaborative Learning Groups in Higher Education 认领 引用
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作者 Carmen Medina Garríguez Roslyn Billy-Mohamed 《US-China Education Review(A)》 2014年第7期500-508,共9页
The paper reflects the work presented at The 6th Annual Kingdom of Saudi Arabia Association of Language Teachers （KSAALT） Conference, which took place in AI Khobar in May 2013. The purpose of the workshop was to ill... The paper reflects the work presented at The 6th Annual Kingdom of Saudi Arabia Association of Language Teachers （KSAALT） Conference, which took place in AI Khobar in May 2013. The purpose of the workshop was to illustrate the collaborative teaching and learning model that is being carried out at a Middle Eastern women＇s college. The workshop started with a brief account of the context in which the research was taking place followed by a description of the model of collaborative teaching and learning being used. The authors also presented the theories which form the basis of their work, namely, the Expectancy-Value Theory, the Achievement-Goal Theory, the Service-Learning Theory, and Universal Design for Learning （UDL）. They used the Common European Framework of Reference for Languages as a model to distinguish the learner levels and developed two Websites as a support to their instruction. Subsequently, the participants were presented with a selection of tasks in order to experience the method first hand. The workshop ended with an illustration of the effectiveness of the strategies and techniques. The instructor team teaches two subjects： Information Resources （IR 101） and Research Writing （ENG 103）, at Prince Sultan University-College for Women in Riyadh （Saudi Arabia）. 展开更多
关键词 collaborative learning higher education Websites writing research project-based learning methodology
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Towards a Collaborative Learning Environment Through ICT: A Case Study 认领 引用
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作者 Suryani Atan 《Sino-US English Teaching》 2013年第1期53-57,共5页
This paper expounds how the possibility of collaboration and construction of knowledge being put into practice in a group of ICT （information and communication technologies）-based teaching and learning programmes fo... This paper expounds how the possibility of collaboration and construction of knowledge being put into practice in a group of ICT （information and communication technologies）-based teaching and learning programmes for Mother Tongue languages, collectively known as 10＇CMT. 10＇CMT, which is initiated by the ETD （Educational Technology Division） of MOE （Ministry of Education） Singapore, embodies a focus on the development of relevant pedagogy by which web-based technologies are embedded in meaningful learning activities in the classroom. Through a case study of a primary school in Singapore, this paper exemplifies how 10＇CMT has the ability to promote collective knowledge and, by doing so, essentially supporting the growth of the individual student＇s knowledge. It draws on the students＇ engagement in peer editing, peer evaluation, peer interaction, and feedback with self-reflective practices through the affordances of an array of online tools. This paper will also discuss how the 10＇CMT approach promotes the ability to respond flexibly to complex problems, to communicate effectively, to manage information, to work in teams, to use technology, and to produce new knowledge which are deemed to be crucial competencies for 21 st century. 展开更多
关键词 collaborative learning mother tongue language ICT （information and communicationtechnologies）-based lesson student-centred
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Promoting Collaborative Learning in Dynamics Remedial Course 认领 引用
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作者 Jacek Uziak Moses Tunde Oliran Marian Gizjowski 《Journal of Mechanics Engineering and Automation》 2011年第5期365-376,共12页
The paper reports on collaborative learning approach to a remedial class in Dynamics. It uses the Kolb model and 4MAT learning system to introduce a learning cycle based on collaborative problem solving exercises. The... The paper reports on collaborative learning approach to a remedial class in Dynamics. It uses the Kolb model and 4MAT learning system to introduce a learning cycle based on collaborative problem solving exercises. The teaching approach based on learning cycle is described giving examples of different teaching elements applied in particular quadrants of the learning cycle. The attitude of students and their different approaches to, learning are presented and discussed in detail. The results presented cover different aspects of the course delivery and students＇ perception. The results include students＇ statistics with respect to their registration and previous history related to the course, their motivatiion, assessment and satisfaction with the approach applied. This initial introduction of cooperative activities into the remedial Dynamics class can be assessed as a positive step in increasing student understanding and performance in the course. The students＇ positive reception of the non-traditional teaching method and their overall improved performance seem to confirm the advantages of collaborative leaming. In terms of the final grades, the results of the experiment were not as good as expected. However, the application of 4MAT learning system which exposed students to a variety of diverse learning styles improved the quality of education. The positive aspect of the experiment was the attitude of students and their acceptance of the new mode of course delivery. In conclusion collaborative learning could be extended beyond remedial groups to normal student classes. 展开更多
关键词 Collaborative learning remedial course problem solving.
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An Investigation of a Collaborative Learning Framework in Classroom Teaching——an action research 认领 引用
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作者 Lin Wang 《教育研究前沿（中英文版）》 2020年第1期39-44,共6页
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 adap... 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. 展开更多
关键词 Collaborative Learning Peer Interaction Adaptation Framework
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Research on Collaborative Learning in Network Learning Environment 认领 引用
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作者 Changqing DU Jijian LU 《International Journal of Technology Management》 2015年第6期107-109,共3页
This paper summarizes the basic content of network curriculum design based on online learning mode and the basic flow, as well as network course should have the factors that suitable of the mode and attention matters ... This paper summarizes the basic content of network curriculum design based on online learning mode and the basic flow, as well as network course should have the factors that suitable of the mode and attention matters in the design collaboration mode of network course. Based on this, other researchers and practitioners can conveniently and effectively design network course based on the cooperation mode. Through the analysis of the network curriculum development and the actual case, verify advantage of collaborative online learning mode. 展开更多
关键词 Learning environment Collaboration learning activities Online Training Online Course
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Enhancing object detection through global collaborative learning 认领 引用
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作者 Weidong Zhao Jian Chen +1 位作者 Xianhui Liu Jiahuan Liu 《Autonomous Intelligent Systems》 EI 2025年第1期34-41,共8页
Object detection serves as a challenging yet crucial task in computer vision.Despite significant advancements,modern detectors remain struggling with task alignment between localization and classification.In this pape... Object detection serves as a challenging yet crucial task in computer vision.Despite significant advancements,modern detectors remain struggling with task alignment between localization and classification.In this paper,Global Collaborative Learning(GCL)is introduced to address these challenges from often-overlooked perspectives.First,the essence of GCL is reflected in the label assignment of the detector.Adjusting the loss function to transform samples with strong localization yet weak classification into high-quality samples in both tasks,provides more effective training signals,enabling the model to capture key consistent features.Second,the spirit of GCL is embodied in the head design.By enabling global feature interaction within the decoupled head,the approach ensures that final predictions are made more comprehensively and robustly,thereby preventing the two independent branches from converging into suboptimal solutions for their respective tasks.Extensive experiments on the challenging MS COCO and CrowdHuman datasets demonstrate that the proposed GCL method substantially enhances performance and generalization capabilities. 展开更多
关键词 Object detection Global collaborative learning Task alignment Label assignment Feature interaction
Efficient foundation model service provision over airborne networks:Collaborative tuning and inference 认领 引用
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作者 Zihan CHEN Longyu ZHOU +2 位作者 Shengyu ZHANG Chenyuan FENG Dusit NIYATO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期98-110,共13页
Deploying foundation models across distributed airborne networks offers a promising solution for delivering flexible,high-coverage,and on-demand generative AI services.However,the deployment and tuning of foundation m... Deploying foundation models across distributed airborne networks offers a promising solution for delivering flexible,high-coverage,and on-demand generative AI services.However,the deployment and tuning of foundation models present critical challenges on airborne platforms such as Unmanned Aerial Vehicles(UAVs),due to the intensive computational requirements,substantial memory footprint,and high communication overhead,particularly given these platforms'limited power and memory capacity as well as the limited communication connections.In view of these,a collaborative fine-tuning and inference framework for deploying foundation models over UAV networks is proposed,which employs a split model deployment strategy to distribute computational loads across multiple UAVs.The framework also incorporates a multi-stage fine-tuning approach utilizing a large vision model-based knowledge distillation and personalized local tuning to further enhance performance while maintaining system stability despite UAV mobility.The proposed framework could achieve foundation model fine-tuning in a memory-and computationefficient manner.To further improve the communication and computation efficiency,two variants of the framework are proposed via leveraging over-the-air computations and parameter-efficient fine-tuning techniques in communication and local computation.Extensive experimental evaluation demonstrates the superior and stable performance of the proposed framework compared to baselines in terms of generalization,communication efficiency,memory efficiency,and scalability. 展开更多
关键词 Airborne networks Federated learning Collaborative learning Large model fine-tuning UAV communications Foundation models
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Using Framing Theory to Facilitate the Influence of Collaborative Learning on Teacher Noticing:A Case of Chinese Lesson Study 认领 引用 被引量：1
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作者 Siyu Zuo Chunxia Qi 《ECNU Review of Education》 2025年第3期830-852,共23页
Purpose:This study investigates how collaborative,lesson study-style professional development improves teacher noticing behaviors in the context of unit-based mathematics teaching in China.We employed framing theory t... Purpose:This study investigates how collaborative,lesson study-style professional development improves teacher noticing behaviors in the context of unit-based mathematics teaching in China.We employed framing theory to understand the phenomenon.First,the study aims to reveal the change in teacher noticing and frames before and after professional development;second,it seeks to clarify the influence of cultural factors in these changes.Design/Approach/Methods:Questionnaires were used to collect data on l0 teacher noticing skills and semi-structured interviews were used to explore their views of the factors influencing change.These data were analyzed thematically to identify noticing behaviors,infer frames,and identify sociocultural influences;the Wilcoxon signed-rank test was used to reveal changes in noticing behaviors.Findings:First,teachers demonstrated varying degrees of improvement in three sub-skills of noticing and five teachers demonstrated a shift in framing.Second,the cultural factors influencing these shifts were summarized.OriginalityNalue:This study enriches the literature on teacher noticing and frames by providing a detailed analysis of a lesson study,and it contributes to the theories of teacher noticing and framing. 展开更多
关键词 Chinese mathematics teachers collaborative learning framing theory lesson study teacher noticing
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A Cybernetic Guide to Implementing AI for Collaborative Learning:A Synthesis of Four Studies Conducted with Adult Learners 认领 引用
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作者 Shantanu Tilak 《Frontiers of Digital Education》 2025年第4期71-89,共19页
This paper synthesizes four studies conducted at a special education independent school and affiliated liberal arts university with teachers,senior high school students,and college learners 18 and up,focusing on apply... This paper synthesizes four studies conducted at a special education independent school and affiliated liberal arts university with teachers,senior high school students,and college learners 18 and up,focusing on applying AI to(1)design course blueprints,(2)create comic strip assignments,(3)mediate interactive Socratic discussions,and(4)use learning data to assist students with disabilities in mathematics classes.Gordon Pask’s cybernetics is used to visualize interactions to show how AI acts as a component in emergent networks of minds in motion.The four sets of results,taken together,showcase how to implement principles of cybernetics in designing AI-mediated collaborative classrooms.Five out of six configurations of AI’s collaborative use outlined by Mike Sharples that the author’s research program has so far explored are presented through the four study scenarios and tied back to grey areas carved out by experts in AI education research concerned with design and implementation,classroom relationships,and assessment.Implications of current progress in the principal investigator’s research and further directions yet to be undertaken in implementing a series of subject-specific educational scenarios to utilize AI as a collaborative coach are discussed.Practical suggestions to shepherd effective AI-mediated curriculum design,classroom problem-solving and information acquisition,as well as nimble student evaluation are provided. 展开更多
关键词 AI special education AI-mediated collaborative learning cybernetics
Mitigating Attribute Inference in Split Learning via Channel Pruning and Adversarial Training 认领 引用
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作者 Afnan Alhindi Saad Al-Ahmadi Mohamed Maher Ben Ismail 《Computers, Materials & Continua》 SCIE EI 2026年第3期1465-1489,共25页
Split Learning(SL)has been promoted as a promising collaborative machine learning technique designed to address data privacy and resource efficiency.Specifically,neural networks are divided into client and server subn... Split Learning(SL)has been promoted as a promising collaborative machine learning technique designed to address data privacy and resource efficiency.Specifically,neural networks are divided into client and server subnetworks in order to mitigate the exposure of sensitive data and reduce the overhead on client devices,thereby making SL particularly suitable for resource-constrained devices.Although SL prevents the direct transmission of raw data,it does not alleviate entirely the risk of privacy breaches.In fact,the data intermediately transmitted to the server sub-model may include patterns or information that could reveal sensitive data.Moreover,achieving a balance between model utility and data privacy has emerged as a challenging problem.In this article,we propose a novel defense approach that combines:(i)Adversarial learning,and(ii)Network channel pruning.In particular,the proposed adversarial learning approach is specifically designed to reduce the risk of private data exposure while maintaining high performance for the utility task.On the other hand,the suggested channel pruning enables the model to adaptively adjust and reactivate pruned channels while conducting adversarial training.The integration of these two techniques reduces the informativeness of the intermediate data transmitted by the client sub-model,thereby enhancing its robustness against attribute inference attacks without adding significant computational overhead,making it wellsuited for IoT devices,mobile platforms,and Internet of Vehicles(IoV)scenarios.The proposed defense approach was evaluated using EfficientNet-B0,a widely adopted compact model,along with three benchmark datasets.The obtained results showcased its superior defense capability against attribute inference attacks compared to existing state-of-the-art methods.This research’s findings demonstrated the effectiveness of the proposed channel pruning-based adversarial training approach in achieving the intended compromise between utility and privacy within SL frameworks.In fact,the classification accuracy attained by the attackers witnessed a drastic decrease of 70%. 展开更多
关键词 Split learning privacy-preserving split learning distributed collaborative machine learning channel pruning adversarial learning resource-constrained devices
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Trustworthy decentralized collaborative learning for edge intelligence:A survey 认领 引用
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作者 Dongxiao Yu Zhenzhen Xie +6 位作者 Yuan Yuan Shuzhen Chen Jing Qiao Yangyang Wang Yong Yu Yifei Zou Xiao Zhang 《High-Confidence Computing》 EI 2023年第3期89-103,共15页
Edge intelligence is an emerging technology that enables artificial intelligence on connected systems and devices in close proximity to the data sources.decentralized collaborative learning(DCL)is a novel edge intelli... Edge intelligence is an emerging technology that enables artificial intelligence on connected systems and devices in close proximity to the data sources.decentralized collaborative learning(DCL)is a novel edge intelligence technique that allows distributed clients to cooperatively train a global learning model without revealing their data.DCL has a wide range of applications in various domains,such as smart city and autonomous driving.However,DCL faces significant challenges in ensuring its trustworthiness,as data isolation and privacy issues make DCL systems vulnerable to adversarial attacks that aim to breach system confidentiality,undermine learning reliability or violate data privacy.Therefore,it is crucial to design DCL in a trustworthy manner,with a focus on security,robustness,and privacy.In this survey,we present a comprehensive review of existing efforts for designing trustworthy DCL systems from the three key aformentioned aspects:security,robustness,and privacy.We analyze the threats that affect the trustworthiness of DCL across different scenarios and assess specific technical solutions for achieving each aspect of trustworthy DCL(TDCL).Finally,we highlight open challenges and future directions for advancing TDCL research and practice. 展开更多
关键词 Trustworthy machine learning Decentralized collaborative learning Security Robustness Privacy
Cultural Flows and Pedagogical Dilemmas: Teaching with Collaborative Learning in the Chinese HE EFL ContextCultural Flows and Pedagogical Dilemmas: Teaching with Collaborative Learning in the Chinese HE EFL Context 认领 引用
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作者 林琳 《Chinese Journal of Applied Linguistics》 2017年第1期21-41,120,共21页
This study makes a qualitative inquiry into the use of collaborative learning in Chinese higher education （HE） EFL classrooms with its focus on students＇ experience. It seeks to reveal the dilemmas encountered by c... This study makes a qualitative inquiry into the use of collaborative learning in Chinese higher education （HE） EFL classrooms with its focus on students＇ experience. It seeks to reveal the dilemmas encountered by considering the cultural aspect of teaching and learning within the Chinese context. Drawing on data sources from 60 students＇ written reflections, 2 groups of post-hoc interviews and the researcher＇s field notes, the study reveals that： 1） the use of collaborative learning conflicts with students＇ formed learning behaviors and grammar- oriented exams; 2） guanxi as an indigenous Chinese sociocultural construct prevails in the language classrooms as a communicative tie among students, which facilitates students＇ interaction and peer collaboration; 3） power differentials, by contrast, engender less interaction and create distance among peers. Notwithstanding these incompatibilities, the study claims that collaborative learning is consonant with the Chinese culture that emphasizes collective orientation and socially appropriate behaviors during interaction. It is concerned with the right way of learning among peers. Finally, the study suggests ways for teacher educators to cope with these dilemmas. 展开更多
关键词 Chinese culture collaborative learning dilemmas qualitative inquiry
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