Hidden Two-Stream Collaborative Learning Network for Action Recognition

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.

A Sentinel-Based Peer Assessment Mechanism for Collaborative Learning

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.

Towards a Collaborative Learning Environment Through ICT： A Case Study

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.

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.

Promoting Collaborative Learning in Dynamics Remedial Course

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.

Research on Collaborative Learning in Network Learning Environment

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.

Trustworthy decentralized collaborative learning for edge intelligence:A survey

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.

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

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.

Using Agents in Web-Based Constructivist Collaborative Learning System

Web-based learning systems are one of the most interesting topics in the area of the application of computers to education. Collaborative learning, as an important principle in constructivist learning theory, is an important instruction mode for open and distance learning systems. Through collaborative learning, students can greatly improve their creativity, exploration capability, and social cooperation. This paper used an agent-based coordination mechanism to respond to the requirements of an efficient and motivating learn-ing process. This coordination mechanism is based on a Web-based constructivist collaborative learning system, in which students can learn in groups and interact with each other by several kinds of communica-tion modes to achieve their learning objectives efficiently and actively. In this learning system, artificial agents represent an active part in the collaborative learning process; they can partially replace human in-structors during the multi-mode interaction of the students.

Facilitating learning together in Iranian context： Three collaborative oral feedback models in EFL writing classes

Peer response activities take place in different modes, and the different modes affect the roles participants play. These modes can be written, oral, or a combination of both. The purpose of this study is to see how teacher-response, peer-response, and a combination of both in oral mode can be effective in accomplishing the learning/teaching goals of both the students and the teachers in a collaborative Iranian setting to achieve this goal, the researcher chose 60 students as the eligible members of the sample participating in this study. The participants--15 males and 45 females--were all Iranian Persian native speakers aged between 22 and 25 majoring in English translation at university level. They were assigned to three homogeneous groups based on the obtained scores on Oxford Placement Test and a sample paragraph on a given topic, emphasizing the expository genre. They covered five topics in a sequence of ten written texts--before and after receiving feedback--over a 15-week semester. All the written tasks were collected and scored analytically to track any improvement and assay the effects of different feedback sources on students＇ writing performances. The results revealed that： First, oral feedback had a significant effect on students＇ revised drafts and students incorporated the comments provided by the teacher, peers, or both in the process of draft editing; Second, of the three feedback sources the students benefited from teacher＇s feedback more than peers＇ feedback; and finally, the collaborative oral feedback model had a significant effect on students＇ writing. In addition, this method provided a practical foreign-language-learning experience for the Iranian students to share their common linguistic goals and gave a new sense to collaborative learning tasks in EFL writing classes.

Collaborative Learning Method for Natural Image Captioning

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.

Operation and Consideration of a Pipe Corrosion Inspection System Based on Human-in-the-Loop Machine Learning

The aim of this study is to improve the efficiency of external corrosion inspection of pipes in chemical plants.Currently,the preferred method involves manual inspection of images of corroded pipes;however,this places significant workload on human experts owing to the large number of required images.Furthermore,visual assessment of corrosion levels is prone to subjective errors.To address these issues,we developed an AI(artificial intelligence)-based corrosion-diagnosis system(AI corrosion-diagnosis system)and implemented it in a factory.The proposed system architecture was based on HITL(human-in-the-loop)ML(machine learning)[1].To overcome the difficulty of developing a highly accurate ML model during the PoC(proof-of-concept)stage,the system relies on cooperation between humans and the ML model,utilizing human expertise during operation.For instance,if the accuracy of the ML model was initially 60%during the development stage,a cooperative approach would be adopted during the operational stage,with humans supplementing the remaining 40%accuracy.The implemented system’s ML model achieved a recall rate of approximately 70%.The system’s implementation not only contributed to the efficiency of operations by supporting diagnosis through the ML model but also facilitated the transition to systematic data management,resulting in an overall workload reduction of approximately 50%.The operation based on HITL was demonstrated to be a crucial element for achieving efficient system operation through the collaboration of humans and ML models,even when the initial accuracy of the ML model was low.Future efforts will focus on improving the detection of corrosion at elevated locations by considering using video cameras to capture pipe images.The goal is to reduce the workload for inspectors and enhance the quality of inspections by identifying corrosion locations using ML models.

Service Learning at National Taipei College of Business, 2012-2013＂ New Perspectives on Community, Peer-Based Education

Service learning （also known as peer learning） has received increased attention in tertiary education. By linking learning with authentic volunteer work experience, service learning bridges the gap between theoretical study and practical reality. This practice can increase students＇ professional knowledge, educational development, self-esteem, and awareness of social responsibility. Service learning became a mandatory requirement for all students at National Taipei College of Business （NTCB; now National Taipei University of Business） in 2011, and this is the focus of this study, extending into the 2012 school year. This course-based program allows undergraduate language majors to put their language skills into practice by teaching peers, and also through other volunteer work. This program has greatly benefitted undergraduate students at the school. This study will examine course data, student reports, and interviews with student teachers. The researchers have documented the implementation of the peer-mentor program at NTCB, and the learning gains experienced among students and the professors who assisted in these processes.

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.

Study on Implicit and Explicit Learning Theory in English Grammar Teaching

The teachers use explicit learning in the traditional teaching of English grammar, which pays great attention to the master of grammar knowledge points. Nowadays, some English teachers excessively emphasize the importance of teaching grammar imperceptibly, but neglect to explain the rules of grammar. The diametrically isolation of implicit and explicit learning doesn＇t correspond with the English grammar teaching. So the teachers should combine the two learning styles in order to make the best use of them to teach English grammar.

Use of Blackboard Collaborate at Qassim University： Evaluating Teachers＇ Perceptions

Learning has come a long way from the conventional blackboard that marked the earlier decades to the new age Blackboard Collaborate which enables learners to work and learn in a collaborative online environment. Virtual classrooms, especially with learners sharing in academic workload on portals such as Google Docs, have arrived as a natural development of the ICT （In Circuit Tester） wave. In addition to offering ample scope for peer interaction, Blackboard Collaborate gives learners the electronic environment they are most familiar with and keeps them updated with the latest educational tools. However, for it to succeed, the perception of the teachers is a factor that needs close scrutiny before this tool can be incorporated into the system. The aim of this paper is to investigate the perceptions of teachers at Qassim University, KSA （Kingdom of Saudi Arabia） towards the inclusion of Blackboard Collaborate into the teaching-learning environment, and its efficacy as a learning tool in the university＇s EFL （English as a Foreign Language） situation.

Cross-Cultural Composition： Seeing Ourselves and Seeing Others

This paper is a description of a writing course that was designed and implemented to provide first year composition students from two cultures and two countries the opportunity to partner together on writing assignments. The purpose is to explore home culture and target culture issues. This qualitative study is based on the premise that assignments which encourage critical thinking and metacognitive analysis about culture enhance cross-cultural understanding, breakdown ethnic stereotypes, and provide opportunities for students to understand the benefits of cultural diversity first hand. Success of breaking down cultural barriers was limited, but promising for future endeavors.

Federated Learning on Multimodal Data:A Comprehensive Survey

With the growing awareness of data privacy,federated learning(FL)has gained increasing attention in recent years as a major paradigm for training models with privacy protection in mind,which allows building models in a collaborative but private way without exchanging data.However,most FL clients are currently unimodal.With the rise of edge computing,various types of sensors and wearable devices generate a large amount of data from different modalities,which has inspired research efforts in multimodal federated learning(MMFL).In this survey,we explore the area of MMFL to address the fundamental challenges of FL on multimodal data.First,we analyse the key motivations for MMFL.Second,the currently proposed MMFL methods are technically classified according to the modality distributions and modality annotations in MMFL.Then,we discuss the datasets and application scenarios of MMFL.Finally,we highlight the limitations and challenges of MMFL and provide insights and methods for future research.

A Critical Analysis of Group Work in Chinese University EFL Classes

In the past few years,group activities have been warmly welcomed by EFL(English as a foreign language)classes in Chi-na,but few studies have discussed it from a critical perspective.Thus,this study explores from students’experiences what and whythe strengths and weaknesses of group work in actual contexts appear.The findings reveal that Chinese learners regard group workas an effective interactive activity for language,personal,and emotional development.However,the possible pitfalls,such as pseu-dogroups,unequal participation,groupthink,L1(first language)influence may prevent learners from obtaining the benefits of CL(collaborative learning).Finally,some suggestions are given,with the purpose of creating a more suitable facilitative EFL classroomenvironment for future Chinese EFL teaching and learning.

Collaborative eye tracking based code review through real-time shared gaze visualization

Code review is intended to find bugs in early development phases,improving code quality for later integration and testing.However,due to the lack of experience with algorithm design,or software development,individual novice programmers face challenges while reviewing code.In this paper,we utilize collaborative eye tracking to record the gaze data from multiple reviewers,and share the gaze visualization among them during the code review process.The visualizations,such as borders highlighting current reviewed code lines,transition lines connecting related reviewed code lines,reveal the visual attention about program functions that can facilitate understanding and bug tracing.This can help novice reviewers to make sense to confirm the potential bugs or avoid repeated reviewing of code,and potentially even help to improve reviewing skills.We built a prototype system,and conducted a user study with paired reviewers.The results showed that the shared real-time visualization allowed the reviewers to find bugs more efficiently.