Application of Cooperative Learning and Flipped Classrooms in University Basketball Courses in China

This study investigates the application of the teaching model combining cooperative learning and flipped classrooms in university basketball courses in China.By analyzing the advantages and disadvantages of the traditional basketball teaching model and students’satisfaction with the course,the necessity of implementing cooperative learning and flipped classrooms is proposed.The study planned in detail the implementation strategies before class,in the classroom,and after class,and compared them with the control group through an experimental design.The experimental results showed that the new teaching mode demonstrated significant advantages in terms of learning outcomes,student satisfaction,and teacher evaluation.This study provides a valuable reference for the future reform of the physical education curriculum.

Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control

This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system.A novel regional multi-agent cooperative reinforcement learning algorithm called RegionSTLight is proposed to improve the traffic efficiency.Firstly a regional multi-agent Q-learning framework is proposed,which can equivalently decompose the global Q value of the traffic system into the local values of several regions Based on the framework and the idea of human-machine cooperation,a dynamic zoning method is designed to divide the traffic network into several strong-coupled regions according to realtime traffic flow densities.In order to achieve better cooperation inside each region,a lightweight spatio-temporal fusion feature extraction network is designed.The experiments in synthetic real-world and city-level scenarios show that the proposed RegionS TLight converges more quickly,is more stable,and obtains better asymptotic performance compared to state-of-theart models.

The Effectiveness of Group Cooperative Learning Method in Badminton Teaching in Colleges and Universities

In college badminton teaching,teachers utilize the group cooperative learning method,which not only helps to improve students’badminton skill level but also cultivates their teamwork spirit,communication skills,and self-management ability unconsciously.In view of this,this paper mainly describes the significance of applying the group cooperative learning method in college badminton teaching,analyzes the current problems in college badminton teaching,and aims to discover effective development strategies for group cooperative learning method in college badminton teaching in order to improve the effectiveness of college badminton teaching.

Cooperative multi-target hunting by unmanned surface vehicles based on multi-agent reinforcement learning

To solve the problem of multi-target hunting by an unmanned surface vehicle(USV)fleet,a hunting algorithm based on multi-agent reinforcement learning is proposed.Firstly,the hunting environment and kinematic model without boundary constraints are built,and the criteria for successful target capture are given.Then,the cooperative hunting problem of a USV fleet is modeled as a decentralized partially observable Markov decision process(Dec-POMDP),and a distributed partially observable multitarget hunting Proximal Policy Optimization(DPOMH-PPO)algorithm applicable to USVs is proposed.In addition,an observation model,a reward function and the action space applicable to multi-target hunting tasks are designed.To deal with the dynamic change of observational feature dimension input by partially observable systems,a feature embedding block is proposed.By combining the two feature compression methods of column-wise max pooling(CMP)and column-wise average-pooling(CAP),observational feature encoding is established.Finally,the centralized training and decentralized execution framework is adopted to complete the training of hunting strategy.Each USV in the fleet shares the same policy and perform actions independently.Simulation experiments have verified the effectiveness of the DPOMH-PPO algorithm in the test scenarios with different numbers of USVs.Moreover,the advantages of the proposed model are comprehensively analyzed from the aspects of algorithm performance,migration effect in task scenarios and self-organization capability after being damaged,the potential deployment and application of DPOMH-PPO in the real environment is verified.

Research and Study on Cooperative Learning with special Reference to Vocational Students of Practical English class

This paper covers an experimental study with the application of cooperative learning in the college English teaching to vocational students. It intends to find answers to the following questions: how do students cooperate in cooperative learning? Can cooperative learning promote students' learning? The author conducts an experiment by applying recording. Based on the above research work, this result has been reached: cooperative learning can promote students'mastering of vocabulary and grammar. The author would like to share her experiences with others in pedagogical studies of teaching vocational college students English.

Cooperative Learning in Mediterranean European Cultural Settings:Taking Classroom Teaching in UMA as an Example

This paper provides an exploration of cooperative learning(CL) in a Mediterranean European cultural setting, taking classroom teaching in the University of Málaga(UMA) as an example. An important part of the paper is on the definitions of CL, second language acquisition(SLA) and relative literature by scholars or educators home and abroad, such as historical and contemporary views of CL, its development and application in a variety of classrooms, esp. in multi-lingual settings, in UMA. It also puts much emphasis on sociocultural aspects of CL. Besides, this paper compares the application of CL with that in SWUST,one public university in Southwest China. In views of current problems and awkward situations in the application of CL, the paper argues that the qualified teachers and quality monitoring systems are the two major decisive factors that affect the achievement of CL in Spanish institutions. This paper also analyzes the main characteristics of the classroom teaching in Mediterranean European Cultural Settings. Thus, the paper suggests that CL may be one of the most efficient approaches to improving the quality of education in UMA. Finally, the paper concludes with recommendations and suggestions that Spanish institutions train more wellqualified teachers to meet the increasing demand of CL approach in multi-contextual or multi-lingual settings.

The Effects of Cooperative-learning in the Oral English Class

Oral English teaching is one of the essential parts in language teaching. However, the oral English teaching in Chinese college English large-scale classes is far from satisfactory. In the instruction process arise a variety of problems such as the passiveness of learners, the failure of timely feedback transmission and fewer chances of oral English practice.This study aims to probe into the effects of cooperative-learning in the oral English teaching of large-scale classes. It is the author's belief that cooperative learning may effectively improve college oral English teaching in large-scale classes.

A review of mobile robot motion planning methods:from classical motion planning workflows to reinforcement learning-based architectures

Motion planning is critical to realize the autonomous operation of mobile robots.As the complexity and randomness of robot application scenarios increase,the planning capability of the classical hierarchical motion planners is challenged.With the development of machine learning,the deep reinforcement learning(DRL)-based motion planner has gradually become a research hotspot due to its several advantageous feature.The DRL-based motion planner is model-free and does not rely on the prior structured map.Most importantly,the DRL-based motion planner achieves the unification of the global planner and the local planner.In this paper,we provide a systematic review of various motion planning methods.Firstly,we summarize the representative and state-of-the-art works for each submodule of the classical motion planning architecture and analyze their performance features.Then,we concentrate on summarizing reinforcement learning(RL)-based motion planning approaches,including motion planners combined with RL improvements,map-free RL-based motion planners,and multi-robot cooperative planning methods.Finally,we analyze the urgent challenges faced by these mainstream RLbased motion planners in detail,review some state-of-the-art works for these issues,and propose suggestions for future research.

Squeezing More Past Knowledge for Online Class-Incremental Continual Learning

Continual learning(CL)studies the problem of learning to accumulate knowledge over time from a stream of data.A crucial challenge is that neural networks suffer from performance degradation on previously seen data,known as catastrophic forgetting,due to allowing parameter sharing.In this work,we consider a more practical online class-incremental CL setting,where the model learns new samples in an online manner and may continuously experience new classes.Moreover,prior knowledge is unavailable during training and evaluation.Existing works usually explore sample usages from a single dimension,which ignores a lot of valuable supervisory information.To better tackle the setting,we propose a novel replay-based CL method,which leverages multi-level representations produced by the intermediate process of training samples for replay and strengthens supervision to consolidate previous knowledge.Specifically,besides the previous raw samples,we store the corresponding logits and features in the memory.Furthermore,to imitate the prediction of the past model,we construct extra constraints by leveraging multi-level information stored in the memory.With the same number of samples for replay,our method can use more past knowledge to prevent interference.We conduct extensive evaluations on several popular CL datasets,and experiments show that our method consistently outperforms state-of-the-art methods with various sizes of episodic memory.We further provide a detailed analysis of these results and demonstrate that our method is more viable in practical scenarios.

无负采样的正样本增强图对比学习推荐方法PAGCL

对比学习(CL)因能够提取数据本身包含的监督信号而被广泛应用于推荐任务。最近的研究表明,CL在推荐方面的成功依赖于对比损失——互信息噪声对比估计(InfoNCE)损失带来的节点分布的均匀性。此外,另一项研究证明贝叶斯个性化排序(BPR)损失的正项与负项分别带来的对齐性和均匀性有助于提高推荐性能。由于在CL框架中对比损失能够带来比BPR负项更强的均匀性,BPR负项存在的必要性值得商榷。实验分析表明在对比框架中BPR的负项是不必要的,并基于这一观察提出了无需负采样的联合优化损失,可应用于经典的CL方法并达到相同或更高的性能。此外,与专注于提高均匀性的研究不同,为进一步加强对齐性,提出一种新颖的正样本增强的图对比学习方法(PAGCL),该方法使用随机正样本在节点表示层面进行扰动。在多个基准数据集上的实验结果表明,PAGCL在召回率及归一化折损累积增益(NDCG)这两个常用指标上均优于SOTA方法自监督图学习(SGL)、简单图对比学习(SimGCL)等,且相较于基模型轻量化图卷积(LightGCN)的NDCG@20提升最大可达17.6%。

Multi-UAV cooperative maneuver decision-making for pursuitevasion using improved MADRL

Aiming at the problem of multi-UAV pursuit-evasion confrontation, a UAV cooperative maneuver method based on an improved multi-agent deep reinforcement learning(MADRL) is proposed. In this method, an improved Comm Net network based on a communication mechanism is introduced into a deep reinforcement learning algorithm to solve the multi-agent problem. A layer of gated recurrent unit(GRU) is added to the actor-network structure to remember historical environmental states. Subsequently,another GRU is designed as a communication channel in the Comm Net core network layer to refine communication information between UAVs. Finally, the simulation results of the algorithm in two sets of scenarios are given, and the results show that the method has good effectiveness and applicability.

Effectiveness of Cooperative Learning in College English Reading Class

Cooperative learning emerging as the leading new approach to classroom instruction abroad over the past decades has been studied by many researchers from all aspects.This paper mainly focuses on the basics of cooperative learning and tries to answer the question that if the use of cooperative learning produce higher achievement than the traditional methods in college English reading class through experimental study.The analysis contributes to better college English teaching and learning.A conclusion is drawn that cooperative learning is very effective in improving college students reading ability.

Role Dynamic Allocation of Human-Robot Cooperation Based on Reinforcement Learning in an Installation of Curtain Wall

A real-time adaptive roles allocation method based on reinforcement learning is proposed to improve humanrobot cooperation performance for a curtain wall installation task.This method breaks the traditional idea that the robot is regarded as the follower or only adjusts the leader and the follower in cooperation.In this paper,a self-learning method is proposed which can dynamically adapt and continuously adjust the initiative weight of the robot according to the change of the task.Firstly,the physical human-robot cooperation model,including the role factor is built.Then,a reinforcement learningmodel that can adjust the role factor in real time is established,and a reward and actionmodel is designed.The role factor can be adjusted continuously according to the comprehensive performance of the human-robot interaction force and the robot’s Jerk during the repeated installation.Finally,the roles adjustment rule established above continuously improves the comprehensive performance.Experiments of the dynamic roles allocation and the effect of the performance weighting coefficient on the result have been verified.The results show that the proposed method can realize the role adaptation and achieve the dual optimization goal of reducing the sum of the cooperator force and the robot’s Jerk.

An Empirical Study of Cooperative Learning in Overcoming Reticence in College English Classroom

In order to explore the effectiveness of cooperative learning in overcoming college English classroom reticence,an experimental study was conducted with 134 non-English majors involved.The pre-and-post comparative analysis of classroom reticent level in the experimental classes and the controlled classes showed that cooperative learning could effectively reduce students’classroom reticence.

The Application of Cooperative Learning in the Oral English Classroom

外语教学的最终目标是培养学生用外语进行交际的能力。本文就"共同参与式教学法"的基本理论,探讨了"共同参与式"教学模式在英语口语课课堂的运用,指出口语课内容应符合学生的兴趣和成长需求,教学模式要以学生为中心,在培养学生运用英语进行交流的同时,也要注重培养学生的组织材料的能力、交际能力和独立思考能力。

A Study on the Effects of Cooperative Learning in English Reading Class in Vocational Colleges

Since the late 1990s, the study on cooperative learning has been an educational fad in linguistic circle. The previous studies have shown that cooperative learning is a good method of learning. However, very few Chinese English teachers have really or commonly tried to apply the theory of cooperative learning in English reading class. On the basis of reading some related literatures, the author combine his teaching experience and the reality of the teaching subjects to put forward the following questions：l） Whether cooperative learning helps improve students＇ reading achievements？ 2） Whether cooperative learning can inspire students＇ motivation in learning English？ 3） Whether cooperative learning can improve students＇ English reading ability？ The results of the study show that cooperative learning used in the English reading class can not only stimulate students＇ learning interests, boost the students＇ motivation, but also raise their English language proficiency and reading ability.

Cooperative Learning in Oral English Classroom Teaching in Higher Vocational Education

Cooperative learning in spoken English teaching process occupies an important position.It is a relatively new teaching method to provide students with more opportunities to speak English,to reduce the tension of the students,to enhance the enthusiasm of the students to participate in the oral group activities,and to improve the students' English speaking ability significantly.Cooperative learning has been widely used in teaching practice,but in spoken English classroom teaching,it is not be used completely.

Application of Cooperative Learning Method in Chinese Language Class in Traill International School,Bangkok

There have been a number of researches that investigated the effectiveness of using cooperative learning methods in second language learning.T his research aimes to identify the improving reading proficiency of students in a class w here the researcher applies a cooperative learning method on a group of students in learning C hinese as a second language in T raill International School.