The Role of Mathematics in STEAM Education under the“Double Reduction”Policy

This essay delves into the pivotal role of mathematics within the context of STEAM(science,technology,engineering,arts,and mathematics)education under China’s“Double Reduction”policy.Amidst a shifting global education landscape that emphasizes holistic growth,policies such as the“Double Reduction”strategy underscore the significance of well-rounded development alongside academic excellence.By advocating for a balanced approach to education,the policy resonates with the principles of STEAM education,which seeks to cultivate versatile and innovative individuals.Mathematics,acting as a unifying force,connects disparate STEAM disciplines,fostering interdisciplinary collaboration and preparing students to thrive in a rapidly evolving,technology-driven world.This essay provides an in-depth exploration of the multifaceted role of mathematics in STEAM education,drawing on specific cases and scholarly references to highlight its contributions to creativity,critical thinking,and holistic development.

Multi-Dimensional Analysis of China’s“Double Reduction” Policy

Under China’s“Double Reduction”policy,although the educational pressure has somewhat reduced,the mechanism of talent selection through examinations still exists,which means competition remains,leading to the internalization of education.This article analyzes the challenges faced by the“Double Reduction”policy from historical and current perspectives.The reasons for the internalization of education are examined and four recommendations for the further implementation of the“Double Reduction”policy are presented.

Analysis of the Influence and Countermeasures of China’s New Educational Policy“Double Reduction”-Take an After-School English Training Institution as an Example

Recently,the Chinese government has published a new policy,called“Double Reduction”,addressing the problems of the workloads of the students under high school,and in the after-school training institution.Under this current situation,many after-school training institutions are confronting serious difficulties,even have to shut down and exit the market.Thus,it is of great significance to carefully analyze and discuss the influence on a certain case and its countermeasures.The article discusses the background of the“Double Reduction”policy,which is exam-oriented education,quality-oriented education,and education modernization.The article analyzes the influence and countermeasures of the“Double Reduction”on a medium size after-school English training institution in Wenzhou,Zhejiang,China.By using the method of interview,this article presents specific data about the influence and detailed plans of transition.

The Correlation Study between Thinking Styles and English-Speaking Learning Strategies of Junior School Students under the Background of “Double Reduction” Policy

Based on Cognitive Style Theory,Oxford’s Speaking Learning Theory and Communicative Competence Theory,this paper adopts questionnaire method,uses Sternberg’s Thinking Style Inventory modified by Zhang Lifang,as well as Oxford’s Learning Strategies Scale,and combines with the actual situation of junior high school students’oral learning to design the questionnaire of speaking learning strategies.Eighth graders of a junior middle school in Sichuan Province are randomly selected as the research object.The statistical tool SPSS23.0 is used to conduct the descriptive analysis and Pearson correlation analysis of the questionnaire results to explore the overall situation of junior high school students’thinking styles and the use of English-speaking learning strategies as well as their correlation.According to the research,junior high school students generally tend to executive style,liberal style,conservative style,legislative style,hierarchic style.The use of speaking learning strategies is at an average level.They tend to use memory speaking strategies,social speaking strategies,affective speaking strategies,and cognitive speaking strategies.As a whole,there is a relatively significant correlation between thinking styles and speaking learning strategies.Specifically,there is a partial correlation between thinking styles and speaking learning strategies.

RIS-Assisted UAV-D2D Communications Exploiting Deep Reinforcement Learning

Device-to-device(D2D)communications underlying cellular networks enabled by unmanned aerial vehicles(UAV)have been regarded as promising techniques for next-generation communications.To mitigate the strong interference caused by the line-of-sight(LoS)airto-ground channels,we deploy a reconfigurable intelligent surface(RIS)to rebuild the wireless channels.A joint optimization problem of the transmit power of UAV,the transmit power of D2D users and the RIS phase configuration are investigated to maximize the achievable rate of D2D users while satisfying the quality of service(QoS)requirement of cellular users.Due to the high channel dynamics and the coupling among cellular users,the RIS,and the D2D users,it is challenging to find a proper solution.Thus,a RIS softmax deep double deterministic(RIS-SD3)policy gradient method is proposed,which can smooth the optimization space as well as reduce the number of local optimizations.Specifically,the SD3 algorithm maximizes the reward of the agent by training the agent to maximize the value function after the softmax operator is introduced.Simulation results show that the proposed RIS-SD3 algorithm can significantly improve the rate of the D2D users while controlling the interference to the cellular user.Moreover,the proposed RIS-SD3 algorithm has better robustness than the twin delayed deep deterministic(TD3)policy gradient algorithm in a dynamic environment.

Analysis of a multi-component system with double threshold control policy

This paper investigates a multi-component repairable system with double threshold control policy.The system is composed of n identical and independent components which operate simultaneously at the beginning,and it is down when the number of operating components decreases to k−1(k≤n).When the number of failed components is less than the value L,the repairman repairs them with a low repair rate.The high repair rate is activated as soon as L failed components present,and continues until the number of failed components drops to the value N−1.Applying the matrix analytical method,the Laplace transform technique and the properties of the phase type distribution,various performance measures including the availability,the rate of occurrence of failures,and the reliability are derived in transient and stationary regimes.Further,numerical examples are reported to show the behaviour of the system.

How to Optimize Homework Evaluation under the"Double Reduction"Policy?--An Analysis Based on Teachers'Attention Allocation

It is essential to ensure that teachers allocate adequate attention to homework evaluation and effectively carry it out in order to successfully implement the"double reduction"policy.From the perspective of teachers'attention allocation,this study employed the NVivo 12 software to conduct text analysis on 39 cases of homework evaluation reform practices in primary and secondary schools in City N,China,from 2017 to 2021.The findings indicate that homework evaluation reform in these schools is a practical problem-oriented behavioral decision,and implementing the"double reduction"policy enhances teachers'attention allocation on homework evaluation.The attention allocation of teachers encompasses multiple aspects,such as determining the purpose of evaluation,setting evaluation content,and selecting evaluation subjects and methods.Following the implementation of the"double reduction"policy,teachers allocate more attention to reducing the homework burden on students.However,certain issues persist in the practices of homework evaluation reform,including inadequate consideration of constraints,an unbalanced content structure,and a lack of process coordination.Therefore,under the"double reduction"policy,it is imperative to improve school incentive systems,enhance teachers'evaluation capabilities,and alleviate their workload.These measures can guide teachers to allocate more attention to homework evaluation,thereby enhancing the efficiency and sustainability of attention allocation and fully realizing the educational function of homework evaluation.

Can Private Tutoring Improve Academic Performance?A Meta-Analysis Based on 21 Empirical Studies

The"double reduction"policy has shown initial success over the past three years.However,parents and off-campus training institutions continue to influence the policy implementation significantly.Aiming to investigate the correlation between private tutoring and academic performance,as well as identify key moderating variables,this study conducted a meta-analysis on 21 primary studies,encompassing 54 independent samples,79 effect sizes,and 242,601 participants.The findings revealed a low correlation between private tutoring and the academic performance of students.The impact of private tutoring on academic performance was insignificant after the application of the trim-and-fill method.Among the nine moderating variables analyzed,student gender,educational stage,family socioeconomic status(SES),region,tutoring subject,tutoring duration,and type of tutoring class did not significantly influence the effectiveness of private tutoring.The conclusions clarify the common one-sided perceptions people have about the role of private tutoring,offering new insights for education policymakers,researchers,teachers,parents,and students.

How to Promote the Online Flow of High-Quality Teacher Resources under the"Double Reduction"Policy:An Analysis of Factors Influencing Teachers'Continuance Intention to Participate in Online After-School Teaching Services

Promoting the online flow of high-quality teacher resources has emerged as an important way to pursue coordinated progress in burden reduction and quality improvement under the"double reduction"policy.Based on the Open Online Tutoring Program of Secondary School Teachers(hereinafter referred to as"the open tutoring program")in City A,China,this study examined the factors influencing teachers'continuance intention to participate in the open tutoring program and their structural relationships,using a structural equation modeling analysis based on 1,159 sample data.The results show that:Firstly,teachers'reputation enhancement,perceived playfulness,perceived usefulness,and perceived ease of use have a positive effect on teachers'continuance intention to participate in online after-school teaching services.Secondly,online teaching efficacy has no direct effect on teachers'continuance intention,but rather impacts their reputation enhancement and beliefs about the value of the open tutoring program.Thirdly,social influence has a positive effect on teachers'reputation.Fourthly,perceived ease of use has a positive effect on teachers'perception of the value of the open tutoring program.In light of the above,relevant suggestions are proposed to encourage teachers to continue participating in online after-school teaching services.

Does Primary and Secondary School Students'On-Campus Out-of-School-Hours Tutoring Reduce Private Tutoring Participation?—Based on China Family Panel Studies

This study analyzed the effect of primary and secondary school students'on-campus out-of-school-hours(OSH)tutoring participation on private tutoring participation using the two-level Bernoulli model based on the China Family Panel Studies(CFPS)data in 2018.The results revealed that students'on-campus OSH tutoring participation did not decrease the likelihood of their private tutoring participation,while low-achieving students or students from disadvantaged family socioeconomic status(SES)were more likely to continue to participate in private tutoring after receiving OSH tutoring.This may be due to the following:Firstly,on-campus OSH tutoring was less targeted and personalized before the implementation of the"double reduction"policy;secondly,private tutoring institutions conducted misleading marketing and offered private tutoring in the time for on-campus OSH tutoring;and thirdly,students with disadvantaged family SES had fewer opportunities to receive high-quality OSH tutoring.Therefore,it is suggested that concerted efforts be made to provide more targeted and personalized on-campus OSH tutoring and prohibit academic private tutoring institutions from entering campuses.Additionally,it is necessary to enrich the supply of OsH service resources for interest and quality development,optimize the allocation of on-campus OsH tutoring resources,and facilitate the balanced,quality-oriented development of OSH tutoring among different schoolsandregions.