A Qualitative Study on Teacher-student Collaborative Assessment in College Students’ Oral English

This article examines the application of Teacher-student Collaborative Assessment in college students’oral English.Qualitative Study data were collected during 16 weeks teaching practice and included the students’and the examiner’s interviews.The result indicates that most students’oral English has been improved.They prefer this assessment model,and their English learning interest and proficiency has been enhanced as well.

Effect on Collaborative Assessment on Language Development and Learning

This paper reports on a study investigating the impact of collaborative assessment on language development and learning. It involves two groups of sophomore students at Dalian Finance University. Two questions were explored: 1) what benefits and difficulties exist in collaborative assessment? 2) what effects does collaborative assessment have on learning?The paper begins with an account of the procedures adopted for the study, followed by its finding and discussion of the findings which is a evidence which points to a shift of participants' role from passive learner to active participant as well as change in the use of learning strategies.

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.

Research on the Application of Intelligent Evaluation and Teacher-student Cooperation Assessment System in Teaching English Writing

Low efficiency in teaching and time-consuming in writing evaluation are two big problems for college English teachers.Therefore,it is necessary to create a new teaching model to solve these problems existing in traditional classroom-based teaching.This research adopts the research methods of test comparison before and after the students’composition experiment,questionnaire and semi-open interviews.Empirical research on a new teaching model that integrates the intelligent composition review and reform system represented by Piangai.com and the collaborative evaluation of teachers and students is conducted.The research results show that the new writing teaching model improves the quality of students’writing,promotes students’learning initiative,and enhances students’writing self-efficacy.This writing teaching model provides ideas for solving the problem of time-consuming and inefficient English writing teaching in large classes.

Blockchain Security Threats and Collaborative Defense:A Literature Review

As a distributed database,the system security of the blockchain is of great significance to prevent tampering,protect privacy,prevent double spending,and improve credibility.Due to the decentralized and trustless nature of blockchain,the security defense of the blockchain system has become one of the most important measures.This paper comprehensively reviews the research progress of blockchain security threats and collaborative defense,and we first introduce the overview,classification,and threat assessment process of blockchain security threats.Then,we investigate the research status of single-node defense technology and multi-node collaborative defense technology and summarize the blockchain security evaluation indicators and evaluation methods.Finally,we discuss the challenges of blockchain security and future research directions,such as parallel detection and federated learning.This paper aims to stimulate further research and discussion on blockchain security,providing more reliable security guarantees for the use and development of blockchain technology to face changing threats and challenges through continuous updating and improvement of defense technologies.

Is big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021

Collaborative research causes problems for research assessments because of the difficulty in fairly crediting its authors.Whilst splitting the rewards for an article amongst its authors has the greatest surface-level fairness,many important evaluations assign full credit to each author,irrespective of team size.The underlying rationales for this are labour reduction and the need to incentivise collaborative work because it is necessary to solve many important societal problems.This article assesses whether full counting changes results compared to fractional counting in the case of the UK’s Research Excellence Framework(REF)2021.For this assessment,fractional counting reduces the number of journal articles to as little as 10%of the full counting value,depending on the Unit of Assessment(UoA).Despite this large difference,allocating an overall grade point average(GPA)based on full counting or fractional counting gives results with a median Pearson correlation within UoAs of 0.98.The largest changes are for Archaeology(r=0.84)and Physics(r=0.88).There is a weak tendency for higher scoring institutions to lose from fractional counting,with the loss being statistically significant in 5 of the 34 UoAs.Thus,whilst the apparent over-weighting of contributions to collaboratively authored outputs does not seem too problematic from a fairness perspective overall,it may be worth examining in the few UoAs in which it makes the most difference.

QoE Assessment of Group Synchronization Control Scheme with Prediction in Work Using Haptic Media

This paper proposes a group synchronization control scheme with prediction in work using haptic media. The scheme adjusts the output timing among multiple terminals and keeps the interactivity high. It outputs position information by predicting the future position later than the position included in the last-received information by a fixed amount of time. It also advances the output time of position information at each local terminal by the same amount of time. We deal with two different types of work using haptic media so as to demonstrate the effectiveness of the scheme. We assess the output quality of haptic media for the two types of work subjectively and objectively by Quality of Experience (QoE) assessment. We further clarify the relationship between subjective and objective assessment results.

Analyzing Collaborative Development of E-Commerce and Logistics Based on DEA

In order to know the current collaborative development situation and relationship of E-commerce and logistics, the paper evaluates the whole collaborative development level of Chinese E-commerce and logistics from 2008 to 2014 using the DEA model. Fund, infrastructure, labor and collaborative development are evaluated and analyzed in this model. The research indicates that E-commerce facilitates the logistics development but logistics can’t support E-commerce development well due to the lag effect which leads to lower collaborative development level. So optimizing the ratio of logistics investment and output, promoting logistics service quality and accelerating logistics development have been the key factors for promoting the collaborative development of E-commerce and logistics.

四川省区域协同创新网络体系研究——基于“一干多支,五区共兴”发展战略的思考

在创新驱动经济高质量发展的战略背景下,结合四川“一干多支,五区共兴”的区域协调发展布局,利用熵权法评估四川省各市(州)的创新能力,通过社会网络分析法对四川省创新协同网络进行分析,探究了区域协同创新体系建设的可行路径。研究结果表明:成都市是四川省的创新高地,成都平原整体的创新能力显著强于其他四区,存在明显的断层现象;四川省的创新能力呈现出“中心—边缘”的空间格局,成都市的极点效应辐射范围仅在成都平原内,未能同整个四川的创新系统融合;遂宁、南充、自贡等地的中介作用效果不佳,创新辐射的承接效果较差,未能有效带动四川地区创新能力的发展。基于此,提出要建立成都平原与各区间完备的创新互动机制;强化成都辐射,重视中心节点的承接作用;立足区域特点,促进特色发展;促进创新资源有效配置,实现区域创新一体化发展等政策建议。

基于BIM技术的装配式建筑建设项目安全风险管理及优化

针对传统的装配式建筑管理中存在管理水平粗糙、精细化程度低等问题,研究运用BIM及相关信息技术建立基于BIM相关信息技术的建设项目安全风险管理平台,并设计建筑项目对比实验。研究结果显示未使用BIM技术进行安全管理的3#装配式建筑安全等级为三级,综合确定度为0.65325,而使用BIM技术进行安全管理的5#装配式建筑安全等级为四级,综合确定度为0.7190。综上所述BIM技术能实现装配式建筑建设项目的安全管理的优化,减少施工工程中的事故风险,保障人员的生命安全和财产安全。

智能煤矿综采控制系统双人协同作业情境意识研究

目的探究智能煤矿综采控制系统双人协同作业中个体在不同协同条件下的情境意识(SA)的构建情况,为智能煤矿中人员协同操作模式提供管理的相关依据。方法利用E-prime软件模拟智能煤矿综采控制系统中的采煤机运行状态监控任务,实验模拟四种不同协同场景(单独作业、操作协同、工作交流协同、非工作内容交流协同),利用全局情境意识技术测度被试总体情境意识以及感知、理解、预测三阶段情境意识得分,并验证不同协同条件下双人协同作业模式中个体的情境意识影响差异。结果双人操作协同与工作内容交流协同显著提升个体情境意识水平,并取得较高的工作绩效;在情境意识感知阶段,非工作内容交流协同与其他三组对比情境意识得分显著下降;在理解阶段,工作内容交流组与其他三组均呈现情境意识得分上的显著性差异,且工作内容交流组得分最高;在预测阶段单独作业组与操作协同组和工作内容交流协同组在SA得分上存在显著性差异,单独作业在预测阶段的得分显著低于有协同组。结论相较于单独作业,操作协同、有关工作内容的交流协同能够有效维持个体情境意识和提高绩效水平,但非工作内容的交流协同反而会降低个体情境意识。

文化遗产影响评估(CHIAs)保护利用协同目标及其嵌入机制

从保护利用协同目标入手,对国外的文化遗产影响评估实践进行剖析,总结了广州市文评实践的主要特点,针对文化遗产影响评估工作面临的3大难点——与保护管理系统结合方式复杂、自我完善程度不足、其他力量支撑与保障不足,提出由文化遗产影响评估先予机制、触发机制与保障机制共同构成的本土化文化遗产影响评估嵌入机制。

英语专业学生师生合作评价情绪体验质性个案研究

本研究采用质性研究方法,探讨3名英语专业学生在师生合作评价中的情绪体验。研究显示,研究对象在这一过程中主要体验了9种学业情绪,其中,焦虑、认同和愉悦情绪体验频次较高,且积极情绪明显多于消极情绪。个案间存在情绪体验差异,集中表现在厌烦、自豪、好奇与满足的情绪体验上。本研究的学生情绪体验视角丰富了师生合作评价相关研究,为一线教师对学生学业情绪的把控提供实证案例。

师生合作评价方法在八年制临床医学专业学生骨科学技能教学中的应用

目的 初步探讨师生合作评价(teacher-student collaborative assessment, TSCA)方法在八年制临床医学专业学生骨科学技能教学中的应用效果。方法 采取整群抽样方法,选取2021年1月1日至2022年5月31日在中南大学湘雅三医院进行骨科学技能见习的2016级和2017级八年制临床医学专业五年级56名学生为研究对象。采用随机数字表法,将56名学生设为试验组和对照组,每组均为28名学生。试验组学生采用TSCA方法,对照组学生采用传统评价方法。教学结束后,通过骨科学理论考核、技能考核和骨科学技能教学满意度问卷调查,比较2种评价方法的应用效果。结果 试验组学生的随堂骨科学理论考核成绩[(34.11±2.01)分]与对照组学生[(34.25±1.86)分]相比,其差异无统计学意义(P>0.05);试验组学生随堂骨科学技能考核成绩[(54.00±2.19)分]和期末骨科学技能考核成绩[(92.35±2.34)分]均高于对照组学生[(48.32±4.34)分和(88.32±3.04)分],其差异均具有统计学意义(均P<0.001)。骨科学技能教学满意度问卷调查结果显示,试验组学生在学习兴趣、学习效率、自学能力、临床思维能力、理论联系实际能力、团队合作能力、语言沟通能力、综合满意度和教学设计合理性等9个方面的评分均高于对照组学生,其差异均具有统计学意义(均P<0.001);两组学生思政教育评分比较,其差异无统计学意义(P>0.05)。结论 TSCA方法有助于提高八年制临床医学专业学生骨科学技能教学效果和教学满意度,提高了骨科学技能教学质量,值得进一步推广应用。

A Study on the Educational Significance Guidance Plan Value of the Jumong Myth Using STEAM

Jumong is a legendary figure in Korean mythology.He is depicted as a genius archer,a brilliant mind with horses,a god who rules the rivers and the sky.Jumong is a mythical character who is believed to be of divine descent and to possess superhuman abilities that humans cannot match.The myth of Jumong is a very competitive content that can compete on a global scale.However,in order for it to be successful,it is necessary to be able to reinterpret our mythology to suit the times and reproduce it culturally.To this end,the realistic globalization of Korean classical literature should commence with the genre of Korean mythology.This paper presents the educational significance of the Jumong myth as a teaching-learning model,via STEAM(science,technology,engineering,arts,and mathematics),on the theme of Korean mythology.As we enter the era of artificial intelligence(AI)through the 4th Industrial Revolution,the most appropriate teaching and learning method,the convergence class,will provide an opportunity for students living in modern times to discover the cultural archetypes that allow them to recognise themselves as individuals and us as a collective,and to find the roots of the myth to positively renew their identity.Furthermore,it is my hope that they will rediscover and appreciate the representative work of Korean mythology,Gojomong,the eponymous story of Goguryeo.

一种交互式威胁研判系统的设计

针对黑客攻击技术的升级、攻击手段的多样化和智能化,仅仅依靠固化模型以及规则已经不能满足对威胁对象精准研判的效果,所以设计一种交互式威胁研判系统,辅助安全运营人员进行威胁研判.该系统由数据采集、数据建模、模型分析、威胁研判、研判报告、检索分析、态势监测等模块组成.交互式威胁研判过程首先获取至少一个告警事件以及初始威胁度,通过交互式研判工具箱中的多种能力对告警事件进行线索收集,包括PCAP包分析、可疑文件沙箱检测、流量分析等,在使用过程中基于历史知识学习进行智能推荐具体的工具.根据交互式研判工具箱挖掘线索生成不同级别证据,系统根据威胁度分数算法自动进行威胁度更新计算,最终得出告警事件的威胁分值.通过实践,证明本系统可以实现对告警事件的威胁度高精准、综合性判定.

基于深度强化学习的多无人机空战机动策略研究

面对敌方空中力量的来袭,具有自主协同、灵活机动能力的无人机是参与空中作战的重要力量。面向多无人机协同高制胜率的对抗作战任务需求,并根据空战目标数量划分,重点对多无人机对单目标协同空战机动策略和多无人机对多目标协同空战机动策略展开研究。本文主要分析了空战过程中的关键战场要素,基于多机机动特性,建立无人机运动模型。根据无人机火控特点,分析无人机状态变化规律,建立无人机对敌攻击模型和动态对抗模型;针对多无人机对单目标自主协同空战问题,提出基于专家规则和强化学习相结合的多机自主机动策略。仿真结果表明,所提算法可以完成态势实时变化的多机对单目标空战任务。在作战双方数量相同的前提下,若敌方不具备智能机动行为,我方制胜率为100%;即使双方采用相同的策略,如果我方数量多于敌方数量,我方仍有大的胜率,体现了协同策略的有效性。

元宇宙加持下学评协同评价模式探索

学评协同是新兴的教育评价模式,元宇宙为此评价模式的应用和发展提供强有力的技术支持。该文首先总结元宇宙在学评协同评价模式的技术优势。其次,提出元宇宙支持的学评协同应用架构,包括学评协同场景构建、自适应的学评协同评价模型建立和过程驱动的学评协同评价数据展示。最后分析应用架构尚待解决的关键问题,包括多模态学习过程数据的解析与利用、定性和定量评价的综合分析及学习过程数据和评价数据的融合展示。该文的研究成果可为探索新时代教育评价改革,实现未来教育评价高质量发展,提供有益的参考与启示。

基于序参量的云边端分布式体系协同安全评估

基于云边端的分布式计算体系成功服务于众多应用,已经成为一种主流,具有受众广、用户体验好、安全期望高等特点。然而,近年来针对云、边、端的攻击事件频发,给用户造成严重的安全隐患与巨大经济损失。当前云、边、端的防御机制各自为战,抵御风险的能力差异大,全域安全风险消除难。事前配置和事后“亡羊补牢”式的安全手段难以满足高负载、高实时的云边端协同网络的安全需求。其根源在于云、边、端分层架构各自为营,未形成有效的协同防御体系,导致产生跨域安全治理难度大、实时性差、协同一致性评估难等问题。提出了实时感知、动态决策、积极防御三位一体的云边端协同安全架构,深度融合云、边、端,形成安全协同能力,并进行严格理论一致性证明;提出了基于序参量的协同安全评估模型,实现云、边、端风险感知一致,策略决策一致,攻击防御一致,实行高效率、低成本的安全风险协同防护,最大化系统性安全收益;对一致性理论与评估模型进行仿真验证,结果证明了提出的协同安全体系以及一致性评价模型的正确性与有效性。

河长制助推流域治理的困境及出路

河长制是生态文明背景下为加强河流治理而探索出来的创新机制,党政领导担任河长统筹负责、跨区域跨部门协同合作的治水模式与流域治理现代化的理念相契合。随着河长制的全面覆盖,流域治理正从“九龙治水”的分立式格局向高度统一的整体性格局转变。但立足于现阶段的国情水情,河长制的推行仍面临着法律缺位、组织架构不合理、运行条件滞后及考评标准不明确等难点堵点。为了肩负起新发展阶段推动流域生态环境高质量发展的历史使命,必须运用法治思维,从立法健全、组织协同、运行保障和考核评价四个方面对河长制进行制度变革,激发河长制在流域治理领域的效能,加快构建现代化治水格局,描绘“河畅、水清、岸绿、景美”的生态画卷。