The Impact of Classroom Evaluation on Chinese Learning Motivation:A Comparative Study of Oral Feedback and Written Comments

Classroom evaluation plays a critical role in shaping students’learning experiences,influencing not only their academic performance but also their motivation and engagement.In the context of primary Chinese language learning,oral feedback and written comments are two prevalent evaluation methods.This paper explores how these different types of feedback impact students’motivation,learning outcomes,and participation.By comparing the immediacy of oral feedback with the systematic nature of written comments,this study seeks to provide insights into how educators can utilize classroom evaluations more effectively to foster motivation in Chinese language learners.The findings indicate that both feedback methods have unique strengths,and a balanced approach may optimize learning outcomes.

Research and Practice on the Multi-dimensional Course Goal Achievement Evaluation of Software Engineering

According to the standards of engineering education accreditation,the achievement paths and evaluation criteria of course goals are presented,aimed at the objectives of software engineering courses and the characteristics of hybrid teaching in Kunming University of Science and Technology.Then a multi-dimensional evaluation system for course goal achievement of software engineering is proposed.The practice’s results show that the multi-dimensional course goal achievement evaluation is helpful to the continuous improvement of course teaching,which can effectively support the evaluation of graduation outcomes.

Multi-dimensional evaluation method in music creation and performance of comedy

Multidimensional Scale Evaluation Rules as a performer in the field of learning assessment is feasible, but for each dimension settings, level settings and value setting need to be developed according to the actual raters, object evaluation, the focus of the evaluation. Scores of overall dimensions use variance analysis, and the results show a significant difference. In sub-dimension score comparison, the high group and low group both got higher scores in the degree of difficulty performing works and read music accuracy. The high group and low group are different on dimensions of the lowest score. Total scores in the scale of multi-dimensional evaluation of rules are positively correlated on the scores on the improvising horizontal dimension, but the correlation is not very high level, that is not all students who is better in playing levels, and they can get higher scores on the improvising horizontal dimension. Using multi-dimensional scale scores and teacher direct evaluation rules score are significantly different for student achievement.

On Evaluation of the New Edition College English Textbooks Based on Multi-dimensional Perspectives

Relative fi ndings about the evaluation of English textbooks in China are really rare. In this paper, the new edition college Englishtextbooks are analyzed and evaluated through drawing on the evaluation experience of English textbooks of other countries. The conclusion wasdrawn through questionnaires that the multi-dimensional mode, as a mode of learning based on the multi-sensory experience of students, couldprovide students with broader space for free development and exploration. It could guide the compilation and improvement of textbooks.

Research on the Teaching Evaluation System based on Feedback Tracking Technology under Cloud Computing Environment

In this paper, we conduct research on the teaching evaluation system based on the feedback tracking technology under the cloud computing environment. Teaching evaluation is an important work of teaching management department. According to the traditional mode of work, must first into classroom, through questionnaire survey, fill out a form scale, obtain first-hand teaching evaluation data, and then input the data into the computer, after check again the data statistics and analysis which is not efficient. To optimize the procedure, we use the cloud computing to assist finalizing the general evaluation steps which is innovative and meaningful.

A Critical Analysis on Evaluating the Students'Feedback of Learning

Teaching involves finding out about students'misunderstandings,intervening to change them and creating a context of learning that encourages students to engage with the subject matter.This theory of making student learning possible is very much concerned with the content of what students have to learn in relation to how it should be taught.Evaluation implies collecting information about our work,interpreting the information and making judgments about which actions we should take to improve practice.Evaluation is an analytical process that is intrinsic to good teaching.

The Study on College English Writing Based on Multi-dimensional Feed-back Mode

The study constructed a multi-dimensional feedback mode integrating teacher feedback, peer feedback and network feedback, and applied it in the teaching of College English Writing. After 16 weeks of teaching, the students in the multi-dimen-sional feedback class had significantly better overall writing scores than those in the teacher-feedback class. In terms of individual scores, multi-dimensional feedback played a better role in improving vocabulary and grammar than the class using teacher feed-back. However, there were no significant differences in the responses of writing tasks, coherence and cohesion. The study showed that most students were satisfied with the mode, believing that it was helpful to relieve writing anxiety, stimulate writing interest and improve their writing level.

Blockchain-Empowered Token-Based Access Control System with User Reputation Evaluation

Currently,data security and privacy protection are becoming more and more important.Access control is a method of authorization for users through predefined policies.Token-based access control(TBAC)enhances the manageability of authorization through the token.However,traditional access control policies lack the ability to dynamically adjust based on user access behavior.Incorporating user reputation evaluation into access control can provide valuable feedback to enhance system security and flexibility.As a result,this paper proposes a blockchain-empowered TBAC system and introduces a user reputation evaluation module to provide feedback on access control.The TBAC system divides the access control process into three stages:policy upload,token request,and resource request.The user reputation evaluation module evaluates the user’s token reputation and resource reputation for the token request and resource request stages of the TBAC system.The proposed system is implemented using the Hyperledger Fabric blockchain.The TBAC system is evaluated to prove that it has high processing performance.The user reputation evaluation model is proved to be more conservative and sensitive by comparative study with other methods.In addition,the security analysis shows that the TBAC system has a certain anti-attack ability and can maintain stable operation under the Distributed Denial of Service(DDoS)attack environment.

Course Evaluation Based on Deep Learning and SSA Hyperparameters Optimization

Sentiment analysis attracts the attention of Egyptian Decisionmakers in the education sector.It offers a viable method to assess education quality services based on the students’feedback as well as that provides an understanding of their needs.As machine learning techniques offer automated strategies to process big data derived from social media and other digital channels,this research uses a dataset for tweets’sentiments to assess a few machine learning techniques.After dataset preprocessing to remove symbols,necessary stemming and lemmatization is performed for features extraction.This is followed by several machine learning techniques and a proposed Long Short-Term Memory(LSTM)classifier optimized by the Salp Swarm Algorithm(SSA)and measured the corresponding performance.Then,the validity and accuracy of commonly used classifiers,such as Support Vector Machine,Logistic Regression Classifier,and Naive Bayes classifier,were reviewed.Moreover,LSTM based on the SSA classification model was compared with Support Vector Machine(SVM),Logistic Regression(LR),and Naive Bayes(NB).Finally,as LSTM based SSA achieved the highest accuracy,it was applied to predict the sentiments of students’feedback and evaluate their association with the course outcome evaluations for education quality purposes.

The effect of grade entitlement attitudes on English programs in Japanese universities language testing and evaluation： Foreign language skill development

This paper deals with the effect of grade entitlement on English programs in Japanese universities. For years, teachers and administrators have noted that even though Japan is one of the highest spending countries on English education, there has not been a commensurate increase in English ability. Most research to explain this disparity has thus far focused on methodology, class size and teacher qualifications. Recent research dealing with academic entitlement at US universities may offer an alternative explanation for some of the lack of success that Japanese universities have experienced. Ellen Greenberger, one of the author＇s of Self-entitled college students： Contributions of personality, parenting and motivational factors, which appeared in 2008 in The Journal of Youth and Adolescence claims that in recent years, the number of students appealing their grades and expecting to be rewarded for effort rather than results has increased. Greenberger＇s paper motivated this study. 200 Japanese students completed a survey that presented a number of grade scenarios. The students were asked, based on test grades and completed assignments, what grade a student should receive in each hypothetical situation. Similarly, full-time and part-time teachers were asked what grade they would give in each situation. This paper explains the different situations, students＇ and teachers＇ responses to the scenarios, and then discusses the implications for English education in Japan.

The Representation of Soil Moisture−Atmosphere Feedbacks across the Tibetan Plateau in CMIP6

Thermal processes on the Tibetan Plateau(TP)influence atmospheric conditions on regional and global scales.Given this,previous work has shown that soil moisture−driven surface flux variations feed back onto the atmosphere.Whilst soil moisture is a source of atmospheric predictability,no study has evaluated soil moisture−atmosphere coupling on the TP in general circulation models(GCMs).In this study,we use several analysis techniques to assess soil moisture−atmosphere coupling in CMIP6 simulations including:instantaneous coupling indices;analysis of flux and atmospheric behaviour during dry spells;and a quantification of the preference for convection over drier soils.Through these metrics we partition feedbacks into their atmospheric and terrestrial components.Consistent with previous global studies,we conclude substantial inter-model differences in the representation of soil moisture−atmosphere coupling,and that most models underestimate such feedbacks.Focusing on dry spell analysis,most models underestimate increased sensible heat during periods of rainfall deficiency.For example,the model-mean bias in anomalous sensible heat flux is 10 W m−2(≈25%)smaller compared to observations.Deficient dry-spell sensible heat fluxes lead to a weaker atmospheric response.We also find that most GCMs fail to capture the negative feedback between soil moisture and deep convection.The poor simulation of feedbacks in CMIP6 experiments suggests that forecast models also struggle to exploit soil moisture−driven predictability.To improve the representation of land−atmosphere feedbacks requires developments in not only atmospheric modelling,but also surface processes,as we find weak relationships between rainfall biases and coupling indexes.

The Impact of Teacher Involved Peer Feedback in the ESL Writing Class

Among the many possible ways to assessing writing by giving feedbacks, the peer evaluation method is viewed as a relatively effective one for students. Traditional one-way teacher feedback with which the teachers usually make great efforts to mark out all errors had been proved to be unscientific. In this article, based on the specific situation in two English major classes in Wenhua Institute attached to HUST, a series of training and experiments were designed with the aim of proving the effect of peer evaluation in writing class. It is emphasized that language teachers should recognize the practical value of peer evaluation, and try to help students be involved in making peer responses in the writing process actively, so that students can get meaningful experience from evaluating their peers＇ writing, which, in turn, will enhance their own ability to produce more satisfactory essays.

Dynamical Feedback between Synoptic Eddy and Low-Frequency Flow as Simulated by BCC_CSM1.1(m)

Since the interaction between atmospheric synoptic eddy （SE） （2-8 days） activity and low-frequency （LF） （monthly） flow （referred to as SELF） plays an essential role in generating and maintaining dominant climate modes, an evaluation of the performance of BCC_CSMI.I（m） in simulating the SE feedback onto the LF flow is given in this paper. The model captures well the major spatial features of climatological eddy vorticity forcing, eddy-induced growth rate, and patterns of SELF feedback for the climate modes with large magnitudes in cold seasons and small magnitudes in warm seasons for both the Northern and Southern Hemisphere. As in observations, the eddy-induced growth rate and SELF feedback patterns in the model also show positive SE feedback. Overall, the relationships between SE and LF flow show that BCC_CSM1. l（m） satisfactorily captures the basic features of positive SE feedback, which demonstrates the simulation skill of the model for LF variability. Specifically, such an evaluation can help to find model biases of BCC_CSM1.1 （m） in simulating SE feedback, which will provide a reference for the model＇s application.

Feedback in the IRF Discourse Model in Foreign Language Classroom

Feedback, as one of the pedagogic principles, plays a crucial part in helping develop students＇ foreign language proficiency. And it has proved to be an absolutely necessary link among the pedagogic procedures. In that case, great attention will be concentrated on the current situation about its application in the language classroom, its theoretical foundation, its weaknesses and some corresponding suggestions.

地学类课程的贯穿式学习与评价——形成性评价在“古生物学”课程中的探索与应用

形成性评价是为正在进行的教学活动提供反馈信息,即贯穿全学习过程的师生互助式双向反馈,相对于总结性评价而言,其目的在于促进学习和指导教学,而非仅获得评价结果。本文以吉林大学本科创新示范课—“古生物学”课程为例,分析形成性评价体系的优势,明确该体系的设计理念及目标,详细介绍以评价内容、评价时机、评价方式和教学反馈为内容的评价体系建设及实施过程,提出了具有地学类课程特色的普适性形成性评价体系模型。

Investigating the Effectiveness of Peer Feedback on Writing from Stu⁃dents’Perspective:A Case Study in Scientia Secondary School,Hong Kong

This paper demonstrates students’perspective of peer feedback on writing.The researcher based on the relevant litera⁃ture to find that peer feedback has a great effect on learning engagement,evaluation skill,and peer interaction.However,there are still some doubts from teacher and student.Therefore,the researcher further reexamines this issue by conducting a pre-test,posttest with 36 students in Hong Kong,supplemented by interview data.The research findings suggest that numerous students notice the effectiveness of peer feedback whereas they are not familiar with the assessment process and technique.In this paper,the re⁃searcher will explore secondary students’perspective of peer feedback,and evaluate to what extent peer feedback can enhance their writing.Besides,there are some strategies for how to carry out peer feedback in writing class.

面向多目标优化主动运维的电能表远程在线评价系统设计

针对传统电能表远程在线评价系统中存在的系统建造成本耗费较大、评价结构过于繁琐等问题,从评价系统的构建和评价算法两方面开展研究。在评价系统的设计方面,加入反馈,使得该评价系统不仅可以整合各项评价指标进行规律化的采集,还可以对评价指标进行实时反馈,提高了评价的效率和评价信息传输的效率。在评价算法方面,基于解耦评价算法对电能表的运行状态和采集数据进行评价,对数据信息进行归纳处理,并根据大量的数据样本进行条理化分析评价。通过仿真实验可知,硬件反馈线路的数据传输效率高达98.6%,具有很好的传输能力。

基于OBE的课程目标达成度评价方法及实践

课程目标达成评价是专业人才培养目标与毕业要求达成的基础。以“工程经济学”课程为例,构建了基于OBE理念的课程目标达成度评价框架。首先,分解毕业要求指标点,确定教学目标、教学内容、考核标准和毕业要求指标点的对应支撑关系。其次,分别采用直接定量评价、间接定量评价和定性评价三种方法对课程目标达成情况进行评价。最后,将评价结果反馈给授课教师,为教学持续改进提供借鉴。结果表明,该评价体系科学合理,可以为课程教学质量的提高和促进毕业要求及培养目标的达成提供理论依据和实践参考。

可视化反馈促进自我调节学习的实验研究

建设终身学习型社会要求学习者具备更高的自我调节学习能力。这就要求教育不仅要教会学生知识,更要教会学生学习。然而,当前关于促进基础教育中学习者自我调节学习的研究较少,并且缺乏可以应用于线下课堂的实用工具,导致测评数据无法被深入解读。立足于基础教育课堂教学,设计开发促进学习者自我调节学习的可视化反馈工具,深入分析测评数据,挖掘其中蕴藏的有效信息。该工具提供包括自我认识、学习动机、学习策略三个维度的可视化反馈报告,将知识掌握情况、错题归因、试题定位等信息呈现给学习者,助力其自我调节学习的发生。为检验该工具的效果,在两个班级开展对比实验,对两组学生的自我调节学习能力和学习成绩进行差异性检验。独立样本T检验结果显示,实验班和对照班在自我调节学习能力和学习成绩之间均存在显著性差异,并且均呈现出0.4左右的效应量。证明该工具提供的可视化反馈报告能够有效促进学习者的自我调节学习,同时能够促进学业表现。

边际效用理论视域下高职院校教师评价策略研究

随着跨学科研究的发展,作为经济学中的边际效用理论正逐渐被应用于教育领域当中,用来解释相关的教育现象。试从边际效用理论视域出发,分析当前我国高职院校教师评价在价值理念上人文关怀不够、评价标准上个性化特征不明显、评价主体上评价能力差异性较大、评价方法上单一化现象严重、评价结果上教师职业发展的服务作用缺乏等诸多问题,并针对问题提出应“树立先进评价理念,注重以人为本;坚持优化评价标准,提高指标契合度;构建专业评价主体,增强评价信度;积极改革评价方法,加强综合评价;构建合理反馈机制,善用评价结果”等优化策略。