The Influence of Combining Computer-Assisted Language Learning With Instruction on Chinese College Students’L2 Pragmatic Ability

In the area of computer-assisted language learning(CALL),although a number of studies have adopted various CALL-based devices(e.g.,blogs,gaming,and synthetic environments)to foster second language(L2)acquisition,the vital component of instruction has received little attention.The present study explored the usefulness of CALL-based communication in conjunction with instruction on EFL learners’L2 pragmatic development.Sixty-two EFL students from a university in China were recruited for the current research.The experimental group communicated with a native English speaker through synchronous messaging via Skype and had two instructional sessions pertinent to compliment responses,while the control group interacted with a native English speaker via Skype without having the teaching intervention.Findings from an independent samples t-test demonstrated that the experimental group produced significantly more proper compliment responses in the immediate posttest than the control group(p<.001).Moreover,a significant difference(p<.001)was found for the experimental group between the preintervention and delayed post-intervention mean scores,suggesting that CALL coupled with teaching intervention had a long-term impact on learners’L2 pragmatic development.These findings enrich our understanding of the beneficial and lasting influence of combining CALL with instruction on EFL students’pragmatic development.In addition,pedagogical implications for deploying CALL paired with L2 pragmatics instruction are provided.

Models for Teaching Culture in Computer-Assisted Language Learning

CALL （computer-assisted language learning） has tremendously transformed the teaching of language, with its wide application in many aspects of language teaching. However, how to integrate CALL into the teaching of culture is still rarely discussed. The purpose of the paper is to explore feasible models for teaching culture in CALL and their effects on students＇ acquisition process. Based on two fundamental pedagogical approaches （participatory pedagogy and multiliteracies pedagogy） for teaching culture, this paper proposes three pedagogical models （problem-posing model, web-quest model, and computer-supported collaborative learning model） for teaching culture in CALL. In the end, this paper illustrates a combination of the three models in real CALL setting by a cultural teaching case. A questionnaire survey and interviews are conducted to reflect on students＇ feedback, which gives an insight into possible adjustments in teaching models and the paper also proposes future possibilities in applying these models into teaching culture

EFL Teaching from the Perspective of Computer Assisted Language learning

Authors of papers to proceedings have to type these in a form suitable for direct photographic reproduction by the publisher. In order to ensure uniform style throughout the volume, all the papers have to be prepared strictly according to the instructions set below. A laser printer should be used to print the text. The publisher will reduce the camera-ready copy to 75% and print it in black only. For the convenience of the authors template files for MS Word 6.0 （and higher） are provided. In recent years, computer-assisted language learning （CALL） is widely used in College English teaching, it has played a positive role in improving the promotion of the quality of teaching. In this paper, itdiscussed CALL in terms of the specific application of curricular and extra-curricular.

Strengths and Drawbacks of Blended Learning for Second Language Learning

This paper discusses the strengths and drawbacks of blended language learning.There exists a great debate about what constitutes blended learning.By considering its advantages and disadvantages,we contend that there is a need for higher education to embrace blended learning in order to increase educational opportunities and improve learning outcomes.In order to support this argument,this paper addresses the transformative potential of blended learning based on recommendations for class redesign from previous studies.This paper then concludes by providing an agenda for further research.

Aspect Level Songs Rating Based Upon Reviews in English

With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.

山西省旅游资源外语语言景观优化研究

该研究通过对山西省10处5A级旅游景区的外语语言景观进行调查,共收集1528份有效语料。调查结果显示,超过70%的景区标牌至少使用了英语一种外语语言,英语在外语语言景观中占主导地位。同时,还发现韩语、日语、俄语、法语等其他外语语言在景区景观中也有使用,这反映了打造国际化景区和提升外语服务质量的成效。然而,在外语语言景观建设方面仍存在一些问题,如外文译写质量不高,出现了误译、漏译、机器翻译和一词多译等错误。此外,景区还存在标牌制作排版有误、景区名称翻译不统一、缺乏整体规划等问题。为了优化景区语言景观,建议参考《公共服务领域外文译写规范》,并与当地高校外语、旅游等方面专家进行合作,定期展开调研和整改,增加外文旅游宣传手册、外语导游等服务形式,以整体提升外语服务质量和山西国际形象。

On advantages and limitations of computer-assisted language learning

Computer-assisted language learning (CALL) is used increasingly in foreign language teaching. Compared with the traditional teaching method, computer-assisted language learning has unparallel advantages, but in fact it does have some limitations in some aspects.

Developing Learner＇s Integrated Skills in College English Multimedia Classroom

Based on critical thinking of the relevant literature, the study has been carried out to investigate to what extent Whole Language Approach contributes to better results and motivates students to acquire the English language faster and more naturally in the multimedia language lab. A tentative model of whole language teaching comes into view, and an eighteen-month experimental project is designed and implemented in Hebei University, China. Research evaluation in both the qualitative and quantitative approaches is conducted and analyzed to ensure validity and reliability of the research.

外语损耗研究的动向及建议

最近20年,国内外学术界逐渐给予外语损耗研究较多关注。本文系统梳理了14项国际较有影响力的研究,结果发现,在词汇和形态层面,形态最先被损耗,词汇最易受损耗,而语音、句法、语义、语用方面的研究较少;损耗速度整体呈现“前快—中稳—后快”的趋势,但对是否存在起始平台还存在争议;就影响损耗的语外因素而言,语言停用并非导致外语损耗的唯一因素,起始水平对外语损耗具有重要预测作用,不过还需要对语外因素的交互关系进一步研究。本文就如何确定外语损耗研究的基准线、选择合适的研究方法、设计研究的整体框架等方面阐释了对国内研究的建议。

基于情感可控文本生成的可解释推荐系统

文本生成是实现可解释推荐系统的有效技术途径之一,有利于提升用户对平台的满意度和信任感.然而,现有方法忽略了用户历史评论与目标物品之间的情感一致性问题,使得所生成的解释文本差强人意.以电商推荐场景为例,提出一种基于情感可控文本生成的可解释推荐框架.该框架由评分回归模型与解释生成模型串联而成,前者输出的预估评分作为情感查询,用于辅助后者从历史评论中甄选出情感一致的评论语料,并产生情感可控的解释文本.通过建立多任务联合学习机制,实现了评分回归模型与解释生成模型之间的双向互通和协同优化.四个电商场景下的实验结果表明,所提出方法在评分预测精度和文本生成质量两类指标上均具有显著的性能优势.

论语言激励法对体育训练正向价值以及放大效应——以网球发球教学为例

以实验对比分析为主要研究方法,以网球教学中的发球教学为案例,运用语言激励手段对其进行科学的干预。研究表明,合理的语言激励有助于网球运动员发球成功率的提升,还可以巩固提高网球发球技术,练习效果较好,便于掌握正确的发球技术动作,语言激励和科学的训练相结合有助于提高网球教学质量。

基于多层面Rasch模型的英语口试信度分析

英语口语考试涉及面广,难以用单一指标衡量信度,而多层面Rasch模型可以从考生、评分员、评分标准和评分量表等角度探讨影响成绩的测量误差。可以某校中外合作专业大一新生分级考试中的英语口试成绩为研究对象,运用Facets软件进行分析。研究发现,虽然评分员的主观评分会产生一定的测量误差,使考生实际测量值和预测值存在出入,但这差异并不足以影响考生的最终报道成绩。此外,多层面Rasch模型证明:考生、评分员、评分标准和量表这四个层面具有良好的内部一致性,总体较为理想,因此,可认为该校组织的英语口语考试具有良好的信度。

父母依从度对语言发育迟缓儿童康复效果的影响

目目的的探讨父母对康复干预的重视和依从程度等因素对语言发育迟缓儿童康复效果的影响。方法 选取2019年6月∽2020年6月重庆佑佑宝贝妇儿医院诊断为语言发育迟缓并在早期发育康复中心进行语言康复训练的儿童67例,根据家庭的依从性分为高度依从组和低度依从组,对比两组儿童康复干预前后的语言发育水平和康复干预计划达标率。结果 两组儿童在普通话听力理解和表达能力标准化评估(diagnostic receptive and expressive assessment of mandarin,DREAM)中的整体语言(83.80±26.83 vs 58.06±42.28)、听力理解(102.14±18.56 vs 92.00±15.90)、语言表达得分(82.17±30.39 vs64.91±31.60),均呈显著差异(P<0.05);两组儿童的父母是否配合参与训练的实际达标情况:实际达标率100%(31.43%vs12.50%),实际达标率80%∽90%(45.71%vs25.00%)。康复训练前后,高度依从组患儿语言整体水平、语言理解、语言表达、句法得分增长和康复有效率显著高于低度依从组(P<0.05)。结论 父母对儿童语言发育迟缓的支持程度和执行康复计划的持续度与依从度,正面影响语言发育迟缓儿童语言康复干预效果。

基于《量表》的高中英语记叙文写作评分量表的构建及教学应用

聚焦《中国英语能力等级量表》中的书面叙述能力、书面表达策略等子量表,对量表中与记叙文写作相关的评价维度和具体描述语进行筛选和提炼,形成以内容、叙述、语言为主要评价维度,以文体特征、主题叙述、人物、事件、词汇、句式、语法、修辞、衔接为具体评价指标的记叙文写作评分量表。将量表应用于记叙文写作教学实践发现,基于量表的记叙文写作评价干预能显著提升学生在内容和叙述维度上的写作表现,增强学生在学习和评价中的主体意识,提升学生合作学习的能力。

针刺配合康复训练治疗儿童孤独症的疗效观察

目的观察针刺配合康复训练治疗儿童孤独症的临床疗效。方法将86例儿童孤独症患者随机分为治疗组和对照组,每组43例。对照组采用常规康复训练治疗,治疗组在对照组基础上采用针刺治疗。观察两组治疗前后各项量表[儿童孤独症评定量表(childhood autism rating scale,CARS)、孤独症行为量表(autism behavior checklist,ABC)和婴儿-初中学生社会生活能力量表(infant-junior high school student’s social living ability scale,S-M量表)]评分、语言能力各项评分(语言表达、语言理解和语言沟通)及各项生化指标[血清组织型纤溶酶原激活剂(tissue-type plasminogenactivator,t-PA)、谷胱甘肽(glutathione,GSH)水平和全血中5-羟色胺(5-hydroxytryptamine,5-HT)水平]的变化情况,并比较两组临床疗效。结果治疗组总有效率为90.7%,明显高于对照组的76.7%(P<0.05)。两组治疗后CARS评分、ABC评分、语言能力各项评分及血5-HT水平均较同组治疗前显著下降,S-M量表评分及血清t-PA、GSH水平均显著上升,差异均具有统计学意义(P<0.05)。治疗组治疗后各项量表评分、语言能力各项评分及各项生化指标与对照组比较,差异均具有统计学意义(P<0.05)。结论针刺配合康复训练治疗儿童孤独症疗效确切,能改善患者语言能力,降低CARS评分、ABC评分,调节t-PA、GSH和5-HT水平。

基于XML的分布式异构数据同步系统设计

为解决分布式数据传输丢包率过高的问题,建立更加稳定的异构信息同步共享环境,设计基于XML的分布式异构数据同步系统。借助数据转化模块,制定必要的XML生成与解析语句,利用异构模式提取模块,将分布式信息转存至数据库主机中,完成同步系统硬件执行环境的搭建。在此基础上,定义异构数据的分布型格式,根据已知的异构参数设定标准,建立同步性查询规则,完成系统软件执行环境的搭建,结合相关硬件设备结构,实现基于XML的分布式异构数据同步系统设计与应用。实验结果显示,与FPGA多通道型系统相比,基于XML语言的处理系统在面对传输分布式数据时,明显具备更低的丢包率水平,符合维护稳定性异构信息同步共享环境的实际应用需求。

利用多维评分进行在线评论的有用性预测

在线评论的有用性预测任务在当前的电子商务领域中发挥着重要的作用,该任务的目标是判断在线评论的有用性,进而重点展示对未来消费者更有帮助的评论,提高消费者获取信息的效率.在本文中,我们重点关注近年来在各大在线平台兴起的一种新的评分系统——多维评分系统,尝试研究用户在该系统中给出的方面评分对在线评论有用性的影响.本文提出了一个综合考虑了评论文本、用户总体评分和方面评分3种元素及其交互的多层次神经网络模型HORA来完成有用性预测任务.通过在两个真实世界的数据集上进行的实验结果表明,与当前的基线模型相比,HORA在MAE和RMSE两个指标上展示了更好的结果,同时在实验中也表现出了良好的鲁棒性,表明了方面评分对用户的在线评论有用性感知的重要意义.

R软件在高校成绩分析中的应用

学生考试成绩可以直观地反映学生对课程的学习情况以及学校的教学水平,分析高校不同专业学生成绩有助于学校专业之间的相互交流,提高学校综合实力。R语言是当下教学实践应用最广泛的数据分析软件之一,运用R软件可以对不同专业同一课程的学生成绩进行描述性分析,对成绩做出直方图与箱线图,直观地看出学生成绩分布状况,最后计算不同专业学生成绩的达标率并进行比较分析。结果显示,工科学生对理科理论知识的学习不够充分,表达了提高学校各专业之间相互学习的必要性。

基于XML的电力营销数据智能抽取方法研究

电力信息化的发展使得电力营销系统中的数据量不断增加,导致在数据抽取过程中的数据转换能力较差,从而造成抽取结果召回率偏高的情况。针对这一情况,利用可扩展标记语言(XML)的转换能力,设计了新的电力营销数据智能抽取方法。将电力营销数据规范为小范围数据链形式,并应用超文本敏感标题搜索(HITS)算法获取数据源。设定XML数据转换工具,利用XML定位描述符实现数据区域定位。在设定数据抽取规则与抽取内容的基础上,结合数据映射技术实现对电力营销数据的抽取。在性能测试过程中,将测试环境设定为平稳运行与数据入侵2种。通过对比结果可知,基于XML的抽取方法的召回率保持在7%以下,抽取耗时保持在800 ms以下,其值优于传统方法,充分证明了该方法的有效性。

BioTreasury:a community-based repository enabling indexing and rating of bioinformatics tools

The exponential growth of bioinformatics tools in recent years has posed challenges for scientists in selecting the most suitable one for their data analysis assignments.Therefore,to aid scientists in making informed choices,a community-based platform that indexes and rates bioinformatics tools is urgently needed.In this study,we introduce Bio Treasury(http://biotreasury.rjmart.cn),an integrated communitybased repository that provides an interactive platform for users and developers to share their experiences in various bioinformatics tools.Bio Treasury offers a comprehensive collection of well-indexed bioinformatics software,tools,and databases,totaling over 10,000 entries.In the past two years,we have continuously improved and maintained Bio Treasury,adding several exciting features,including creating structured homepages for every tool and user,a hierarchical category of bioinformatics tools and classifying tools using large language model(LLM).Bio Treasury streamlines the tool submission process with intelligent auto-completion.Additionally,Bio Treasury provides a wide range of social features,for example,enabling users to participate in interactive discussions,rate tools,build and share tool collections for the public.We believe Bio Treasury can be a valuable resource and knowledge-sharing platform for the biomedical community.It empowers researchers to effectively discover and evaluate bioinformatics tools,fostering collaboration and advancing bioinformatics research.