Preceding works tend to explicate affordance through supposing what is happening here and now.They seldom relate it to actual social,diachronic activities,such as foreign language learning.To tackle this issue,this st...Preceding works tend to explicate affordance through supposing what is happening here and now.They seldom relate it to actual social,diachronic activities,such as foreign language learning.To tackle this issue,this study explores how students actualize affordances in technology-enriched language learning environment(TELLE)by examining their perezhivanija(lived and emotional experience),a term borrowed from sociocultural theory.Because an individual’s social life is a developing process or a perezhivanie2,it is necessary to base the research in a dynamic development of language learning to figure out how the affordances are actualized.Narrative interviews were adopted to collect data from three Chinese college students who learn English as a foreign language in a Northeastern university in China.The results showed that due to the students’different past perezhivanija in English learning,their present interpretations of the perceived affordances in TELLE varied.This influenced hugely in their actions taken during their English learning in college to actualize the affordances.The findings indicated that the actualization of affordances is historical,dynamic and developmental instead of static.It does not lie in the autonomy of the students or the teachers,but in the institutional and cultural legitimacy of technology use in student’s social life.The paper contributes to the application of affordance theory in foreign language learning and provides implications to language teaching practice in TELLE.展开更多
The rapid development of information and communication technology in recent years is associated with a corresponding growth in interest in computer-mediated communication(CMC)-synchronous CMC and asynchronous CMC.Amon...The rapid development of information and communication technology in recent years is associated with a corresponding growth in interest in computer-mediated communication(CMC)-synchronous CMC and asynchronous CMC.Among asynchronous CMC,email communication has attracted more attention of researchers in the field of foreign language learning.This paper will review studies which investigate one aspect of the advantages of email communication-an active environment for foreign language learning.展开更多
In the plurilingual and multicultural contemporary international setting,the educational systems opt for successfully meeting as well as adapting to the rapid social,economic,and technological changes.Based on the pre...In the plurilingual and multicultural contemporary international setting,the educational systems opt for successfully meeting as well as adapting to the rapid social,economic,and technological changes.Based on the premise that intercultural communicative competence holds a significant potential for foreign language instruction,focus should throw into combining teachers’intercultural knowledge with pedagogy and technology.The prospect of introducing intercultural material within the context of teaching scenarios in the curricula of a technology-enhanced foreign language learning environment where the Technological Pedagogical Content Knowledge(TPACK)approach is implemented,can positively contribute to the teaching process.Under this perspective,cultural and digitally competent teachers can create a framework which will enable learners to fully develop their interactive and linguistic skills and to effectively communicate in a foreign language promoting its social and multicultural dimension whatever the intercultural context.展开更多
Language education centers primarily on fostering linguistic skills and language communication skills for students. In the process of teaching Chinese language, it is in the classroom that is the place tofoster studen...Language education centers primarily on fostering linguistic skills and language communication skills for students. In the process of teaching Chinese language, it is in the classroom that is the place tofoster student’s linguistic competence and language communication capacity. Therefore, classroom teaching becomes the main place tofoster the language ability and language communication capacity for students while the extracurricular activities are the place for students to apply the knowledge they have learned in the classroom in to the real world. Conducting a survey to investigate extracurricular activities for Chinese language majors at Thai Nguyen University, School of Foreign Languages, the paper proposes solutions to improve the effectiveness of extracurricular activities for students and create excitement for students in learning.展开更多
The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, c...The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, combining the virtual reality technology to construct the language environment of foreign language learning. The virtual community of foreign language leaming can improve the sense of language authenticity in foreign language learning and improve the quality of foreign language teaching. A method of building a virtual community for foreign language learning is proposed based on data mining technology, data acquisition and feature preprocessing model for building semantic vocabulary of foreign language learning is constructed, the linguistic environment characteristics of the semantic vocabulary data of foreign language learning is analyzed, and the semantic noumenon structure model is obtained. Fuzzy clustering method is used for vocabulary clustering and comprehensive retrieval in the virtual community of foreign language learning, the performance of vocabulary classification in foreign language learning is improved, the adaptive semantic information fusion method is used to realize the vocabulary data mining in the virtual community of foreign language learning, information retrieval and access scheduling for virtual communities in foreign language learning are realized based on data mining results. The simulation results show that the accuracy of foreign language vocabulary retrieval is good, improve the efficiency of foreign language learning.展开更多
Motivationis a term both teachers and learners talk about most when they refer to language learning success or failure ( D?rnyei,2001) since there is a strong co-relationship between motivation and language learning (...Motivationis a term both teachers and learners talk about most when they refer to language learning success or failure ( D?rnyei,2001) since there is a strong co-relationship between motivation and language learning ( Horwitz,2013) . Although re-search and theories on the importance and types of motivation are productive, educators still feel having little guidance on how to mo-tivate their students in schooling ( Shernoff,2013) . Here, I would like to introduce some motivational teaching practices, such as providing authentic learning opportunities, fostering student autonomy and creating an emotionally supportive environment, to our language teachers who wish to create engaging learning experiences for ESOL or EFL learners.展开更多
这篇《语言学习与语言环境》,旨在反驳一种曾经颇为流行的观点,即认为儿童是通过消极被动地摹仿所接触到的人(特别是父母)说的话而学会第一语言的,儿童的语言环境在其语言学习中起着主导作用,而儿童自身则被降低到类乎一架不完善的录音...这篇《语言学习与语言环境》,旨在反驳一种曾经颇为流行的观点,即认为儿童是通过消极被动地摹仿所接触到的人(特别是父母)说的话而学会第一语言的,儿童的语言环境在其语言学习中起着主导作用,而儿童自身则被降低到类乎一架不完善的录音机的地位。这种观点还认为,父母或别人通常在儿童摹仿得正确时给予肯定或赞许的表示,而在摹仿不正确时则不作这种表示,他们通过这种叫做“强化”(reinforcement)的行为在儿童的语言学习中发挥积极的作用。 本文的论题牵涉到哲学上两种观点,即经验论和唯理论的对立,也牵涉到心理学上两种观点,即行为主义和心灵主义的对立。这些观点中,没有一种原则上完全否定或排除先天禀赋或后天环境在人类认识(包括语言学习)中的作用,争论的焦点在于哪些源于先天,哪些得自后天。本文引证了多种对儿童学习母语进行观察和实验所得的材料,具体论证语言学习中有些东西的学得不靠摹仿,也无从摹仿,不靠强化,也无由强化,而是儿童先天具备的,随着心智的发育不学而能。 全文共四节。第一节引证语音、词法、句法、语义四个方面的例证说明有哪些东西不可能依靠被动的摹仿学会,而是一种受抽象的规则支配的语言表现。这种表现在不同的儿童身上(包括学习不同母语的儿童)是相同的,而其所体现的规则与Chomsky等生成转换语法学者所描述的规则颇多相似之处。 第二节论证行为主义心理学所谓的“强化”并不是教给儿童语言的重要手段。儿童学会语言不依靠缓解某种生物需求,如饥饿之类(即便动物的学习,如老鼠走迷宫,也不尽然)。而且,成年人对儿童的语言表现所作的肯定与否定、赞许与不赞许等等表示,即或算是一种强化,也多半是针对话语内容真假、意思当否而发的,而不是着眼于语言形式的正误。 第三节通过自幼失聪因而无从接触语言的儿童的手势交际活动的形成和发展,来证明儿童学习语言有许多地方不需要从语言环境中吸取知识,即使与语言环境完全隔绝,也可以认识到语言体系中的某些方面。儿童可以能动地对语言结构提出自己的假设,而他的假设则受到与语言交际本质有关的遗传倾向的制约。作者引用观察材料说明,生而聋哑的儿童能自行创造和使用一套表达情意的手势,这种手势表达方法在结构上与处于同一发育阶段的正常儿童所说的语言有惊人的相似之处。不同的地方往往是一些随具体语言而异的特点,例如这种手势语没有相当于词尾变化和助动词的成分。 文章还引证“母式语言”(motherese)对儿童语言学习的影响,说明母亲对幼儿不论使用怎样的语言,对于儿童语言的基本命题结构(basic propositional structure,按指由名词成分和动词成分结合而成的基本句式)没有多少影响,能有所影响的同样也限于那些随具体语言而异的特点,如词尾变化和助动词之类。但即便是这一方面也离不开天生素质的作用。 第四节从成人语言体系的特性中找出例证,说明语言中有些具有抽象性质的结构关系,不可能依靠来自语言环境的知识,通过摹仿或归纳的方法来掌握。文章引用了Chomsky举过的两个例子,其中一个是英语中陈述句That is a cow中第一个动词is移置句首即构成疑问句Is that a cow?但是儿童从来不会根据这类例子错误地类推出与陈述句The man who is here is your father对应的疑问句是Is the man who here isyour father?Chomsky认为儿童不可能从接触到的语言材料中认识到这一规则,因为这里需要考虑到陈述句中用作主语的名词短语这一结构单位,而不能单纯根据一串平列的词的位置,把第一个动词is移置句首。本文作者引用目前语言研究中新兴的“可学性理论”(learnability theory)来分析儿童如何能够掌握比较抽象的语言结构。这一理论先设定:儿童所学语言的语法(即语言体系)为G,所接触的语言材料为D,所采用的学习程序为 P,然后分析儿童有无可能凭借D,应用P,学得G。如果答案是否定的,那么除了改变关于G,D,P的假设,就只能假设儿童先天地掌握了在上述假设条件下所不可能学到的东西。作者认为,这后一可能解决办法最有吸引力。有人有力地论证了,儿童需要知道一些关于语法规则的运用的非常抽象的性质,才有可能学会运用它。这是本文所持论点的又一条根据。展开更多
Nowadays,English movies have been considered as one of the most effective ways to assist students to keep interest in improving their English abilities and enlarge their English vocabularies,as well as their cross cul...Nowadays,English movies have been considered as one of the most effective ways to assist students to keep interest in improving their English abilities and enlarge their English vocabularies,as well as their cross cultural communicative ability.Based on the functions of English movies,which make them meet the needs of college students’English acquisition,this paper analyzes the advantages of English movies in English learning.展开更多
This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost,a machine learning algorithm renowned for its efficiency and performance.The framework proposed...This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost,a machine learning algorithm renowned for its efficiency and performance.The framework proposed herein utilizes the fusion of diversified feature formats,specifically,metadata,textual,and pattern features.The goal is to enhance the system’s ability to discern and generalize transformation rules fromsource to destination formats in varied contexts.Firstly,the article delves into the methodology for extracting these distinct features from raw data and the pre-processing steps undertaken to prepare the data for the model.Subsequent sections expound on the mechanism of feature optimization using Recursive Feature Elimination(RFE)with linear regression,aiming to retain the most contributive features and eliminate redundant or less significant ones.The core of the research revolves around the deployment of the XGBoostmodel for training,using the prepared and optimized feature sets.The article presents a detailed overview of the mathematical model and algorithmic steps behind this procedure.Finally,the process of rule discovery(prediction phase)by the trained XGBoost model is explained,underscoring its role in real-time,automated data transformations.By employingmachine learning and particularly,the XGBoost model in the context of Business Rule Engine(BRE)data transformation,the article underscores a paradigm shift towardsmore scalable,efficient,and less human-dependent data transformation systems.This research opens doors for further exploration into automated rule discovery systems and their applications in various sectors.展开更多
Inferring the fully qualified names(FQNs)of undeclared receiving objects and non-fully-qualified type names(non-FQNs)in partial code is critical for effectively searching,understanding,and reusing partial code.Existin...Inferring the fully qualified names(FQNs)of undeclared receiving objects and non-fully-qualified type names(non-FQNs)in partial code is critical for effectively searching,understanding,and reusing partial code.Existing type inference tools,such as COSTER and SNR,rely on a symbolic knowledge base and adopt a dictionary-lookup strategy to map simple names of undeclared receiving objects and non-FQNs to FQNs.However,building a symbolic knowledge base requires parsing compilable code files,which limits the collection of APIs and code contexts,resulting in out-of-vocabulary(OOV)failures.To overcome the limitations of a symbolic knowledge base for FQN inference,we implemented Ask Me Any Type(AMAT),a type of inference plugin embedded in web browsers and integrated development environment(IDE).Unlike the dictionary-lookup strategy,AMAT uses a cloze-style fill-in-the-blank strategy for type inference.By treating code as text,AMAT leverages a fine-tuned large language model(LLM)as a neural knowledge base,thereby preventing the need for code compilation.Experimental results show that AMAT outperforms state-of-the-art tools such as COSTER and SNR.In practice,developers can directly reuse partial code by inferring the FQNs of unresolved type names in real time.展开更多
基金part of the work for the National Project on Social Sciences“Efficacy of Ecological Affordances Actualization in Language Learning Environment in China in the Technology Era”(16BYY093)
文摘Preceding works tend to explicate affordance through supposing what is happening here and now.They seldom relate it to actual social,diachronic activities,such as foreign language learning.To tackle this issue,this study explores how students actualize affordances in technology-enriched language learning environment(TELLE)by examining their perezhivanija(lived and emotional experience),a term borrowed from sociocultural theory.Because an individual’s social life is a developing process or a perezhivanie2,it is necessary to base the research in a dynamic development of language learning to figure out how the affordances are actualized.Narrative interviews were adopted to collect data from three Chinese college students who learn English as a foreign language in a Northeastern university in China.The results showed that due to the students’different past perezhivanija in English learning,their present interpretations of the perceived affordances in TELLE varied.This influenced hugely in their actions taken during their English learning in college to actualize the affordances.The findings indicated that the actualization of affordances is historical,dynamic and developmental instead of static.It does not lie in the autonomy of the students or the teachers,but in the institutional and cultural legitimacy of technology use in student’s social life.The paper contributes to the application of affordance theory in foreign language learning and provides implications to language teaching practice in TELLE.
文摘The rapid development of information and communication technology in recent years is associated with a corresponding growth in interest in computer-mediated communication(CMC)-synchronous CMC and asynchronous CMC.Among asynchronous CMC,email communication has attracted more attention of researchers in the field of foreign language learning.This paper will review studies which investigate one aspect of the advantages of email communication-an active environment for foreign language learning.
文摘In the plurilingual and multicultural contemporary international setting,the educational systems opt for successfully meeting as well as adapting to the rapid social,economic,and technological changes.Based on the premise that intercultural communicative competence holds a significant potential for foreign language instruction,focus should throw into combining teachers’intercultural knowledge with pedagogy and technology.The prospect of introducing intercultural material within the context of teaching scenarios in the curricula of a technology-enhanced foreign language learning environment where the Technological Pedagogical Content Knowledge(TPACK)approach is implemented,can positively contribute to the teaching process.Under this perspective,cultural and digitally competent teachers can create a framework which will enable learners to fully develop their interactive and linguistic skills and to effectively communicate in a foreign language promoting its social and multicultural dimension whatever the intercultural context.
文摘Language education centers primarily on fostering linguistic skills and language communication skills for students. In the process of teaching Chinese language, it is in the classroom that is the place tofoster student’s linguistic competence and language communication capacity. Therefore, classroom teaching becomes the main place tofoster the language ability and language communication capacity for students while the extracurricular activities are the place for students to apply the knowledge they have learned in the classroom in to the real world. Conducting a survey to investigate extracurricular activities for Chinese language majors at Thai Nguyen University, School of Foreign Languages, the paper proposes solutions to improve the effectiveness of extracurricular activities for students and create excitement for students in learning.
文摘The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, combining the virtual reality technology to construct the language environment of foreign language learning. The virtual community of foreign language leaming can improve the sense of language authenticity in foreign language learning and improve the quality of foreign language teaching. A method of building a virtual community for foreign language learning is proposed based on data mining technology, data acquisition and feature preprocessing model for building semantic vocabulary of foreign language learning is constructed, the linguistic environment characteristics of the semantic vocabulary data of foreign language learning is analyzed, and the semantic noumenon structure model is obtained. Fuzzy clustering method is used for vocabulary clustering and comprehensive retrieval in the virtual community of foreign language learning, the performance of vocabulary classification in foreign language learning is improved, the adaptive semantic information fusion method is used to realize the vocabulary data mining in the virtual community of foreign language learning, information retrieval and access scheduling for virtual communities in foreign language learning are realized based on data mining results. The simulation results show that the accuracy of foreign language vocabulary retrieval is good, improve the efficiency of foreign language learning.
文摘Motivationis a term both teachers and learners talk about most when they refer to language learning success or failure ( D?rnyei,2001) since there is a strong co-relationship between motivation and language learning ( Horwitz,2013) . Although re-search and theories on the importance and types of motivation are productive, educators still feel having little guidance on how to mo-tivate their students in schooling ( Shernoff,2013) . Here, I would like to introduce some motivational teaching practices, such as providing authentic learning opportunities, fostering student autonomy and creating an emotionally supportive environment, to our language teachers who wish to create engaging learning experiences for ESOL or EFL learners.
文摘这篇《语言学习与语言环境》,旨在反驳一种曾经颇为流行的观点,即认为儿童是通过消极被动地摹仿所接触到的人(特别是父母)说的话而学会第一语言的,儿童的语言环境在其语言学习中起着主导作用,而儿童自身则被降低到类乎一架不完善的录音机的地位。这种观点还认为,父母或别人通常在儿童摹仿得正确时给予肯定或赞许的表示,而在摹仿不正确时则不作这种表示,他们通过这种叫做“强化”(reinforcement)的行为在儿童的语言学习中发挥积极的作用。 本文的论题牵涉到哲学上两种观点,即经验论和唯理论的对立,也牵涉到心理学上两种观点,即行为主义和心灵主义的对立。这些观点中,没有一种原则上完全否定或排除先天禀赋或后天环境在人类认识(包括语言学习)中的作用,争论的焦点在于哪些源于先天,哪些得自后天。本文引证了多种对儿童学习母语进行观察和实验所得的材料,具体论证语言学习中有些东西的学得不靠摹仿,也无从摹仿,不靠强化,也无由强化,而是儿童先天具备的,随着心智的发育不学而能。 全文共四节。第一节引证语音、词法、句法、语义四个方面的例证说明有哪些东西不可能依靠被动的摹仿学会,而是一种受抽象的规则支配的语言表现。这种表现在不同的儿童身上(包括学习不同母语的儿童)是相同的,而其所体现的规则与Chomsky等生成转换语法学者所描述的规则颇多相似之处。 第二节论证行为主义心理学所谓的“强化”并不是教给儿童语言的重要手段。儿童学会语言不依靠缓解某种生物需求,如饥饿之类(即便动物的学习,如老鼠走迷宫,也不尽然)。而且,成年人对儿童的语言表现所作的肯定与否定、赞许与不赞许等等表示,即或算是一种强化,也多半是针对话语内容真假、意思当否而发的,而不是着眼于语言形式的正误。 第三节通过自幼失聪因而无从接触语言的儿童的手势交际活动的形成和发展,来证明儿童学习语言有许多地方不需要从语言环境中吸取知识,即使与语言环境完全隔绝,也可以认识到语言体系中的某些方面。儿童可以能动地对语言结构提出自己的假设,而他的假设则受到与语言交际本质有关的遗传倾向的制约。作者引用观察材料说明,生而聋哑的儿童能自行创造和使用一套表达情意的手势,这种手势表达方法在结构上与处于同一发育阶段的正常儿童所说的语言有惊人的相似之处。不同的地方往往是一些随具体语言而异的特点,例如这种手势语没有相当于词尾变化和助动词的成分。 文章还引证“母式语言”(motherese)对儿童语言学习的影响,说明母亲对幼儿不论使用怎样的语言,对于儿童语言的基本命题结构(basic propositional structure,按指由名词成分和动词成分结合而成的基本句式)没有多少影响,能有所影响的同样也限于那些随具体语言而异的特点,如词尾变化和助动词之类。但即便是这一方面也离不开天生素质的作用。 第四节从成人语言体系的特性中找出例证,说明语言中有些具有抽象性质的结构关系,不可能依靠来自语言环境的知识,通过摹仿或归纳的方法来掌握。文章引用了Chomsky举过的两个例子,其中一个是英语中陈述句That is a cow中第一个动词is移置句首即构成疑问句Is that a cow?但是儿童从来不会根据这类例子错误地类推出与陈述句The man who is here is your father对应的疑问句是Is the man who here isyour father?Chomsky认为儿童不可能从接触到的语言材料中认识到这一规则,因为这里需要考虑到陈述句中用作主语的名词短语这一结构单位,而不能单纯根据一串平列的词的位置,把第一个动词is移置句首。本文作者引用目前语言研究中新兴的“可学性理论”(learnability theory)来分析儿童如何能够掌握比较抽象的语言结构。这一理论先设定:儿童所学语言的语法(即语言体系)为G,所接触的语言材料为D,所采用的学习程序为 P,然后分析儿童有无可能凭借D,应用P,学得G。如果答案是否定的,那么除了改变关于G,D,P的假设,就只能假设儿童先天地掌握了在上述假设条件下所不可能学到的东西。作者认为,这后一可能解决办法最有吸引力。有人有力地论证了,儿童需要知道一些关于语法规则的运用的非常抽象的性质,才有可能学会运用它。这是本文所持论点的又一条根据。
文摘Nowadays,English movies have been considered as one of the most effective ways to assist students to keep interest in improving their English abilities and enlarge their English vocabularies,as well as their cross cultural communicative ability.Based on the functions of English movies,which make them meet the needs of college students’English acquisition,this paper analyzes the advantages of English movies in English learning.
文摘This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost,a machine learning algorithm renowned for its efficiency and performance.The framework proposed herein utilizes the fusion of diversified feature formats,specifically,metadata,textual,and pattern features.The goal is to enhance the system’s ability to discern and generalize transformation rules fromsource to destination formats in varied contexts.Firstly,the article delves into the methodology for extracting these distinct features from raw data and the pre-processing steps undertaken to prepare the data for the model.Subsequent sections expound on the mechanism of feature optimization using Recursive Feature Elimination(RFE)with linear regression,aiming to retain the most contributive features and eliminate redundant or less significant ones.The core of the research revolves around the deployment of the XGBoostmodel for training,using the prepared and optimized feature sets.The article presents a detailed overview of the mathematical model and algorithmic steps behind this procedure.Finally,the process of rule discovery(prediction phase)by the trained XGBoost model is explained,underscoring its role in real-time,automated data transformations.By employingmachine learning and particularly,the XGBoost model in the context of Business Rule Engine(BRE)data transformation,the article underscores a paradigm shift towardsmore scalable,efficient,and less human-dependent data transformation systems.This research opens doors for further exploration into automated rule discovery systems and their applications in various sectors.
基金Supported by the Key Scientific and Technological Research Projects of the Jiangxi Provincial Department of Education(GJJ2200303)the National Social Science Foundation Major Bidding Project(20&ZD068)。
文摘Inferring the fully qualified names(FQNs)of undeclared receiving objects and non-fully-qualified type names(non-FQNs)in partial code is critical for effectively searching,understanding,and reusing partial code.Existing type inference tools,such as COSTER and SNR,rely on a symbolic knowledge base and adopt a dictionary-lookup strategy to map simple names of undeclared receiving objects and non-FQNs to FQNs.However,building a symbolic knowledge base requires parsing compilable code files,which limits the collection of APIs and code contexts,resulting in out-of-vocabulary(OOV)failures.To overcome the limitations of a symbolic knowledge base for FQN inference,we implemented Ask Me Any Type(AMAT),a type of inference plugin embedded in web browsers and integrated development environment(IDE).Unlike the dictionary-lookup strategy,AMAT uses a cloze-style fill-in-the-blank strategy for type inference.By treating code as text,AMAT leverages a fine-tuned large language model(LLM)as a neural knowledge base,thereby preventing the need for code compilation.Experimental results show that AMAT outperforms state-of-the-art tools such as COSTER and SNR.In practice,developers can directly reuse partial code by inferring the FQNs of unresolved type names in real time.