With the rapid popularization of artificial intelligence technology in the field of higher education,college students are increasingly dependent on AI tools such as ChatGPT,automatic writing assistants,and intelligent...With the rapid popularization of artificial intelligence technology in the field of higher education,college students are increasingly dependent on AI tools such as ChatGPT,automatic writing assistants,and intelligent translators.Behind the convenience and efficiency,a decline trend in students’core learning abilities such as autonomous learning ability,critical thinking ability,and knowledge construction ability has gradually emerged.This study aims to explore the interactive logical mechanism between college students’reliance on AI tools and the weakening of their learning abilities,and on this basis,propose practical and feasible educational intervention strategies.Research has found that while AI tools lower the learning threshold,they also weaken students’cognitive investment and independent thinking abilities,further intensifying their reliance on technology.In this regard,this paper proposes a three-dimensional intervention path based on guided usage,ability compensation,and value reconstruction to achieve the collaborative improvement of students’technical usage ability and learning ability.This research has certain theoretical value and practical enlightenment significance for solving the structural predicament of higher education in the intelligent era.展开更多
This paper investigates the potential of AI tools,particularly AI pens such as the Caterpillar pen,to enhance children's intrinsic motivation for English language learning in China.Compared to traditional exam-ori...This paper investigates the potential of AI tools,particularly AI pens such as the Caterpillar pen,to enhance children's intrinsic motivation for English language learning in China.Compared to traditional exam-oriented English education in China,the AI pens offer a more engaging and natural language environment through features like audio readings with native pronunciation,graded difficulty levels for various reading abilities,and repetitive exposure to vocabulary and sentence structures.These features can significantly increase children's intrinsic motivation by making learning enjoyable and effective.However,challenges such as limited research on AI's impact on intrinsic motivation and the ongoing need for parental supervision exist.To maximize the benefits of AI tools,they should be integrated into daily learning activities and used in conjunction with traditional teaching methods as opposed to replacing these methods.In this way,AI technology can become a valuable asset in fostering a love of language learning and in turn improving children's overall language proficiency.展开更多
The implementation of AI tools in education has become increasingly popular and brought transformative potential,particularly in the field of language education because of its powerful functions on designing immersive...The implementation of AI tools in education has become increasingly popular and brought transformative potential,particularly in the field of language education because of its powerful functions on designing immersive and personalized activities and offering real-time feedback.This study explores the role of AI tools in discourse analysis and the impact on enhancing bilingual skills among early childhood students.It investigates two key questions:(1)How do AI tools impact young children’s bilingual skills in early childhood classrooms?(2)How can discourse analysis of AI tools assist educators with bilingual teaching?A qualitative case study,including an in-depth interview with a bilingual educator,reveals insights into the effectiveness of AI tools in promoting bilingual language acquisition and engaging young learners in meaningful and enjoyable learning environment.Furthermore,the discourse analysis of AI tools offers immediate,actionable insights on each student’s academic performance,helping educators better understand the language learning process and the specific challenges students face.However,considerations and challenges of AI in education,such as privacy risks and misuse,still need to be considered.The findings of this study bridge the gap and highlight the potential for discourse analysis of AI tools in early childhood bilingual education.Further study can focus on exploring other AI tools in bilingual education and conducting long-term research with a large example size.展开更多
With the rapid development of artificial intelligence technology,the education sector is gradually exploring how AI tools to empower subject teaching.In this paper,the first lesson of Japan published by People s Educa...With the rapid development of artificial intelligence technology,the education sector is gradually exploring how AI tools to empower subject teaching.In this paper,the first lesson of Japan published by People s Education Press in the second semester of seventh grade is taken as an example,focusing on the feasibility of using AI tools for lesson preparation.Through the Meta Sota AI special topic,Kimi,deepseek,and Baidu AI images,lesson preparation is completed.Using Coze intelligent agents,interactive learning scenarios are developed to complete teaching design.Research has shown that AI technology can effectively improve the efficiency and quality of lesson preparation,and can assist in the implementation of core competencies in geography.This paper can provide a reference for the operability of AI empowering educational and teaching activities.展开更多
Review articles are comprehensive summaries of existing research,providing detailed overviews of specific topics while incorporating the authors’own perspectives and future outlooks.They help researchers quickly unde...Review articles are comprehensive summaries of existing research,providing detailed overviews of specific topics while incorporating the authors’own perspectives and future outlooks.They help researchers quickly understand the current state of knowledge,identify gaps,and guide future studies.By synthesizing the literature,review articles offer valuable context and insights that are crucial for advancing research in any field.However,as AI tools become increasingly sophisticated in their ability to read,summarize.展开更多
The recent ability of machines to generate text and images that are fluent,coherent,and culturally nuanced is already causing major upheavals in the translation sector.Machine translation tools have exploded in number...The recent ability of machines to generate text and images that are fluent,coherent,and culturally nuanced is already causing major upheavals in the translation sector.Machine translation tools have exploded in number,sophistication,and quality,and the profession of human translator needs to adapt to work within this new environment–and avoid being replaced by it.This paper examines the major changes that have taken place,and which could take place in the near future,and suggests ways of revising translator-training curricula to adapt to these challenges.This is essential at a time when the profession is undergoing profound changes and when all translators and future translators need to be prepared for new skills in the field of post-editing,machine-reading,machine-cultures and multidisciplinarity.After outlining the challenges that AI is causing to the profession and to the norms and values of the translation sector in its current state,the author suggests that translator training should adapt to the new reality of the profession and not to what it used to be.The profession is undergoing profound changes,and all translators and future translators need to find new skills and knowledge in order to continue to work with AI.The article concludes with recommendations on how to design AI-friendly translation programmes that can train students for the post-AI era.展开更多
Taxanes are diterpenoid natural products found in yew trees(Taxus spp.)and include three anticancer agents:paclitaxel,docetaxel,and cabazitaxel.Despite nearly 500 reported taxane compounds,only the biosynthetic pathwa...Taxanes are diterpenoid natural products found in yew trees(Taxus spp.)and include three anticancer agents:paclitaxel,docetaxel,and cabazitaxel.Despite nearly 500 reported taxane compounds,only the biosynthetic pathway of the type I taxane skeleton leading to paclitaxel is close to being fully elucidated.Traditional extraction of these compounds is unsustainable,and chemical synthesis is commercially nonvi-able.With emerging drug resistance and limited compound diversity,there is a critical need to expand the taxane library and develop sustainable production methods.Here,we propose strategies to elucidate the biosynthetic pathways of various taxane skeletons by identifying and engineering key enzymes such as diterpene synthases,cytochrome P450s(CYP450s),acetyltransferases,and BAHD acyltransferases(BEAT,AHCT,HCBT,and DAT).We examine the roles of metabolon-forming enzyme complexes in optimizing metabolic flux and highlight the use of plant chassis such as Nicotiana benthamiana or microbial chassis such as Escherichia coli and Saccharomyces cerevisiae for sustainable taxane biosynthesis.Techniques such as compartmentalization and CRISPRi-dCas9-based gene circuits are discussed as means to enhance production efficiency.Additionally,artificial intelligence(AI)-guided directed evolution of CYP450s is proposed as a strategy to engineer enzymes with desired properties,facilitating the production of novel and new-to-nature taxane derivatives.The integration of these approaches would support the development of a comprehensive taxane library,which could accelerate the discovery of new therapeutic agents.展开更多
AI tools have never been more accessible, and we are witnessing the transformative effects firsthand. In China’s classrooms, both educators and students are facing an unprecedented technological leap that promises to...AI tools have never been more accessible, and we are witnessing the transformative effects firsthand. In China’s classrooms, both educators and students are facing an unprecedented technological leap that promises to revolutionize how knowledge is acquired. AI is also helping rural China address challenges like an aging population and pest control, while easing the paperwork burdens of grassroots officials. Meanwhile, China’s savvy merchants are leveraging AI abroad to boost sales. Dive in to explore the latest strides of AI in China.展开更多
To the Editor,We read with great interest the recent study by Islam et al [1]. The article offers a timely and robust exploration into hypertension prediction using machine learning (ML) and explainable AI tools. The ...To the Editor,We read with great interest the recent study by Islam et al [1]. The article offers a timely and robust exploration into hypertension prediction using machine learning (ML) and explainable AI tools. The combination of XGBoost and Recursive Feature Elimination (RFE), supported by interpretability methods such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), resulted in a 91.5% accuracy and an area under the curve of 0.95, while also uncovering key predictors such as genetic pedigree coefficients and hemoglobin levels [1].展开更多
The authors discovered that Fig.4H and Fig.S3H in the published article contained incorrect images during the process of using AI tools to check published images.After carefully checking the original data,this was due...The authors discovered that Fig.4H and Fig.S3H in the published article contained incorrect images during the process of using AI tools to check published images.After carefully checking the original data,this was due to their unintended negligence during the extraction and handling of a large volume of experimental data in the process of assembling figures.The authors have replaced the incorrect images with the correct representative images.The updated Fig.4H and Fig.S3H are provided below.The original data of the figures have been provided to the Editorial Office,and the corresponding authors or the Editorial Office can be contacted for original data access.展开更多
基金The 2024 Higher Education Teaching Reform Project of Guangdong University of Science and Technology,“Teaching Practice of Human Resource Management Course Based on SPOC+FC Hybrid Teaching Mode”(GKZLGC2024024)。
文摘With the rapid popularization of artificial intelligence technology in the field of higher education,college students are increasingly dependent on AI tools such as ChatGPT,automatic writing assistants,and intelligent translators.Behind the convenience and efficiency,a decline trend in students’core learning abilities such as autonomous learning ability,critical thinking ability,and knowledge construction ability has gradually emerged.This study aims to explore the interactive logical mechanism between college students’reliance on AI tools and the weakening of their learning abilities,and on this basis,propose practical and feasible educational intervention strategies.Research has found that while AI tools lower the learning threshold,they also weaken students’cognitive investment and independent thinking abilities,further intensifying their reliance on technology.In this regard,this paper proposes a three-dimensional intervention path based on guided usage,ability compensation,and value reconstruction to achieve the collaborative improvement of students’technical usage ability and learning ability.This research has certain theoretical value and practical enlightenment significance for solving the structural predicament of higher education in the intelligent era.
文摘This paper investigates the potential of AI tools,particularly AI pens such as the Caterpillar pen,to enhance children's intrinsic motivation for English language learning in China.Compared to traditional exam-oriented English education in China,the AI pens offer a more engaging and natural language environment through features like audio readings with native pronunciation,graded difficulty levels for various reading abilities,and repetitive exposure to vocabulary and sentence structures.These features can significantly increase children's intrinsic motivation by making learning enjoyable and effective.However,challenges such as limited research on AI's impact on intrinsic motivation and the ongoing need for parental supervision exist.To maximize the benefits of AI tools,they should be integrated into daily learning activities and used in conjunction with traditional teaching methods as opposed to replacing these methods.In this way,AI technology can become a valuable asset in fostering a love of language learning and in turn improving children's overall language proficiency.
文摘The implementation of AI tools in education has become increasingly popular and brought transformative potential,particularly in the field of language education because of its powerful functions on designing immersive and personalized activities and offering real-time feedback.This study explores the role of AI tools in discourse analysis and the impact on enhancing bilingual skills among early childhood students.It investigates two key questions:(1)How do AI tools impact young children’s bilingual skills in early childhood classrooms?(2)How can discourse analysis of AI tools assist educators with bilingual teaching?A qualitative case study,including an in-depth interview with a bilingual educator,reveals insights into the effectiveness of AI tools in promoting bilingual language acquisition and engaging young learners in meaningful and enjoyable learning environment.Furthermore,the discourse analysis of AI tools offers immediate,actionable insights on each student’s academic performance,helping educators better understand the language learning process and the specific challenges students face.However,considerations and challenges of AI in education,such as privacy risks and misuse,still need to be considered.The findings of this study bridge the gap and highlight the potential for discourse analysis of AI tools in early childhood bilingual education.Further study can focus on exploring other AI tools in bilingual education and conducting long-term research with a large example size.
文摘With the rapid development of artificial intelligence technology,the education sector is gradually exploring how AI tools to empower subject teaching.In this paper,the first lesson of Japan published by People s Education Press in the second semester of seventh grade is taken as an example,focusing on the feasibility of using AI tools for lesson preparation.Through the Meta Sota AI special topic,Kimi,deepseek,and Baidu AI images,lesson preparation is completed.Using Coze intelligent agents,interactive learning scenarios are developed to complete teaching design.Research has shown that AI technology can effectively improve the efficiency and quality of lesson preparation,and can assist in the implementation of core competencies in geography.This paper can provide a reference for the operability of AI empowering educational and teaching activities.
文摘Review articles are comprehensive summaries of existing research,providing detailed overviews of specific topics while incorporating the authors’own perspectives and future outlooks.They help researchers quickly understand the current state of knowledge,identify gaps,and guide future studies.By synthesizing the literature,review articles offer valuable context and insights that are crucial for advancing research in any field.However,as AI tools become increasingly sophisticated in their ability to read,summarize.
文摘The recent ability of machines to generate text and images that are fluent,coherent,and culturally nuanced is already causing major upheavals in the translation sector.Machine translation tools have exploded in number,sophistication,and quality,and the profession of human translator needs to adapt to work within this new environment–and avoid being replaced by it.This paper examines the major changes that have taken place,and which could take place in the near future,and suggests ways of revising translator-training curricula to adapt to these challenges.This is essential at a time when the profession is undergoing profound changes and when all translators and future translators need to be prepared for new skills in the field of post-editing,machine-reading,machine-cultures and multidisciplinarity.After outlining the challenges that AI is causing to the profession and to the norms and values of the translation sector in its current state,the author suggests that translator training should adapt to the new reality of the profession and not to what it used to be.The profession is undergoing profound changes,and all translators and future translators need to find new skills and knowledge in order to continue to work with AI.The article concludes with recommendations on how to design AI-friendly translation programmes that can train students for the post-AI era.
基金the National Natural Science Foundation of China(grant no.32470416)the Guizhou Provincial Basic Research Program(Natural Science)-ZK[2023]-099the Central Government Guides Local Science and Technology Development Fund Projects(Qiankehezhongyindi(2024)007)for supporting this work.
文摘Taxanes are diterpenoid natural products found in yew trees(Taxus spp.)and include three anticancer agents:paclitaxel,docetaxel,and cabazitaxel.Despite nearly 500 reported taxane compounds,only the biosynthetic pathway of the type I taxane skeleton leading to paclitaxel is close to being fully elucidated.Traditional extraction of these compounds is unsustainable,and chemical synthesis is commercially nonvi-able.With emerging drug resistance and limited compound diversity,there is a critical need to expand the taxane library and develop sustainable production methods.Here,we propose strategies to elucidate the biosynthetic pathways of various taxane skeletons by identifying and engineering key enzymes such as diterpene synthases,cytochrome P450s(CYP450s),acetyltransferases,and BAHD acyltransferases(BEAT,AHCT,HCBT,and DAT).We examine the roles of metabolon-forming enzyme complexes in optimizing metabolic flux and highlight the use of plant chassis such as Nicotiana benthamiana or microbial chassis such as Escherichia coli and Saccharomyces cerevisiae for sustainable taxane biosynthesis.Techniques such as compartmentalization and CRISPRi-dCas9-based gene circuits are discussed as means to enhance production efficiency.Additionally,artificial intelligence(AI)-guided directed evolution of CYP450s is proposed as a strategy to engineer enzymes with desired properties,facilitating the production of novel and new-to-nature taxane derivatives.The integration of these approaches would support the development of a comprehensive taxane library,which could accelerate the discovery of new therapeutic agents.
文摘AI tools have never been more accessible, and we are witnessing the transformative effects firsthand. In China’s classrooms, both educators and students are facing an unprecedented technological leap that promises to revolutionize how knowledge is acquired. AI is also helping rural China address challenges like an aging population and pest control, while easing the paperwork burdens of grassroots officials. Meanwhile, China’s savvy merchants are leveraging AI abroad to boost sales. Dive in to explore the latest strides of AI in China.
文摘To the Editor,We read with great interest the recent study by Islam et al [1]. The article offers a timely and robust exploration into hypertension prediction using machine learning (ML) and explainable AI tools. The combination of XGBoost and Recursive Feature Elimination (RFE), supported by interpretability methods such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), resulted in a 91.5% accuracy and an area under the curve of 0.95, while also uncovering key predictors such as genetic pedigree coefficients and hemoglobin levels [1].
文摘The authors discovered that Fig.4H and Fig.S3H in the published article contained incorrect images during the process of using AI tools to check published images.After carefully checking the original data,this was due to their unintended negligence during the extraction and handling of a large volume of experimental data in the process of assembling figures.The authors have replaced the incorrect images with the correct representative images.The updated Fig.4H and Fig.S3H are provided below.The original data of the figures have been provided to the Editorial Office,and the corresponding authors or the Editorial Office can be contacted for original data access.
