With the rapid advancement of AI technology,especially the emergence of generative AI such as ChatGPT and ERNIE Bot,the field of education is undergoing profound changes.While they change the way information is obtain...With the rapid advancement of AI technology,especially the emergence of generative AI such as ChatGPT and ERNIE Bot,the field of education is undergoing profound changes.While they change the way information is obtained and processed,these AI technologies challenge traditional teaching models.Based on evaluating the feasibility of various generative AI tools for teaching and comparing their respective advantages and disadvantages,this paper delves into the application scenarios of these generative AI tools in English reading,writing,and translation,and explores their specific applications in the pre-class,in-class,and post-class parts of“College English Reading,Writing,and Translation”.It is hoped that through innovative teaching methods,both students’learning effectiveness and teachers’teaching efficiency can be improved.At the same time,it is crucial to guide students in recognizing the misinformation and biases that exist in generative AI,while emphasizing the significance of originality and intellectual property.Moreover,their critical thinking skills and proper academic concepts could be cultivated and help them prevent academic misconduct.展开更多
This study investigates the role of generative large language models(GLLMs)in supporting complex selection and evaluation tasks within the academic paper review process.Using empirical data from management journal sub...This study investigates the role of generative large language models(GLLMs)in supporting complex selection and evaluation tasks within the academic paper review process.Using empirical data from management journal submissions,we compared the performance of six leading GLLMs(Claude 3.5,GPT-4O,Gemini 2.5,Deepseek-R3,Moonshot-V1(kimi),and Qwen-Long)against human editors and reviewers.The results show that,at the editorial screening stage,GLLMs can help editors identify manuscripts with low publication potential,with aggregated model scores closely matching human editorial decisions.At the review stage,comments generated by the union of any three GLLMs from six GLLMs can cover over 61%of issues raised by human reviewers and are rated as superior by management professors.These findings demonstrate that GLLMs can complement human judgment in multi-stage,knowledge-intensive decision processes,improving both the efficiency and quality of academic paper reviews.The study expands the application boundaries of generative Al in management research evaluation and offers practical insights for integrating GLLMs into scholarly review workflows.展开更多
随着人工智能技术的发展,集成了检索增强生成的AI附加组件在学术搜索领域日益普及。文章对PrimoResearch Assistant、Web of Science Research Assistant和Scopus AI三款工具开展了详细的对比研究,从检索与生成机制、预过滤和查询解析...随着人工智能技术的发展,集成了检索增强生成的AI附加组件在学术搜索领域日益普及。文章对PrimoResearch Assistant、Web of Science Research Assistant和Scopus AI三款工具开展了详细的对比研究,从检索与生成机制、预过滤和查询解析、结果输出及用户体验、定价条款、可解释性和可重复性等多个维度进行分析,并通过布尔检索策略生成方式、检索增强生成答案等测试评估其性能表现,旨在为学术研究人员和图书馆员提供参考依据,帮助其选择最适合的工具以提高学术搜索效率。展开更多
基金Teaching Reform Program of Guangxi University of Chinese Medicine(XGJ23097,2024B028),Teaching Reform Program of Guangxi Higher Education(2024JGB229).
文摘With the rapid advancement of AI technology,especially the emergence of generative AI such as ChatGPT and ERNIE Bot,the field of education is undergoing profound changes.While they change the way information is obtained and processed,these AI technologies challenge traditional teaching models.Based on evaluating the feasibility of various generative AI tools for teaching and comparing their respective advantages and disadvantages,this paper delves into the application scenarios of these generative AI tools in English reading,writing,and translation,and explores their specific applications in the pre-class,in-class,and post-class parts of“College English Reading,Writing,and Translation”.It is hoped that through innovative teaching methods,both students’learning effectiveness and teachers’teaching efficiency can be improved.At the same time,it is crucial to guide students in recognizing the misinformation and biases that exist in generative AI,while emphasizing the significance of originality and intellectual property.Moreover,their critical thinking skills and proper academic concepts could be cultivated and help them prevent academic misconduct.
基金supported by the National Natural Science Foundation of China[grant number 72372102]for the project'Research on the coordination mechanism of digital transformation strategies between leading firms and follower firms in business ecosystem'.
文摘This study investigates the role of generative large language models(GLLMs)in supporting complex selection and evaluation tasks within the academic paper review process.Using empirical data from management journal submissions,we compared the performance of six leading GLLMs(Claude 3.5,GPT-4O,Gemini 2.5,Deepseek-R3,Moonshot-V1(kimi),and Qwen-Long)against human editors and reviewers.The results show that,at the editorial screening stage,GLLMs can help editors identify manuscripts with low publication potential,with aggregated model scores closely matching human editorial decisions.At the review stage,comments generated by the union of any three GLLMs from six GLLMs can cover over 61%of issues raised by human reviewers and are rated as superior by management professors.These findings demonstrate that GLLMs can complement human judgment in multi-stage,knowledge-intensive decision processes,improving both the efficiency and quality of academic paper reviews.The study expands the application boundaries of generative Al in management research evaluation and offers practical insights for integrating GLLMs into scholarly review workflows.
文摘随着人工智能技术的发展,集成了检索增强生成的AI附加组件在学术搜索领域日益普及。文章对PrimoResearch Assistant、Web of Science Research Assistant和Scopus AI三款工具开展了详细的对比研究,从检索与生成机制、预过滤和查询解析、结果输出及用户体验、定价条款、可解释性和可重复性等多个维度进行分析,并通过布尔检索策略生成方式、检索增强生成答案等测试评估其性能表现,旨在为学术研究人员和图书馆员提供参考依据,帮助其选择最适合的工具以提高学术搜索效率。
