生成式人工智能正深刻变革教育,相关研究文献不断涌现。文章通过收集知网、Scopus和Web of Science中与研究主题相关的中英文文献,利用BERTopic主题建模技术对文献进行主题聚类,挖掘国内外高等教育中生成式人工智能的研究主题,分析研究...生成式人工智能正深刻变革教育,相关研究文献不断涌现。文章通过收集知网、Scopus和Web of Science中与研究主题相关的中英文文献,利用BERTopic主题建模技术对文献进行主题聚类,挖掘国内外高等教育中生成式人工智能的研究主题,分析研究现状,为教育领域的教学实践和学术研究提供参考。研究结果表明:在个性化学习与人机协同方面,生成式人工智能通过制定个性化学习路径显著提升教学效果;师生对生成式人工智能的接受程度受技术认知和使用体验等因素制约,并直接影响应用成效;教育创新需平衡技术赋能与过度依赖问题;教学设计与课程实践的革新更多体现在教学模式和资源生成方式上,但必须同步构建学术伦理防护与治理机制;人工智能时代亟须人才培养结构的优化升级,要求教育者重新定义核心能力目标。展开更多
Purpose: Based on the weak tie theory, this paper proposes a series of connection indicators Acof weak tie subnets and weak tie nodes to detect research topics, recognize their connections, and understand their evolut...Purpose: Based on the weak tie theory, this paper proposes a series of connection indicators Acof weak tie subnets and weak tie nodes to detect research topics, recognize their connections, and understand their evolution.Design/methodology/approach: First, keywords are extracted from article titles and preprocessed. Second, high-frequency keywords are selected to generate weak tie co-occurrence networks. By removing the internal lines of clustered sub-topic networks, we focus on the analysis of weak tie subnets’ composition and functions and the weak tie nodes’ roles.Findings: The research topics’ clusters and themes changed yearly; the subnets clustered with technique-related and methodology-related topics have been the core, important subnets for years; while close subnets are highly independent, research topics are generally concentrated and most topics are application-related; the roles and functions of nodes and weak ties are diversified.Research limitations: The parameter values are somewhat inconsistent; the weak tie subnets and nodes are classified based on empirical observations, and the conclusions are not verified or compared to other methods.Practical implications: The research is valuable for detecting important research topics as well as their roles, interrelations, and evolution trends. Originality/value: To contribute to the strength of weak tie theory, the research translates weak and strong ties concepts to co-occurrence strength, and analyzes weak ties’ functions. Also, the research proposes a quantitative method to classify and measure the topics’ clusters and nodes.展开更多
Purpose: Formal concept analysis(FCA) and concept lattice theory(CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration.Design/methodolo...Purpose: Formal concept analysis(FCA) and concept lattice theory(CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration.Design/methodology/approach: We introduced the theory and applications of FCA and CLT, and then proposed a method for interdisciplinary knowledge discovery based on CLT. As an example of empirical analysis, interdisciplinary research(IDR) topics in Information & Library Science(LIS) and Medical Informatics, and in LIS and Geography-Physical, were utilized as empirical fields. Subsequently, we carried out a comparative analysis with two other IDR topic recognition methods.Findings: The CLT approach is suitable for IDR topic identification and predictions.Research limitations: IDR topic recognition based on the CLT is not sensitive to the interdisciplinarity of topic terms, since the data can only reflect whether there is a relationship between the discipline and the topic terms. Moreover, the CLT cannot clearly represent a large amounts of concepts.Practical implications: A deeper understanding of the IDR topics was obtained as the structural and hierarchical relationships between them were identified, which can help to get more precise identification and prediction to IDR topics.Originality/value: IDR topics identification based on CLT have performed well and this theory has several advantages for identifying and predicting IDR topics. First, in a concept lattice, there is a partial order relation between interconnected nodes, and consequently, a complete concept lattice can present hierarchical properties. Second, clustering analysis of IDR topics based on concept lattices can yield clusters that highlight the essential knowledge features and help display the semantic relationship between different IDR topics. Furthermore, the Hasse diagram automatically displays all the IDR topics associated with the different disciplines, thus forming clusters of specific concepts and visually retaining and presenting the associations of IDR topics through multiple inheritance relationships between the concepts.展开更多
The major research program,"Catalysis science for carbon-based energy conversion",from the national science foundation of China(NSFC)answers to the main strategic needs of China for the efficien use of carbo...The major research program,"Catalysis science for carbon-based energy conversion",from the national science foundation of China(NSFC)answers to the main strategic needs of China for the efficien use of carbon-based energy and targets to address the key scientifi issues involved in the catalytic interfaces.The research program aims to improve the catalytic activation of C–H and C–O bonds and the C–C coupling process,展开更多
In this article , the present state of cotton production in Xinjiang is introduced. The strong points and problems in cotton production are discussed in detail. In addition, cotton research advances are reviewed in a ...In this article , the present state of cotton production in Xinjiang is introduced. The strong points and problems in cotton production are discussed in detail. In addition, cotton research advances are reviewed in a comprehensive manner. In consideration of all this, the authors expound some monographic topics and disciplinary projects regarding Xinjiang cotton research which are to be implemented in the years to come.展开更多
How to select a research topic that is appropriate for a clinician and that can lead to a peer-reviewed publication?In this essay,I will provide 5 tips:keep it interesting,keep it relevant,keep it inclusive,keep it si...How to select a research topic that is appropriate for a clinician and that can lead to a peer-reviewed publication?In this essay,I will provide 5 tips:keep it interesting,keep it relevant,keep it inclusive,keep it simple,and keep it trying.Keep it展开更多
AI for Science推动了信息资源管理学科研究方法体系的深刻变革,系统梳理国内外研究方法的演化趋势,有助于把握学科发展方向、推动学科创新。本文优化现有研究方法分类体系,将研究方法分为主流型、新兴型、边缘型、衰退型四种类型。以1...AI for Science推动了信息资源管理学科研究方法体系的深刻变革,系统梳理国内外研究方法的演化趋势,有助于把握学科发展方向、推动学科创新。本文优化现有研究方法分类体系,将研究方法分为主流型、新兴型、边缘型、衰退型四种类型。以1995—2024年国内外8本高质量期刊的论文为数据来源,利用SciBERT+TextCNN和GPT-4o模型完成研究方法分类和主题抽取,构建研究方法和主题数据集,从而分析国内外信息资源管理学科研究方法总体趋势及主题—方法关联的演变趋势。研究发现,信息资源管理学科研究方法演化呈现出技术驱动、多元协同、智能转型的发展趋势。一是研究方法加速向智能化和多元化转型,技术型新兴方法应用趋势上升并重塑学科范式;二是研究方法与主题适配性不断增强,多方法融合成为推动学科创新的重要驱动力;三是传统主流方法依然不可替代,新旧方法共存促进学科理论的连续性与多样性。国外研究方法应用更加多元化,主流方法数量更多,在新兴方法创新应用和多方法融合上占据领先地位,国内在近十年逐渐缩小与国外的差距。表7。图9。参考文献34。展开更多
文摘生成式人工智能正深刻变革教育,相关研究文献不断涌现。文章通过收集知网、Scopus和Web of Science中与研究主题相关的中英文文献,利用BERTopic主题建模技术对文献进行主题聚类,挖掘国内外高等教育中生成式人工智能的研究主题,分析研究现状,为教育领域的教学实践和学术研究提供参考。研究结果表明:在个性化学习与人机协同方面,生成式人工智能通过制定个性化学习路径显著提升教学效果;师生对生成式人工智能的接受程度受技术认知和使用体验等因素制约,并直接影响应用成效;教育创新需平衡技术赋能与过度依赖问题;教学设计与课程实践的革新更多体现在教学模式和资源生成方式上,但必须同步构建学术伦理防护与治理机制;人工智能时代亟须人才培养结构的优化升级,要求教育者重新定义核心能力目标。
基金funded by the National Social Science Youth Project “Study on the Interdisciplinary Subject Identification and Prediction” (Grant No.:14CTQ033)
文摘Purpose: Based on the weak tie theory, this paper proposes a series of connection indicators Acof weak tie subnets and weak tie nodes to detect research topics, recognize their connections, and understand their evolution.Design/methodology/approach: First, keywords are extracted from article titles and preprocessed. Second, high-frequency keywords are selected to generate weak tie co-occurrence networks. By removing the internal lines of clustered sub-topic networks, we focus on the analysis of weak tie subnets’ composition and functions and the weak tie nodes’ roles.Findings: The research topics’ clusters and themes changed yearly; the subnets clustered with technique-related and methodology-related topics have been the core, important subnets for years; while close subnets are highly independent, research topics are generally concentrated and most topics are application-related; the roles and functions of nodes and weak ties are diversified.Research limitations: The parameter values are somewhat inconsistent; the weak tie subnets and nodes are classified based on empirical observations, and the conclusions are not verified or compared to other methods.Practical implications: The research is valuable for detecting important research topics as well as their roles, interrelations, and evolution trends. Originality/value: To contribute to the strength of weak tie theory, the research translates weak and strong ties concepts to co-occurrence strength, and analyzes weak ties’ functions. Also, the research proposes a quantitative method to classify and measure the topics’ clusters and nodes.
基金an outcome of the project "Study on the Recognition Method of Innovative Evolving Trajectory based on Topic Correlation Analysis of Science and Technology" (No. 71704170) supported by National Natural Science Foundation of Chinathe project "Study on Regularity and Dynamics of Knowledge Diffusion among Scientific Disciplines" (No. 71704063) supported by National Natura Science Foundation of Chinathe Youth Innovation Promotion Association, CAS (Grant No. 2016159)
文摘Purpose: Formal concept analysis(FCA) and concept lattice theory(CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration.Design/methodology/approach: We introduced the theory and applications of FCA and CLT, and then proposed a method for interdisciplinary knowledge discovery based on CLT. As an example of empirical analysis, interdisciplinary research(IDR) topics in Information & Library Science(LIS) and Medical Informatics, and in LIS and Geography-Physical, were utilized as empirical fields. Subsequently, we carried out a comparative analysis with two other IDR topic recognition methods.Findings: The CLT approach is suitable for IDR topic identification and predictions.Research limitations: IDR topic recognition based on the CLT is not sensitive to the interdisciplinarity of topic terms, since the data can only reflect whether there is a relationship between the discipline and the topic terms. Moreover, the CLT cannot clearly represent a large amounts of concepts.Practical implications: A deeper understanding of the IDR topics was obtained as the structural and hierarchical relationships between them were identified, which can help to get more precise identification and prediction to IDR topics.Originality/value: IDR topics identification based on CLT have performed well and this theory has several advantages for identifying and predicting IDR topics. First, in a concept lattice, there is a partial order relation between interconnected nodes, and consequently, a complete concept lattice can present hierarchical properties. Second, clustering analysis of IDR topics based on concept lattices can yield clusters that highlight the essential knowledge features and help display the semantic relationship between different IDR topics. Furthermore, the Hasse diagram automatically displays all the IDR topics associated with the different disciplines, thus forming clusters of specific concepts and visually retaining and presenting the associations of IDR topics through multiple inheritance relationships between the concepts.
文摘The major research program,"Catalysis science for carbon-based energy conversion",from the national science foundation of China(NSFC)answers to the main strategic needs of China for the efficien use of carbon-based energy and targets to address the key scientifi issues involved in the catalytic interfaces.The research program aims to improve the catalytic activation of C–H and C–O bonds and the C–C coupling process,
基金The project is supported by the Research Project "95-001-04-04-02".
文摘In this article , the present state of cotton production in Xinjiang is introduced. The strong points and problems in cotton production are discussed in detail. In addition, cotton research advances are reviewed in a comprehensive manner. In consideration of all this, the authors expound some monographic topics and disciplinary projects regarding Xinjiang cotton research which are to be implemented in the years to come.
文摘How to select a research topic that is appropriate for a clinician and that can lead to a peer-reviewed publication?In this essay,I will provide 5 tips:keep it interesting,keep it relevant,keep it inclusive,keep it simple,and keep it trying.Keep it
文摘AI for Science推动了信息资源管理学科研究方法体系的深刻变革,系统梳理国内外研究方法的演化趋势,有助于把握学科发展方向、推动学科创新。本文优化现有研究方法分类体系,将研究方法分为主流型、新兴型、边缘型、衰退型四种类型。以1995—2024年国内外8本高质量期刊的论文为数据来源,利用SciBERT+TextCNN和GPT-4o模型完成研究方法分类和主题抽取,构建研究方法和主题数据集,从而分析国内外信息资源管理学科研究方法总体趋势及主题—方法关联的演变趋势。研究发现,信息资源管理学科研究方法演化呈现出技术驱动、多元协同、智能转型的发展趋势。一是研究方法加速向智能化和多元化转型,技术型新兴方法应用趋势上升并重塑学科范式;二是研究方法与主题适配性不断增强,多方法融合成为推动学科创新的重要驱动力;三是传统主流方法依然不可替代,新旧方法共存促进学科理论的连续性与多样性。国外研究方法应用更加多元化,主流方法数量更多,在新兴方法创新应用和多方法融合上占据领先地位,国内在近十年逐渐缩小与国外的差距。表7。图9。参考文献34。
