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1.
裘江南  杨畅  王婧贤 《科研管理》2006,40(12):94-104
随着Web2.0的发展,知识建构呈现出新的特征:用户不再是单纯的知识“接收者”,还是知识“创造者”,知识建构由单向的认知建构向双向的认知和社会协同建构转变。文章在分析了Web2.0环境特征的基础上,结合认知建构主义与社会建构主义理论,提出Web2.0环境下的认知系统和知识系统协同建构模型,揭示了其中的认知与社会的协同建构机理。文章阐述了其中知识内化与知识外化的双向建构过程,个体的认知系统是通过内部同化拓展认知结构,通过内部顺应学习改变其认知结构,进而通过外部同化和和外部顺应建构知识系统。其中认知冲突是刺激认知系统与知识系统向前演化的主要驱动力,能够促进内部顺应与外部顺应的发生;而交流与沟通则是两个系统间相互作用的中介,也是解决个体之间和群体之间冲突的手段。最后,以维基百科为例对模型进行了进一步的解释。  相似文献   

2.
Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological sensing techniques provide for the design of learning technologies. We conducted a lab study with 251 game sessions and 17 users focusing on skill development (i.e., user's ability to master complex tasks). We collected click-stream data, as well as eye-tracking, electroencephalography (EEG), video, and wristband data during the experiment. Our analysis shows that traditional click-stream models achieve 39% error rate in predicting learning performance (and 18% when we perform feature selection), while for fused multimodal the error drops up to 6%. Our work highlights the limitations of standalone click-stream models, and quantifies the expected benefits of using a variety of multimodal data coming from physiological sensing. Our findings help shape the future of learning technology research by pointing out the substantial benefits of physiological sensing.  相似文献   

3.
Despite widespread interest in individual life histories, few biographies of scientists make use of insights derived from psychology, another discipline that studies people, their thoughts, and their actions. This essay argues that recent theoretical work in psychology and tools developed for clinical psychological practice can help biographical historians of science create and present fuller portraits of their subjects' characters and temperaments and more nuanced analyses of how these traits helped shape their subjects' scientific work. To illustrate this thesis, the essay examines the early career of James McKeen Cattell--an influential late nineteenth- and early twentieth-century experimental psychologist--through a lens offered by psychology and argues that Cattell's actual laboratory practices derived from an "accommodation" to a long-standing "cognitive deficit." These practices in turn enabled Cattell to achieve more precise experimental results than could any of his contemporaries; and their students readily adopted them, along with their behavioral implications. The essay concludes that, in some ways, American psychology's early twentieth-century move toward a behavioral understanding of psychological phenomena can be traced to Cattell's personal cognitive deficit. It closes by reviewing several "remaining general questions" that this thesis suggests.  相似文献   

4.
5.
In this research, we investigated whether a learning process has unique information searching characteristics. The results of this research show that information searching is a learning process with unique searching characteristics specific to particular learning levels. In a laboratory experiment, we studied the searching characteristics of 72 participants engaged in 426 searching tasks. We classified the searching tasks according to Anderson and Krathwohl’s taxonomy of the cognitive learning domain. Research results indicate that applying and analyzing, the middle two of the six categories, generally take the most searching effort in terms of queries per session, topics searched per session, and total time searching. Interestingly, the lowest two learning categories, remembering and understanding, exhibit searching characteristics similar to the highest order learning categories of evaluating and creating. Our results suggest the view of Web searchers having simple information needs may be incorrect. Instead, we discovered that users applied simple searching expressions to support their higher-level information needs. It appears that searchers rely primarily on their internal knowledge for evaluating and creating information needs, using search primarily for fact checking and verification. Overall, results indicate that a learning theory may better describe the information searching process than more commonly used paradigms of decision making or problem solving. The learning style of the searcher does have some moderating effect on exhibited searching characteristics. The implication of this research is that rather than solely addressing a searcher’s expressed information need, searching systems can also address the underlying learning need of the user.  相似文献   

6.
Stereotyping is a technique used in many information systems to represent user groups and/or to generate initial individual user models. However, there has been a lack of evidence on the accuracy of their use in representing users. We propose a formal evaluation method to test the accuracy or homogeneity of the stereotypes that are based on users' explicit characteristics. Using the method, the results of an empirical testing on 11 common user stereotypes of information retrieval (IR) systems are reported. The participants' memberships in the stereotypes were predicted using discriminant analysis, based on their IR knowledge. The actual membership and the predicted membership of each stereotype were compared. The data show that “librarians/IR professionals” is an accurate stereotype in representing its members, while some others, such as “undergraduate students” and “social sciences/humanities” users, are not accurate stereotypes. The data also demonstrate that based on the user's IR knowledge a stereotype can be made more accurate or homogeneous. The results show the promise that our method can help better detect the differences among stereotype members, and help with better stereotype design and user modeling. We assume that accurate stereotypes have better performance in user modeling and thus the system performance.Limitations and future directions of the study are discussed.  相似文献   

7.
Awareness has been extensively studied in human computer interaction (HCI) and computer supported cooperative work (CSCW). The success of many collaborative systems hinges on effectively supporting awareness of different collaborators, their actions, and the process of creating shared work products. As digital libraries are increasingly becoming more than just repositories for information search and retrieval – essentially fostering collaboration among its community of users – awareness remains an unexplored research area in this domain. We are investigating awareness mechanisms in CiteSeer, a scholarly digital library for the computer and information science domain. CiteSeer users can be notified of new publication events (e.g., publication of a paper that cites one of their papers) using feeds as notification systems. We present three cumulative user studies – requirements elicitation, prototype evaluation, and naturalistic study – in the context of supporting CiteSeer feeds. Our results indicate that users prefer feeds that place target items in query-relevant contexts, and that preferred context varies with type of publication event. We found that users integrated feeds as part of their broader, everyday activities and used them as planning tools to collaborate with others.  相似文献   

8.
As a significant source of knowledge, virtual communities have stimulated interest in knowledge management research. Nonetheless, very few studies to date have examined the demand-side knowledge perspective such as knowledge acquisition in virtual communities. In order to explore the knowledge acquisition process within virtual communities, this study proposes the cognitive selection framework of knowledge acquisition strategy in virtual communities. The proposed framework takes a cognitive perspective, to identify how knowledge recipients select their strategy for acquiring specialized knowledge, emphasizing their cognitive goals (e.g., cognitive replication and innovation) and cognitive motivators (e.g., virtual community self-efficacy, heightened enjoyment, and time resources). Our results suggest that knowledge recipients’ cognitive motivators differentially influence their cognitive goals (cognitive replication and innovation), which, in turn, are related to their selection of knowledge acquisition strategy (static and dynamic acquisition strategy), respectively.  相似文献   

9.
Although there is an increasingly number of research about the design and use of conversational agents, it is still difficult for conversational agents to completely replace human service. Therefore, more and more companies have adopted human-AI collaborative systems to deliver customer service. It is important to understand how people obtain information from human-AI collaborative conversations. While the existing work relies on self-reported methods to elicit qualitative feedback from users, we have concluded a categorization system for user messages in human-AI collaborative conversations after a thorough examination of a real-world customer service log, which could objectively reflect the user's information needs. We categorize user messages into five categories and 15 specific types related to three high-level intentions. Two annotators independently classified the same set of 1,478 user messages from 300 conversations and reached a moderate consistency. We summarize and report the characteristics of different message types and compare their usage in sessions with only human, AI, or both representatives. Our results show that different message types vary significantly in usage frequency, length, and text similarities with other messages in a session. Also, the frequency of using different message types in our dataset seems consistent over sessions with different types of representatives. But we also observed some significant differences in a few specific message types across the sessions with different representatives. Our results are used to suggest some areas for improvement and future work in human-AI collaborative conversational systems.  相似文献   

10.
This paper examines the role of group-based work as a knowledge sharing mechanism in fostering organisational learning. Relying on insights from communication research, the paper develops a set of propositions highlighting the role of communication forms in mediating the effect of group-based work on knowledge sharing. Our view on group-based work is grounded in the philosophical perspective on organisational learning as occurring through interaction. This perspective emphasises the role of communication as the foundational basis for knowledge sharing and learning. Group-based work structures communication and creates conditions for sharing knowledge among organisational members. Drawing on cultural psychology research that reveals that people from different cultures have different cognitive styles and, thus, process and interpret information differently, the paper proposes a link between cognitive styles and preferences for different communication forms. It suggests that effectiveness of knowledge sharing in group-based work depends on whether the latter supports culturally preferred communication forms.  相似文献   

11.
Personalization can be addressed by adaptability and adaptivity, which have different advantages and disadvantages. This study investigates how digital library (DL) users react to these two techniques. More specifically, we develop a personalized DL to suit the needs of different cognitive styles based on the findings of our previous work [Frias-Martinez, E., Chen, S. Y., & Liu, X. (2008) Investigation of behavior and perception of digital library users: A cognitive style perspective. International Journal of Information Management]. The personalized DL includes two versions: adaptive version and adaptable version. The results showed that users not only performed better in the adaptive version, but also they perceived more positively to the adaptive version. In addition, cognitive styles have great effects on users’ responses to adaptability and adaptivity. These results provide guidance for designers to select suitable techniques to develop personalized DLs.  相似文献   

12.
Since the mid-1950s, John McCarthy has made seminal contributions to a remarkably diverse range of important areas in computer science. In this report, we examine several of these contributions: As one of the fathers of artificial intelligence, he originated the logic-based paradigm of artificial intelligence (AI) research, arguably both the most productive approach to AI problems to date and the most promising for the future. He invented the time shared use of computer systems for the interactive development of software, a technique that allowed a single computer of large capacity to appear to a large number of simultaneous users as if that machine were theirs alone. He invented the LISP programming language, creating a program language design for the first time that was based on mathematical foundations rather than a partial abstraction away from the underlying computer hardware. The practical impact of his work has been enormous. Functional programming languages, of which LISP was the first, remain widely used, and the programming language constructs he invented remain the basis of modern programming control structures. The notion of time sharing, which he invented, remains a principle paradigm for the use of large computers even today. McCarthy's use of logic was among the primary intellectual sources of logic programming and automated theorem proving, and of many of their important applications.  相似文献   

13.
John R. Anderson is an international leader in the computational representation and simulation of human cognition. He is credited as having developed the first “cognitive architecture”—a computational framework for specifying both the abilities and limitations of human behavior. Anderson has also made fundamental contributions in applying cognitive architectures to practical problems, most notably in the development of intelligent tutoring systems: computer-based tutors that continually infer the cognitive state of the student, striving to determine what the student knows and does not know, and targeting further instruction accordingly. For these achievements, Anderson was awarded the 2011 Benjamin Franklin Medal in Computer and Cognitive Science.  相似文献   

14.
The social question and answer (Q&A) community provides people with an effective tool to obtain high-quality information. From the perspective of reciprocal determinism and value co-creation, this study aims to investigate the formation mechanism of high-quality knowledge in the community. We develop a model to investigate how cognitive factors and community technological factors influence users’ knowledge co-creation behavior, thereby influencing knowledge quality in the community. A survey of 382 knowledge contributors in a social Q&A community shows that knowledge self-efficacy, topic richness, personalized recommendation, and social interactivity have a positive impact on users' knowledge sharing and integration behavior, which subsequently affect the community’s knowledge quality. Moreover, users' ratings moderate the influence of knowledge sharing on knowledge quality. This research demonstrates the synergistic effect of people and technology in knowledge co-creation, thus advances literature about value co-creation and content quality in online communities.  相似文献   

15.
In the United Kingdom, information and communication technologies are being used to e-enable multiagency community services for children. Public policy advocates that practitioners as well as users should be involved in the shaping of services including the information systems used in their delivery. This article discusses how a group of social and computer scientists developed the social formation methodology to facilitate nonexpert community participation in the design of e-enabled community care services. The longitudinal study adapts qualitative methods to understand community welfare and to foster participation in the design of communication systems. By exploring the perspectives of welfare practitioners and families, the importance of situated and mediated conversations in community care is identified. The facilitative conversation approach of the study then brings these community perspectives, as well as ICT perspectives, into design processes of e-enabled services.  相似文献   

16.
In the United Kingdom, information and communication technologies are being used to e-enable multiagency community services for children. Public policy advocates that practitioners as well as users should be involved in the shaping of services including the information systems used in their delivery. This article discusses how a group of social and computer scientists developed the social formation methodology to facilitate nonexpert community participation in the design of e-enabled community care services. The longitudinal study adapts qualitative methods to understand community welfare and to foster participation in the design of communication systems. By exploring the perspectives of welfare practitioners and families, the importance of situated and mediated conversations in community care is identified. The facilitative conversation approach of the study then brings these community perspectives, as well as ICT perspectives, into design processes of e-enabled services.  相似文献   

17.
如何防治木马病毒对注册表计算机病毒的入侵   总被引:1,自引:0,他引:1  
随着计算机和网络技术的迅猛发展和广泛应用,人们充分享受到了互联网给其工作和生活带来的巨大便利,人类社会对计算机系统和信息网络的依赖性也越来越大。然而据报道,世界各国遭受计算机病毒感染和攻击的事件数以亿计,严重地干扰了正常的人类社会生活,给计算机网络和系统带来了巨大的潜在威胁和破坏,将恶意代码写入注册表,是计算机病毒对计算机系统造成破坏和危害的常用方式。通过监控和修改注册表,可以达到防御和清除计算机病毒,保护计算机系统安全的目的。  相似文献   

18.
Depression is one of the most common mental health problems worldwide. The diagnosis of depression is usually done by clinicians based on mental status questionnaires and patient's self-reporting. Not only do these methods highly depend on the current mood of the patient, but also people who experience mental illness are often reluctantly seeking help. Social networks have become a popular platform for people to express their feelings and thoughts with friends and family. With the substantial amount of data in social networks, there is an opportunity to try designing novel frameworks to identify those at risk of depression. Moreover, such frameworks can provide clinicians and hospitals with deeper insights about depressive behavioral patterns, thereby improving diagnostic process. In this paper, we propose a big data analytics framework to detect depression for users of social networks. In addition to syntactic and syntax features, it focuses on pragmatic features toward modeling the intention of users. User intention represents the true motivation behind social network behaviors. Moreover, since the behaviors of user's friends in the network are believed to have an influence on the user, the framework also models the influence of friends on the user's mental states. We evaluate the performance of the proposed framework on a massive real dataset obtained from Facebook and show that the framework outperforms existing methods for diagnosing user-level depression in social networks.  相似文献   

19.
Paylor S 《Endeavour》2005,29(2):66-71
By the late-19th century, evolutionary theory, known by most people as Darwinism, had earned a reputation as an atheistic theory that challenged religious orthodoxy. From recent historical work we now know a great deal about how those with religious convictions received Darwinian ideas, and the role that professional scientists played in styling and communicating 'Darwinism' to the wider public and between themselves. However, relatively little is known about how Darwinian ideas were received and used by avowedly irreligious groups, and how these groups set about communicating their own version of Darwinism to a public hungry for cheap and accessible science. The activities of the Secularist Edward Bibbins Aveling, a prolific popularizer of Darwinian ideas in the late-19th century, offer a unique insight into this relatively uncharted territory. His work helped to develop the polemic of popular irreligious groups and imbue Darwinism with overtly atheistic connotations; it also engendered unprecedented support for atheism from the general public, and challenged the monopoly that some professional scientists enjoyed over imparting serious scientific knowledge to them.  相似文献   

20.
This article presents a framework model that defines knowledge building as a co-evolution of cognitive and social systems. Our model brings together Nonaka's knowledge-creating theory and Luhmann's systems theory. It is demonstrated how collaborative knowledge building may occur – in an ideal situation – within an organisation, when people interact with each other using shared digital artefacts. For this purpose, three different technologies are introduced as examples: social-tagging systems, pattern-based task-management systems, and wikis. These examples have been chosen to demonstrate that knowledge building can occur with respect to both declarative and procedural knowledge. The differences and similarities between these technologies, as far as their potential for organisational knowledge building is concerned, are discussed in the light of the framework model.  相似文献   

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