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When relational and epistemological uncertainty act as driving forces in collaborative knowledge creation processes among university students

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Abstract

The aim of this paper is to analyze relational uncertainty (i.e., the subjective feeling of being unsure with regard to social interactions) and epistemological uncertainty (i.e., the subjective feeling of being unsure about the content, process or outcome of a task) as well as their interrelations and development over time in collaborative learning processes. To pursue that aim, we examined students’ diary entries that were made during a university course on knowledge creation, innovation, and philosophy of science. The sample consisted of N = 30 university student participants grouped into six teams who were asked to collaboratively create novel knowledge, and, ultimately, a prototype. Data was complemented by instructors’ observations and students’ ratings of the prototype and analyzed using a grounded theory approach (Charmaz, 2006). Our findings reveal that relational uncertainty is predominantly salient at the beginning of the knowledge creation process, and that overcoming it unleashes a motivating function. Experiencing the overcoming of relational uncertainty enables deeper engagement in epistemological uncertainty, which turned out to have a positive impact on the outcome of the knowledge creation process. Both forms, relational and epistemological uncertainty, are relevant for the knowledge creation process and act as driving forces in collaborative knowledge creation situations. Therefore, triggering uncertainty should be used in a well-directed manner to foster learning in higher education. However, when relational uncertainty is not properly managed at the beginning of the process, the positive effect of epistemological uncertainty does not arise.

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... This study explores productive tactics that can be used to manage students' epistemic uncertainty as a pedagogical resource to develop conceptual understanding. Epistemic uncertainty refers to students' subjective awareness of their incomplete abilities to explain a phenomenon, interpret and present raw data as evidence, and understand what counts as scientific argument (Chen & Qiao, 2020;Hartner-Tiefenthaler et al., 2018;Tiberghien et al., 2014). ...
... Sources may differ with type of uncertainty, and several types have been identified in learning science, such as relational (i.e., interactional challenge or lack of confidence with interpersonal relationships), ontological (i.e., doubt or lack of confidence with regard to disciplinary knowledge toward discussed topics), and epistemic (i.e., doubt or lack of confidence or knowledge about how to explain a phenomenon). Because this study focuses on knowledge generation rather than knowledge replication, we focus on and define epistemic uncertainty as: student subjective awareness of their incomplete skills or abilities for how to explain a phenomenon, to sort through data to produce trends, to interpret and represent raw data as evidence, and to generate potential solutions to solve problems (Chen & Qiao, 2020;Hartner-Tiefenthaler et al., 2018). ...
... Pedagogical implementations are also discussed. Our analysis resonates with recent studies that support the role of uncertainty in students' learning in science (e.g., Hartner-Tiefenthaler et al., 2018;Kirch, 2010;Manz & Su arez, 2018;Phillips et al., 2018;Sezen-Barrie et al., 2020;Tiberghien et al., 2014). ...
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Science teachers usually view students' uncertainty as a barrier to overcome, a negative experience to be avoided, a deficiency in need of remedy. Building on the theory of deep learning in science as a generative and sensemaking process, the purpose of this design‐based study is to identify tactics for teachers to manage their students' epistemic uncertainty as a pedagogical resource to develop student conceptual understanding during whole‐class discussion. Classroom observations of whole‐class discussion were collected from six teachers' classes ranging from third to eighth grade. A total of 18 whole‐class discussions were collected, transcribed, and analyzed. A storyline talk to manage uncertainty during whole‐class discussion was developed and consisted of three stages: (1) Raise epistemic uncertainty through creating ambiguous conditions; (2) Maintain epistemic uncertainty through preventing immature disclosure and discussing alternative explanations or conflicting ideas; and (3) Reduce epistemic uncertainty through making coherent connections among current uncertainty, prior knowledge, and familiar phenomena. Seven nuanced tactics used by teachers to achieve each stage of uncertainty management were identified. The results suggest that managing uncertainty goes beyond asking questions and problematizing phenomena. When engaging students in storyline‐based whole‐class discussion, teachers should focus on one specific uncertainty and establish a coherent, consistent storyline that raises, maintains, and reduces student uncertainty to horizontally and vertically construct a collective knowledge among students. The horizontal nature occurs within a stage of management, and the vertical nature of a storyline talk is related to moving along from stage to stage. Through the storyline talk focusing on students' epistemic uncertainty, students can truly become agents in the learning process when the lesson is centered on and driven by students' uncertainty.
... Considering that this study focuses on managing uncertainty to develop knowledge, we examine in particular epistemic uncertainty (e.g. learners' subjective awareness and knowing of incomplete skills or abilities about how to explain a phenomenon, derive trends from muddled data, interpret and represent raw data as evidence, and put forth scientific arguments) (Hartner-Tiefenthaler et al., 2018) and view this as a pedagogical resource to foster students' learning in science. ...
... Several researchers have argued that uncertainty is a common and necessary experience to engender learning (e.g. Hartner-Tiefenthaler et al., 2018;Phillips, 2019;Tiberghien et al., 2014) because uncertainty creates a state of 'disequilibrium' (Piaget, 1972) in which students encounter conflicts or dissonance between their understanding and a differing explanation. The experience of uncertainty thus generates 'resistance' (Manz, 2015b), 'struggle' (Warshauer, 2015), 'impasse' (VanLehn et al., 2003), or a feeling of 'failure' (Kapur, 2016) that pushes students to reevaluate their existing knowledge and generate solutions to resolve the uncertainty. ...
... Epistemic uncertainty in argumentation refers especially to learners' subjective awareness and knowing of incomplete skills or abilities about how to explain a phenomenon, how to sort muddled data to produce trends, how to interpret and represent raw data as evidence, and what counts as scientific argument (Hartner-Tiefenthaler et al., 2018). Epistemic uncertainty goes beyond content uncertainty per se; that is, epistemic uncertainty focuses on the degree of students' confidence or ability to know how to generate knowledge, but content uncertainty focuses on the degree to what portion of students' present knowledge is aligned to the discussed content. ...
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This longitudinal case study explores how students' epistemic uncertainty in argumentation can be adapted as a resource to develop knowledge in a fifth-grade classroom. Major data sources include 12 videotaped whole-class discussions focused on group presentation of arguments to obtain peers' critiques across two course units, the ecosystem and the human body systems, over a 16-week period. Grounded in a qualitative, interpretative approach, the results show that when students' epistemic uncertainty was leveraged as a resource, students were able to construct a more coherent and consistent knowledge system by integrating their prior and target scientific knowledge. We argue that to effectively use students' epistemic uncertainty as a pedagogical resource in managing uncertainty, teachers need to consider the status of students' knowledge of the target concept, if they are aware of uncertainty, and how uncertainty is resolved through critique that leads to knowledge construction. As students had opportunities to practice managing uncertainty, they developed skills necessary to attend to each other's utterances and use them as collaborative epistemic resources to develop, with their peers, acceptable knowledge. Conceptualising argumentation as an enterprise to manage uncertainty can help instructors to design a productive and authentic environment to facilitate the learning of science. ARTICLE HISTORY
... The most important phases of the innovation process are described below. Further details can be found in Peschl et al. (2014) and Hartner-Tiefenthaler et al. (2018). ...
... This curriculum was accompanied by a multi-year research project by using mostly triangulation of qualitative and quantitative methods, focusing primarily on qualitative approaches to describe how new knowledge emerges in a future-driven manner (see Peschl et al., 2014Peschl et al., , 2019Hartner-Tiefenthaler et al., 2018). In the instance evaluated in the research project, a total of 30 students participated, including both PhD and Master's students. ...
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Recent publications in the field of KM emphasize the importance of topics such as Spirituality (e.g. Bratianu, 2017; Kaiser, 2023; Rocha & Pinheiro, 2021), Phronesis (practical wisdom) (Kragulj, 2022; Nonaka & Takeuchi, 2019; Rocha et al., 2022; Serenko, 2024), Organizational Purpose (Kerschbaum, 2022), dealing with future potentials and future-oriented innovation (Peschl, 2018, 2020) and Responsible KM (Durst, 2021) as future avenues for KM research. However, it seems that these topics have not yet entirely found their way into practice, or, although the phenomena described are inherently present in organizations, they do not receive much attention from practitioners these days. With this paper we seek to initiate discussion on how to deploy research results on topics like Spirituality, Practical Wisdom, non-rational Knowledge, future-oriented knowledge work, and Organizational Purpose into applied contexts. We argue that an essential step is to adequately train students at universities with the new content. Todays students are the leaders, entrepreneurs, and managers of tomorrow. Therefore, we present selected educational concepts that help students build competencies in understanding and applying non-rational forms of knowledge. The intention of these newly designed teaching concepts is to move our field of research out of the metaphoric ivory tower towards the application in organizations. We argue that this is a necessary step for the development of the field of KM, enabling our research to remain relevant in modern-day business and organizational environments.
... Beyond content knowledge, it is considered critically important that the students understand discipline-based epistemic frameworks, so that the school science is situated in the context of scientific knowledge generation (Duschl, 2008;Hammer & Elby, 2003). Accordingly, science education researchers have focused on epistemic uncertainty as a resource for understanding science as a process (e.g., Chen & Qiao, 2020;Hartner-Tiefenthaler et al., 2018;Lee et al., 2014;Tiberghien et al., 2014). Studies have shown that identifying, maintaining, and eventually reducing uncertainty during the scientific practices of argumentation (Chen et al., 2019) or modeling (Chen, 2021) support students in understanding science in more sophisticated and coherent ways. ...
... This study illustrates the ways to manage epistemic uncertainty during inquiry that approximates scientific research in a sense the aim is to produce new knowledge of the world, and no one has ready answers at hand. Whereas the present findings do not indicate if or how these experiences of doing science led to increased conceptual understanding, the previous studies have shown how management of epistemic uncertainty also support conceptual learning (e.g., Chen & Techawitthayachinda, 2021;Hartner-Tiefenthaler et al., 2018;Watkins et al., 2018). This study showed that the responses allowed continuing with the inquiry and reaching the goal of engaging in doing science. ...
Article
Uncertainty is endemic to scientific research practices; therefore, it is also an important element in learning about science. Studies have shown that experiences and management of uncertainty regarding the epistemic practices of science can support learning. Whereas the common strategies of supporting students in handling uncertainty rely on the teacher knowing the preferred outcomes and answers, few studies have explored settings in which no one can give the right answers to students. In this study, we explore how Finnish, suburban secondary school students (aged 13–14 years) respond to epistemic uncertainty during an ecological citizen science inquiry, in which the aim is to produce novel scientific knowledge. Drawing from qualitative interaction analysis of video and interview data, we articulate three responses to uncertainty that arise when students try to make optimal choices during the inquiry: they (a) envision alternative narrative scenarios and hypothesis; (b) accept and maintain it as part of their argumentation practices, and (c) flexibly reframe their research activities and goals. The findings indicate that the citizen science setting can allow students to reframe epistemic uncertainty in ways that are typical of scientific practices even without deliberate scaffolding by the teacher. We suggest that incorporating experiences of uncertainty that are shared by students and teachers in pedagogical design can support doing and learning science in different settings.
... In disciplinary learning, researchers have identified different types of uncertainty based on the goals of their research (e.g., Chen, 2021;Gouvea & Wagh, 2018;Hartner-Tiefenthaler et al., 2018;Jordan & McDaniel Jr, 2014;Zaslavsky, 2005). Because this study focuses on how students develop knowledge through modeling and considers modeling as an epistemic practice (Campbell & Oh, 2015;Ke & Schwarz, 2021;Windschitl et al., 2008), I focus on epistemic uncertainty within the framework of modeling. ...
... 2.5 | Epistemic knowledge: The source of epistemic uncertainty By considering modeling as epistemic practice (Campbell & Oh, 2015;Ke & Schwarz, 2021;Shim & Kim, 2018;Windschitl et al., 2008), this study focuses on desirable epistemic uncertainty. Epistemic uncertainty refers to students' subjective awareness and experience of being | unsure or doubting how to explain a phenomenon, how to construct a model to explain a system, how to find patterns from raw data, how to interpret and represent evidence to support a claim, or how to know what counts as an acceptable scientific model (Chen & Qiao, 2020;Hartner-Tiefenthaler et al., 2018). In other words, epistemic uncertainty may result from students struggle with or not feeling confident in their epistemic knowledge. ...
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There is a considerable amount of research on the nature and effectiveness of modeling as applied to student learning in science. However, few studies have examined the role of students' epistemic uncertainty in modeling and how teachers collaborate with students to recognize and utilize it as a pedagogical resource to support productive struggle for the co‐development of scientific knowledge. This single case study focuses on how one fifth‐grade teacher and her students used epistemic uncertainty as a resource to engage in modeling as they co‐developed knowledge through building, revising, and finalizing models. Data were collected 16 lessons across 4 weeks when students learned the role of the respiratory system in the breathing process. Multiple strategies to manage students' epistemic uncertainty for productive struggle were identified across four phases of modeling. Phase 1, Problematizing a phenomenon: using student epistemic uncertainty to contextualize and format a problem, Phase 2, Material practice: recognizing and supporting student epistemic uncertainty that may cause struggle, failure, and opportunity for rebuilding a model, Phase 3, Argumentative practice: critiquing and decomposing student epistemic uncertainty to find possible solutions, and Phase 4, Conceptualizing theory and application of final models: having students use different representations of their final models to theoretically explain the target phenomenon. By providing an empirical account of the evolution of students' knowledge co‐development, this study suggests that productive modeling should encompass the variation of student epistemic uncertainties as an effective resource to cumulatively engage students through the different phases of modeling in the productive struggle to sense‐make and develop a coherent understanding of scientific knowledge and practice. As such, students have opportunities to reflect on and generate their own knowledge in the sensemaking process, rather than just replicate knowledge from textbooks or authorities.
... The unfamiliar way to communicate online made them feel insecure: 7:13 1 The group process is still very difficult for me because the hurdle of communicating online is a very big one for me, I'm not a big user of social media or used to looking into the screen for a long time and talking to others. […] 2 Our previous research showed that certain forms of uncertainty can act as a driving force for innovation (Hartner-Tiefenthaler, Rötzer, Bottaro & Peschl, 2018). However, our current data (collected in the context of the COVID-19 pandemic) indicates that this does not apply to any uncertainty in the online setting. ...
... This requires equally distributed communication power and some kind of effort establishing the right culture/spirit. We know from previous research 2019;Hartner-Tiefenthaler et al., 2018) that flat hierarchies and an informal, more personal communication culture helps to build trust, which is a prerequisite for innovation. In our seminars and workshops we establish this kind of psychological safe space by nurturing and playful interventions, e.g., providing food and dancing with the students, and by actively lowering our status, e.g., by joking around or sit-ting on the floor. ...
... The emphasis is on the learning process in which the application of the subject matter is prioritized. Among STEM students this type of epistemic uncertainty can be quite difficult, as traditional engineering education often suggests there is one correct answer or decision-making process [29,30]. In this way, the classroom benefited from being multi-disciplinary and having a large diversity of life experiences. ...
... Menschen sind prinzipiell darin bestrebt, Unsicherheit zu reduzieren (Festinger, 1954). Daher versuchen sie, durch das Einholen von zusätzlichen Informationen Vorhersagbarkeiten zu generieren (Berger & Calabrese, 1975;Hartner-Tiefenthaler et al., 2018 Kommunikationsformen wie regelmäßige Jour fixes und Newsletter halfen, den Informationsfluss transparenter zu gestalten. Sie wurden auch dort etabliert, wo es sie bis vor der Pandemie kaum gegeben hatte. ...
... Al-Omoush, Palacios-Marqués, and Ulrich 2022). This finding confirms prior expectations that collaborative inter-organisational knowledge creation is supported by the existence of trust, strong alliances, interactions, and mutual support among parties in the exchange relationship (Coggan et al. 2021;Roetzer, Bottaro, and Peschl 2018;Tu 2020). Strengthening social capital in networks improves transparency and collaborative work (Wulandhari et al. 2022), so understanding how to channel social capital into creating mutual knowledge is key to ensuring that the network resource is used to obtain a mutual advantage. ...
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Extant studies have shown that despite the seemingly beneficial outcomes of social capital, its impact on buyer-supplier relationships could sometimes be detrimental. This study contributes to a scholarly understanding of the mechanism via which the positive outcome of social capital in realised in buyer-supplier relationships. Drawing on the knowledge-based view of the firm, we theorise and provide empirical support for our thesis that joint knowledge creation acts as a conduit through which social capital enhances relationship performance. We used survey data from 113 construction firms in Ghana to test our propositions using the partial least squares structural equations modelling algorithm. Our findings show that social capital, in all its three dimensions contributes to joint knowledge creation in buyer-supplier relationships. Additionally, the relationship between social capital and relationship performance is mediated by joint knowledge creation. The theoretical and practical implications of these findings are discussed in the paper.
... Paradoxically, attempting to reduce uncertainty can engender other kinds of uncertainty that are necessary for knowledge creation (Hartner-Tiefenthaler et al., 2018), hence the creator must weather the storm. For example, an individual may overcome relational uncertainty (about social interactions) at the beginning of the creative process only to unleash epistemological uncertainty (about the content, process or outcome of the task); yet by engaging with epistemological uncertainty he/she may ultimately create new knowledge (Hartner-Tiefenthaler and colleagues, 2018), which is therefore to be encouraged. ...
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Leaders and their employees must navigate competing yet interrelated demands and processes when developing and implementing creative ideas. They have to engage in divergent and convergent thinking, challenge existing assumptions and accept them, plan and persist while remaining spontaneous and adaptive. We explore how, why, and when adopting a paradox approach to navigating such tensions enhances creativity and innovation. Rather than seeking to eliminate the discomfort associated with tensions by prioritizing one demand or process over the other, the paradox approach sees tensions as an opportunity for growth and learning. When adopting a paradox approach, people feel comfortable with the discomfort as tensions arise, and recognize that by engaging in one process they enable the seemingly opposing process. We review research on paradoxical frames, mindset, and leadership, and offer a comprehensive theoretical model that delineates the related cognitive, affective, motivational, and social pathways, as well as contextual and cultural boundary conditions. We conclude by identifying promising future directions for research.
... By contrast, her students have the opportunity to challenge the uncertainty. Student uncertainty has been in the focus of academic attention, see, e.g., (Jordan, 2015;Hartner-Tiefenthaler Roetzer, Bottaro & Peschl, 2018), for it inhibits the incentive to learn and to study. The teacher emphasizes the role of her colleague by using the emphatic I can't tell you how two times. ...
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The paper focuses on the corpus-based analysis of academic discourse values. The research aim is to reveal how teachers transmit academic discourse values through their everyday interactions with students (during lectures, seminars) and to reveal, which values are relevant for the students (based on the analysis of their essays, research papers and some such). The research relies on corpus-based approach and primary methods used are a semantic analysis and a context analysis as well as definition analysis of evaluative means. The research results have revealed that various values play important role in academic interactions and shape the image of the academe – on the local as well as on the global scale. The study of the contexts containing the word valuable in British National Corpus (Davis, 2008-), British Academic Spoken English (Nesi, & Thompson, 2000-), British Academic Written English (Nesi, 2008-), Corpus of Russian Student Texts (Rakhilina, Zevakhina, & Dzhakupova, 2013-) and Michigan Corpus of Academic Spoken English (2002-) has revealed that the values of academic discourse can be subdivided into six domains: emotional, cognitive, educational, research-related, academic life-related, topic- / area-related. The further applicability of research findings manifests itself in various avenues of research: linguistics (evaluative means), axiology (cross-disciplinary study of values), teaching practices (academic discourse genres) and others.
... In most cases, this introduces a state of (organizational and personal) instability, leading sometimes to resistance. Apart from the anxiety that is induced when being in a state of instability or being confronted with uncertainty in general (Hartner-Tiefenthaler et al., 2018), this resistance has its roots in not being able to deal with not knowing and understanding where the unlearning process might lead to. This applies especially in the context of a "forgetting-like" unlearning process (Becker, 2018, p. 108) or, more importantly, in processes of deep unlearning. ...
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... Although the promises and key elements of cocreation practices are progressively documented (Beckett, Farr, Kothari, Wye, & le May, 2018), there is a need for more of an empirical understanding of informational processes facilitating knowledge emergence in those environments. Interestingly, recent research suggests that introducing uncertainty can foster knowledge emergence in co-creation practices (Hartner-Tiefenthaler, Roetzer, Bottaro, & Peschl, 2018;Wiltschnig, Christensen, & Ball, 2013). ...
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This poster presents results from an ongoing exploratory research study, which uses a participant observation methodology to investigate the productive uses of uncertainty in fostering knowledge emergence. Recent research suggests that introducing uncertainty can be a productive resource to facilitate the emergence of knowledge in co‐creation practices. While recognizing productive traits to uncertainty is not new in information science, how uncertainty can be deliberately introduced, as a productive resource, remains generally unnoticed. This study extends previous research in this area by further detailing the use of uncertainty and by constituting a foray into investigating information practices in collective knowledge creation environments. Findings suggest that introducing uncertainty aims at inducing a state of unknowability to erode certainty, disrupt entrained thinking and processual constraints, and decompartmentalize disciplinary boundaries that inhibit knowledge emergence. The experiences of relational engagement, joint advantage and mutual transformation arose as conditions conducive to using uncertainty for knowledge emergence.
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Jordan, M. E. (2010). Collaborative robotics design projects: Managing uncertainty in multimodal literacy practice. Yearbook of the National Reading Conference, 59, 260-275.
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Growing up Constructivist - Languages and Thoughtful People Unpopular Philosophical Ideas - A History in Quotations Piaget's Constructivist Theory of Knowing The Construction of Concepts Reflection and Abstraction Constructing Agents - The Self and Others On Language, Meaning and Communication The Cybernetic Connection Units, Plurality, and Number To Encourage Students' Conceptual Constructing.
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Social identity theory is an interactionist social psychological theory of the role of self-conception and associated cognitive processes and social beliefs in group processes and intergroup relations. Originally introduced in the 1970s primarily as an account of intergroup relations, it was significantly developed at the start of the 1980s as a general account of group processes and the nature of the social group. Since then, social identity theory has been significantly extended through a range of sub-theories that focus on social influence and group norms, leadership within and between groups, self-enhancement and uncertainty reduction motivations, deindividuation and collective behavior, social mobilization and protest, and marginalization and deviance within groups. The theory has also been applied and developed to explain organizational phenomena and the dynamics of language and speech style as identity symbols. Chapter 1 provides a relatively comprehensive and accessible overview of social identity theory, with an emphasis on its analysis of intergroup conflict.
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This paper reports the development and psychometric validation of a multi-dimensional measure of facet-specific climate for innovation within groups at work: the Team Climate Inventory (TCI). Brief reviews of the organizational climate and work group innovation literatures are presented initially, and the need for measures of facet-specific climate at the level of the proximal work group asserted. The four-factor theory of facet-specific climate for innovation, which was derived from these reviews, is described, and the procedures used to operationalize this model into the original version measure described. Data attesting to underlying factor structure, internal homogeneity, predictive validity and factor replicability across groups of the summarized measure are presented. An initial sample of 155 individuals from 27 hospital management teams provided data for the exploratory factor analysis of this measure. Responses from 121 further groups in four occupations (35 primary health care teams, 42 social services teams, 20 psychiatric teams and 24 oil company teams; total N = 971) were used to apply confirmatory factor analysis techniques. This five-factor, 38-item summarized version demonstrates robust psychometric properties, with acceptable levels of reliability and validity. Potential applications of this measure are described and the implication of these findings for the measurement of proximal work group climate are discussed.
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Context • Radical constructivism (RC) is seen as a fruitful way to teach innovation, as Ernst Von Glasersfeld's concepts of knowing, learning, and teaching provide an epistemological framework fostering processes of generating an autonomous conceptual understanding. Problem • Classical educational approaches do not meet the requirements for teaching and learning innovation because they mostly aim at students' competent performance, not at students' understanding and developing their creative capabilities. Method • Analysis of theoretical principles from the constructivist framework and how they can be used as a foundation for designing a course in the field of innovation. The empirical results are based on qualitative journal entries that were coded and categorized according to Charmaz's grounded theory approach. Results • It is shown that there is a close relationship between learning and innovation processes. The proposed investigated course design based on RC incorporates the following concepts: the course setting is understood as a framework to guide understanding; students work in teams and are subjective constructors of their own knowledge; instructors take on the role of coaches, guiding students through an innovation process as cocreators. Such a framework facilitates dynamic processes of assimilation and accommodation, as well as perturbation through the "other," which potentially lead to novel, and viable, conceptual structures crucial for sustainable innovation. Constructivist Content • The paper argues in favor of RC principles in the context of teaching and learning. The proposed course setting is oriented at Von Glasersfeld's understanding of knowing, learning, and teaching (vs. training). It outlines theoretical and practical aspects of these principles in the context of a course design for innovation. Furthermore, it shows the importance of Von Glasersfeld's concept of intersubjectivity for processes of accommodation and the generation of (novel) autonomous conceptual structures. The interplay between creating coherence, perturbation, and irritation through interacting with the "other" (in the form of co-students and instructors) is assumed to be vital for such processes, as it leads to the creation of not only novel but also viable conceptual structures, therefore re-establishing a relative equilibrium critical for sustainable innovation.
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Despite the great interest in Hofstede’s dimensions of national culture, some of them have not been replicated with nationally representative samples. In this study, we use 2010 European Social Survey data for 25 European countries and Israel and obtain a close replication of Hofstede’s uncertainty avoidance (r = 0.81, p < 0.001, n = 17) with strong face validity, internal reliability, and similar predictive properties to those of the original measure. The replication and our analysis elucidate the nature of uncertainty avoidance as a dimension of national culture and expose some misconceptions about it.
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This paper is about designing spaces enabling processes of collaborative knowledge creation and innovation. It is a theoretical paper on the role of artifacts as enablers for creating new knowledge. We refer to these artifacts as Enabling Spaces comprising an architectural, technological (ICT), social, cognitive, organizational, cultural, as well as emotional dimension. The claim of this paper is that innovation is a highly challenging social and epistemological process which needs supporting (infra-)structures facilitating and enabling these processes. These processes have to take into account on various levels and domains in an integrated and interdisciplinary manner. It will be shown that innovation can no longer be understood as a mechanistic knowledge creation process. The concept of enabling will be developed as an alternative approach to innovation and will be applied as a design principle for Enabling Spaces. We will discuss the role of ICT in such an alternative approach to innovation. Finally, we will derive design principles for such highly interdisciplinary Enabling Spaces from these considerations.
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A total of 136 eighth-grade math students from 2 Singapore schools learned from either productive failure (PF) or vicarious failure (VF). PF students generated solutions to a complex problem targeting the concept of variance that they had not learned yet before receiving instruction on the targeted concept. VF students evaluated the solutions generated by PF students before receiving the same instruction. Student-generated solutions were either suboptimal or incorrect, and in this sense can be conceived as failed problem-solving attempts. Although there was no difference on self-reported engagement, PF students reported significantly greater mental effort and interest in knowing the canonical solution to the problem than VF students. When preexisting differences in general ability, math ability, and prior knowledge were controlled, PF students outperformed VF students on conceptual understanding and transfer without compromising procedural fluency. These results suggest that when learning a new math concept, people learn better from their own failed solutions than those of others provided appropriate instruction on the targeted concept is given after the generation or evaluation activity.
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Innovation has become one of the key drivers for growth. However, how do we bring about innovation which is both radical and respects the limits of the world? One of our key assumptions is that we have to take into consideration the epistemological and cognitive processes leading to (radically) new knowledge first. We propose an approach that establishes spaces enabling such processes of knowledge creation we refer to them as Enabling Spaces. This article is concerned with the question of how innovation, and more specifically, profound, radical and sustainable innovation can be brought about in a more qualitative manner. What are the necessary concepts and attitudes which facilitate the processes of innovation? The notion of enabling as opposed to 'managing' or controlling innovation is to be developed. Furthermore the concept of situated/extended cognition is discussed as a key ingredient for Enabling Spaces. The second part gives an overview of the concept of Enabling Spaces and of the design process leading to such spaces. Finally the concrete case of a knowledge-creating university is discussed.
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Large established firms typically focus on enhancing their ability to manage their core businesses, with an emphasis on cost reduction, quality improvements, and incremental innovation in existing products and processes. To sustain competitive advantage over the long term, mature firms must in parallel develop radical innovations (RI) as a basis for building and dominating fundamentally new markets. Management practices that are effective in established businesses are often ineffective and even destructive when applied to RI projects because of higher levels of uncertainty inherent in the latter. Understanding the characteristics of RI projects and the nature of the uncertainty that pervades them is critical to developing appropriate managerial practices. This paper reports the results of a longitudinal study of 12 RI projects in 10 large established U.S.-based firms. A qualitative, prospective design was used to collect and analyze data. Project team leaders, members, and sponsors for each project were interviewed repeatedly over five years. The analysis centers on the dimensions and characteristics of uncertainty that project teams experienced. The analysis of the challenges they confronted is used to construct a multidimensional model of RI uncertainties. The model identifies four categories of uncertainty as key drivers of project management: technical, market, organizational, and resource uncertainty. Each of these four categories is elaborated in the context of radical innovation and further distinguished via two additional dimensions: criticality and latency. These are substantiated through case based data. Implications for management skills, processes, and appropriate tools associated with radical innovation projects are discussed.
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This paper explores the cumulative reflections of lecturers examining their tacit assumptions of teaching practice. Despite extensive literature on the educational value of reflection, there is less visible research on teachers assessing their own reflective thinking. This longitudinal interpretive study uses Larrivee's assessment framework with a purposive sample of UK business students. Findings reveal insights for teaching reflection; acknowledging the discomfort of reflexive practice encourages learners to experiment with knowledge interpretation. The students' struggle to engage in reflection resonated with lecturers' parallel difficulties. The teaching approach balances deliberate structure with uncertain outcomes to trigger fresh interpretation of developmental theory and workplace relevance. Practice implications for lecturers are that harnessing uncertainty can provoke deeper insights that enable students to direct their learning and develop reflective skills. This case study offers a practical assessment example to enrich reflexive teaching, with scope to compare and replicate in different disciplinary settings.
Book
A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. The first part of the book sets out how the theory enables rich, layered perception. The theory's probabilistic and statistical foundations are explained using examples from empirical research and analogies to different forms of inference. The second part uses the simple mechanism in an explanation of problematic cases of how we manage to represent, and sometimes misrepresent, the world in health as well as in mental illness. The third part looks into the mind, and shows how the theory accounts for attention, conscious unity, introspection, self and the privacy of our mental world.
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Culture influences both individual behavior and how businesses operate. Those working in both the business and policy arenas must understand other cultures and avoid ethnocentrism. Culture is defined as the "collective programming of the mind"; in the modern context it exists within national borders. Using data from surveys of employees in 40 countries at the HERMES Corporation in 1968 and 1972, four categories of cultural difference become clear and useful: power distance; uncertainty avoidance individualism; and masculinity. These categories are then correlated not only with one another, but with other available data. Sex differentiation is the final dimension of cultural difference in this analysis. These four dimensions of national culture describe the human condition. Some of them correlate with one another. Analyzing the correlations between the various indices allows the clustering of these 40 countries with similar statistics into 8 groups: More and Less Developed Latin and Asian, Near-Eastern, Germanic, Anglo and Nordic. Because the HERMES data was collected at two different points, 1968 and 1972, it can show change over time. While scientific discoveries can effect cultural change, not every culture will become increasingly similar. Different cultures will follow different trends, though some trends will be global. There was a worldwide decrease in desired power difference and in elevations of stress and both the Individualism Index (IDV) and Masculinity Index (MAS) grew during this period. Speculation on long term trends is provided, suggesting that the IDV will rise and the Power Distance Index norm will fall as long as national wealth increases; the Uncertainty Avoidance Index will fluctuate as people age, and MAS will remain constant as time passes. Organizations are bound by the cultures that created them, with consequences for cultural relativity for a number of areas: motivation; leadership; decision-making; planning and control; organization design; development; humanization of work; industrial democracy; company ownership and control; and the reaction of the local environment to the organization. Possible training strategies for multi-national and multi-cultural corporations are included and the Values Survey Module is introduced, shortening and improving upon the original HERMES survey in the hope that research on cultural difference will continue. (RAS)
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The importance of the social dimension of organisations is currently a strong focus of emphasis in the literature. From a managerial perspective, however, it is important that the community spirit within an organisation falls in line with its strategic direction. The study discussed in this article shows that high quality internal communication may be important in encouraging such a supportive attitude. What is considered ‘good’ internal communication does not directly engender more support for the organisation's strategic direction. However, evidence from research in five organisations (with 791 respondents distributed across 19 work units) suggests that there are two ways to foster support. One is to create a sense of commitment within the organisation; the other is to establish trust in the management. Both approaches appear to have a positive relationship with good internal communication. The quality of task-related communication is important in creating commitment. What is vital in creating trust, however, is the quality of non-task-related communication. The study at the focus of this article addresses the following question: does organisational communication help foster a positive attitude towards the strategic direction of an organisation?
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'Grounded theory' may be used to bridge between case studies and large-scale surveys, which enables the strengths of both to be combined in the same research programme. Starting with detailed in-depth studies of individual cases, a general model may be constructed through the key processes of 'theoretical sensitivity', 'theoretical sampling' and 'theoretical saturation'. Unlike most qualitative methodology, the grounded theory approach claims to produce testable outcomes: grounded theory is intended to lead to predictions which may be subject to traditional experimental and statistical testing. This paper describes one example of the application of a grounded theory approach to research into the learning of science, and considers the generalizability of the research results.
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For some time (around 100 years), the dominant influence in the shaping of curricula has been that of the academics in their separate knowledge fields. In the contemporary world, that academic hegemony is dissolving as curricula become subject to two contending patterns of change. Firstly, in a mass higher education system, there will be tendencies towards increased diversity in the components of curricula, the positioning of the providing institution being just one influence to which are added manifold 'external' influences, such as a growing student market and the interests of employers. Secondly, and in contradistinction to such diversity, as the state looks to see a greater responsiveness towards the world of work, it is possible that a universal shift in the direction of performativity is emerging: what counts is less what individuals know and more what individuals can do (as represented in their demonstrable 'skills'). Hitherto, systematic attention to curricula as such in higher education has been barely evident. Accordingly, curricula are taking on ad hoc patterns that are the unwitting outfall of this complex of forces at work, diversifying and universalising as—at the same time—these forces are. In consequence, curricula will be unlikely to yield the human qualities of being that the current age of supercomplexity requires.