As one of the important 21st-century skills, collaborative problem solving (CPS) has caught much attention in the assessment area. Two initiative approaches have been created: the human-to-human and human-to-agent modes. Between the two modes, the human-to-human interaction is much closer to the real-world situation and its process stream data can reveal more detailed information about the cognitive processes. In order to measure CPS ability effectively by this mode, how to extract indicators from the data and model it (...) is crucial, while the existing methods all have some disadvantages. In the present study, we proposed a new paradigm for extracting indicators and modeling the dyad data in the human-to-human mode. Specifically, both individual and group indicators were extracted from the data stream, which served as evidence for demonstrating CPS skills. In addition, a within-item multidimensional Rasch model was used to fit the dyad data. To test the validity of the paradigm, we developed five tasks following the asymmetric mechanism and integrated them into an online testing platform. Four hundred thirty-four students from China participated in the assessment and the online platform recorded their crucial actions with time stamps. The new paradigm was used to deal with the generated process stream data. Results showed that the model fitted well. The item parameter estimates and fitting indexes were acceptable, and students were well differentiated. In general, the new paradigm of extracting indicators and modeling the dyad data is feasible for improving the human-to-human assessment of CPS. Finally, the limitations of the current study and further research directions are discussed. (shrink)

Cocreating meaning in collaboration is challenging. Success is often determined by people's abilities to coordinate their language to converge upon shared mental representations. Here we explore one set of low‐level linguistic behaviors, linguistic alignment, that both emerges from, and facilitates, outcomes of high‐level convergence. Linguistic alignment captures the ways people reuse, that is, “align to,” the lexical, syntactic, and semantic forms of others' utterances. Our focus is on the temporal change of multi‐level linguistic alignment, as well as how alignment is (...) related to communicative outcomes within a unique collaborative problem‐solving paradigm. The primary task, situated within a virtual educational video game, requires creative thinking between three people where the paths for possible solutions are highly variable. We find that over time interactions are marked by decreasing lexical and syntactic alignment, with a trade‐off of increasing semantic alignment. However, greater semantic alignment does not translate into better team performance. Overall, these findings provide greater clarity on the role of linguistic coordination within complex and dynamic collaborative problem‐solving tasks. (shrink)

Multiple theories of problem-solving hypothesize that there are distinct qualitative phases exhibited during effective problem-solving. However, limited research has attempted to identify when transitions between phases occur. We integrate theory on collaborative problem-solving with dynamical systems theory suggesting that when a system is undergoing a phase transition it should exhibit a peak in entropy and that entropy levels should also relate to team performance. Communications from 40 teams that collaborated on a complex (...) class='Hi'>problem were coded for occurrence of problem-solving processes. We applied a sliding window entropy technique to each team's communications and specified criteria for identifying data points that qualify as peaks and determining which peaks were robust. We used multilevel modeling, and provide a qualitative example, to evaluate whether phases exhibit distinct distributions of communication processes. We also tested whether there was a relationship between entropy values at transition points and CPS performance. We found that a proportion of entropy peaks was robust and that the relative occurrence of communication codes varied significantly across phases. Peaks in entropy thus corresponded to qualitative shifts in teams’ CPS communications, providing empirical evidence that teams exhibit phase transitions during CPS. Also, lower average levels of entropy at the phase transition points predicted better CPS performance. We specify future directions to improve understanding of phase transitions during CPS, and collaborative cognition, more broadly. (shrink)

How should linguistically formulated moral principles figure in an account of our moral understanding and practice?

Integrating different perspectives is a sophisticated strategy for developing constructive interactions in collaborative problem solving. However, cognitive aspects such as individuals’ knowledge and bias often obscure group consensus and produce conflict. This study investigated collaborative problem solving, focusing on a group member interacting with another member having a different perspective. It was predicted that mavericks might mitigate disadvantages and facilitate perspective taking during problem solving. Thus, 344 university students participated in two laboratory-based (...) experiments by engaging in a simple rule-discovery task that raised conflicts among perspectives. They interacted with virtual partners whose conversations were controlled by multiple conversational agents. Results show that when participants interacted with a maverick during the task, they were able to take others’ perspectives and integrate different perspectives to solve the problem. Moreover, when participants interacted in groups with a positive mood, groups with a maverick outperformed groups having several perspectives. (shrink)

We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to form new behaviors, or irregularity. We tested this hypothesis in a study with 32 triads who collaboratively solved a challenging visual computer programming task for 20 min following an introductory warm‐up phase. Multidimensional recurrence quantification analysis was used to examine fine‐grained (i.e., every 10 (...) s) collective patterns of regularity across team members' speech rate, body movement, and team interaction with the shared user interface. We found that teams exhibited significant patterns of regularity as compared to shuffled baselines, but there were no systematic trends in regularity across time. We also found that periods of regularity were associated with a reduction in overall behavior. Notably, the production of irregular behavior predicted expert‐coded metrics of collaborative activity, such as teams' ability to construct shared knowledge and effectively negotiate and coordinate execution of solutions, net of overall behavioral production and behavioral self‐similarity. Our findings support the theory that groups can interact to form interpersonal synergies and indicate that information about system‐level dynamics is a viable way to understand and predict effective collaborative processes. (shrink)

Why do some groups succeed where others fail? We hypothesise that collaborative success is achieved when the relationship between the dyad's prior expertise and the complexity of the task creates a situation that affords constructive and interactive processes between group members. We call this state the zone of proximal facilitation in which the dyad's prior knowledge and experience enables them to benefit from both knowledge-based problem-solving processes (e.g., elaboration, explanation, and error correction) andcollaborative skills (e.g., creating common (...) ground, maintaining joint attention to the task). To test this hypothesis we conducted an experiment in which participants with different levels of aviation expertise, experts (flight instructors), novices (student pilots), and non-pilots, read flight problem scenarios of varying complexity and had to identify the problem and generate a solution with either another participant of the same level of expertise or alone. The non-pilots showed collaborative inhibition on problem identification in which dyads performed worse than their predicted potential for both simple and complex scenarios, whereas the novices and experts did not. On solution generation the non-pilot and novice dyads performed at their predicted potential with no collaborative inhibition on either simple or complex scenarios. In contrast, expert dyads showed collaborative gains, withdyads performing above their predicted potential, but only for the complex scenarios. On simple scenarios the expert dyads showed collaborative inhibition and performed worse than their predicted potential. We discuss the implications of these results for theories of collaborative problem solving. (shrink)

Peer interaction has been found to be conducive to learning in many settings. Knowledge co-construction has been proposed as one explanatory mechanism. However, KCC is a theoretical construct that is too abstract to guide the development of instructional software that can support peer interaction. In this study, we present an extensive analysis of a corpus of peer dialogs that we collected in the domain of introductory Computer Science. We show that the notion of task initiative shifts correlates with both KCC (...) and learning. Speakers take task initiative when they contribute new content that advances problem solving and that is not invited by their partner; if initiative shifts between the partners, it indicates they both contribute to problem solving. We found that task initiative shifts occur more frequently within KCC episodes than outside. In addition, task initiative shifts within KCC episodes correlate with learning for low pre-testers, and total task initiative shifts correlate with learning for high pre-testers. As recognizing task initiative shifts does not require as much deep knowledge as recognizing KCC, task initiative shifts as an indicator of productive collaboration are potentially easier to model in instructional software that simulates a peer. (shrink)

The aim of this study is to use a commognitive responsibility framework to visualize responsibility shift in collaborative problem solving during computer-supported one-to-one tutoring. Commognitive responsibility shift means that individuals’ cognitive responsibility shift can be reflected by the discourse in communication. For our sample, we chose a 15-year-old Chinese boy and his mathematics teacher with 6 years of teaching experience, both of whom have experienced computer-supported learning and teaching mathematics, respectively. We collected four tutoring videos online, and (...) a 45-min interview video from the teacher. We found that the third type of commognitive responsibility shift in both the teacher’s and student’s CPS behavior online is not only teacher–student comparison but also alternating-led, which includes teacher–student-led and student–teacher-led. (shrink)

Integrative systems biology is an emerging field that attempts to integrate computation, applied mathematics, engineering concepts and methods, and biological experimentation in order to model large-scale complex biochemical networks. The field is thus an important contemporary instance of an interdisciplinary approach to solving complex problems. Interdisciplinary science is a recent topic in the philosophy of science. Determining what is philosophically important and distinct about interdisciplinary practices requires detailed accounts of problem-solving practices that attempt to understand how specific (...) practices address the challenges and constraints of interdisciplinary research in different contexts. In this paper we draw from our 5-year empirical ethnographic study of two systems biology labs and their collaborations with experimental biologists to analyze a significant problem-solving approach in ISB, which we call adaptive problem solving. ISB lacks much of the methodological and theoretical resources usually found in disciplines in the natural sciences, such as methodological frameworks that prescribe reliable model-building processes. Researchers in our labs compensate for the lack of these and for the complexity of their problems by using a range of heuristics and experimenting with multiple methods and concepts from the background fields available to them. Using these resources researchers search out good techniques and practices for transforming intractable problems into potentially solvable ones. The relative freedom lab directors grant their researchers to explore methodological options and find good practices that suit their problems is not only a response to the complex interdisciplinary nature of the specific problem, but also provides the field itself with an opportunity to discover more general methodological approaches and develop theories of biological systems. Such developments in turn can help to establish the field as an identifiably distinct and successful approach to understanding biological systems. (shrink)

To help consider why some groups solve problems successfully but others do not, this article introduces a framework for analyzing sequences of group members' actions. The dimensions of evaluation of the previous action , knowledge content , and invitational form organize twenty-seven individual actions, each with specific functions and conditions of use. Evaluations, repetitions and invitational forms link actions together to create coherent social interactions, and thereby serve as possible quantitative measures of collaboration quality. Specific individual action also helps constitute (...) specific social interactions. Six types of social interactions that occur during group problem-solving are organized by problem knowledge distribution and degree of cooperation . This framework's mutually exclusive categories and multi-function individual actions allow statistical analyses of many group interactions both in their entirety and infine detail. (shrink)

Engineering ethics entails three frames of reference: individual, professional, and social. “Microethics” considers individuals and internal relations of the engineering profession; “macroethics” applies to the collective social responsibility of the profession and to societal decisions about technology. Most research and teaching in engineering ethics, including online resources, has had a “micro” focus. Mechanisms for incorporating macroethical perspectives include: integrating engineering ethics and science, technology and society (STS); closer integration of engineering ethics and computer ethics; and consideration of the influence of (...) professional engineering societies and corporate social responsiblity programs on ethical engineering practice. Integrating macroethical issues and concerns in engineering ethics involves broadening the context of ethical problem solving. This in turn implies: developing courses emphasizing both micro and macro perspectives, providing faculty development that includes training in both STS and practical ethics; and revision of curriculum materials, including online resources. Multidisciplinary collaboration is recommended 1) to create online case studies emphasizing ethical decision making in individual, professional, and societal contexts; 2) to leverage existing online computer ethics resources with relevance to engineering education and practice; and 3) to create transparent linkages between public policy positions advocated by professional societies and codes of ethics. (shrink)

While collaboration has always played an important role in many cases of discovery and creation, recent developments such as the web facilitate and encourage collaboration at scales never seen before, even in areas such as mathematics, where contributions by single individuals have historically been the norm. This new scenario poses a challenge at the theoretical level, as it brings out the importance of various issues which, as of yet, have not been sufficiently central to the study of problem-solving, (...) discovery, and creativity. We analyze the case of collective and web-based proof events in mathematics, which share their temporal and social nature with every case of collective problem-solving. We propose that some ideas from cognitive architectures, in particular, the notion of codelet—understood as an agent engaged in one of a multitude of available tasks—can illuminate our understanding of collective problem-solving and act as a natural bridge from some of the theoretical aspects of collective, web-based discovery to the practical concern of designing cognitively inspired systems to support collective problem-solving. We use the Pythagorean Theorem and its many proofs as a case study to illustrate our approach. (shrink)

Recent times have seen increasing interest in conversational assistants (e.g., Amazon Alexa) designed to help users in their daily tasks. In military settings, it is critical to design assistants that are, simultaneously, helpful and able to minimize the user’s cognitive load. Here we show that embodiment plays a key role in achieving that goal. We present an experiment where participants engaged in the desert survival task in augmented reality. Participants were paired with a voice assistant, an embodied assistant, or no (...) assistant. The assistants made suggestions verbally throughout the task, whereas the embodied assistant further used gestures and emotion to communicate with the user. Our results indicate that both assistant conditions led to higher performance over the no assistant condition, but the embodied assistant achieved this with less cognitive burden on the decision maker than the non-embodied assistant. We discuss implications for the design of intelligent collaborative systems for the warfighter. (shrink)

There is evidence that problem-based learning (PBL) is an effective approach to teach team and problem-solving skills, but also to acquire content knowledge. However, there is hardly any literature about using PBL in philosophy classes. One problem is that PBL is resource intensive because a facilitator is needed for each group of students to support learning efforts and monitor group dynamics. In order to establish more PBL classes, the question is whether PBL can be provided without (...) the need for facilitators. We present a combination of five strategies—among them the collaborative argument visualization software AGORA-net—to replace facilitators. Additionally, we present evidence that these strategies are sufficient to provide a PBL experience that achieves intended learning goals in an ethics class and is satisfying for students without facilitators. (shrink)

As a committee of the National Academy of Engineering recognized, ethics education should foster the ability of students to analyze complex decision situations and ill-structured problems. Building on the NAE’s insights, we report about an innovative teaching approach that has two main features: first, it places the emphasis on deliberation and on self-directed, problem-based learning in small groups of students; and second, it focuses on understanding ill-structured problems. The first innovation is motivated by an abundance of scholarly research that (...) supports the value of deliberative learning practices. The second results from a critique of the traditional case-study approach in engineering ethics. A key problem with standard cases is that they are usually described in such a fashion that renders the ethical problem as being too obvious and simplistic. The practitioner, by contrast, may face problems that are ill-structured. In the collaborative learning environment described here, groups of students use interactive and web-based argument visualization software called “AGORA-net: Participate – Deliberate!”. The function of the software is to structure communication and problem solving in small groups. Students are confronted with the task of identifying possible stakeholder positions and reconstructing their legitimacy by constructing justifications for these positions in the form of graphically represented argument maps. The argument maps are then presented in class so that these stakeholder positions and their respective justifications become visible and can be brought into a reasoned dialogue. Argument mapping provides an opportunity for students to collaborate in teams and to develop critical thinking and argumentation skills. (shrink)

I evaluate the extent to which we could learn something about how we should be conducting collaborative research in science from the research on groupthink. I argue that Solomon has set us in the wrong direction, failing to recognize that the consensus in scientific specialties is not the result of deliberation. But the attention to the structure of problem-solving that has emerged in the groupthink research conducted by psychologists can help us see when deliberation could lead to (...) problems for a research team. I argue that whenever we need to generate alternative solutions or proposals, groupthink is a genuine threat, and research teams would be wise to allow individuals opportunities to work alone. But the benefits of team work emerge when scientists seek to evaluate the various proposals generated, and determine a course of action. Then the group is less prone is groupthink, and the interaction of group members can be an epistemic asset. (shrink)

In this work, we present a new approach to solve the location management problem by using the reporting cells strategy. Location management is a very important and complex problem in mobile computing which aims to minimize the costs involved. In the reporting cells location management scheme, some cells in the network are designated as reporting cells . The choice of these cells is not trivial because they affect directly to the cost of the mobile network. This article is (...) focused on the use of high performance computing to execute a parallel heuristic that places optimally the RCs in a mobile network, minimizing its total cost. The main goal of this work is to demonstrate that the collaborative work of different evolutionary algorithms can obtain very good results. For this reason, we have implemented a parallel heuristic and six evolutionary algorithms that works in a parallel way on a cluster to solve the RCs problem. (shrink)

This paper discusses collaborative learning and its use in an elective course on ethics in engineering. Collaborative learning is a form of active learning in which students learn with and from one another in small groups. The benefits of collaborative learning include improved student performance and enthusiasm for learning, development of communication skills, and greater student appreciation of the importance of judgment and collaboration in solving real-world problems such as those encountered in engineering ethics. Collaborative (...) learning strategies employed in the course include informal small group discussions/problem solving, role-playing exercises, and cooperative student group projects, including peer grading. Student response to these techniques has been highly favorable. Realizing the benefits of collaborative learning is a challenge to both teachers, who must give up some control in the classroom, and students, who must be willing to take greater responsibility for their learning. (shrink)

The goals of this study are to evaluate a relatively novel learning environment, as well as to seek greater understanding of why human tutoring is so effective. This alternative learning environment consists of pairs of students collaboratively observing a videotape of another student being tutored. Comparing this collaboratively observing environment to four other instructional methods—one‐on‐one human tutoring, observing tutoring individually, collaborating without observing, and studying alone—the results showed that students learned to solve physics problems just as effectively from observing tutoring (...) collaboratively as the tutees who were being tutored individually. We explain the effectiveness of this learning environment by postulating that such a situation encourages learners to become active and constructive observers through interactions with a peer. In essence, collaboratively observing combines the benefit of tutoring with the benefit of collaborating. The learning outcomes of the tutees and the collaborative observers, along with the tutoring dialogues, were used to further evaluate three hypotheses explaining why human tutoring is an effective learning method. Detailed analyses of the protocols at several grain sizes suggest that tutoring is effective when tutees are independently or jointly constructing knowledge: with the tutor, but not when the tutor independently conveys knowledge. (shrink)

As development of research ethics competencies is in the focus in higher education institutions, it is crucial to understand how to support the learning process during such training. While there is plenty of research on how to scaffold children’s learning of cognitive skills, there is limited knowledge on how to enhance collaborative case-based learning of research ethics competencies in HE contexts. Our aim was to identify whether, how and when scaffolding is needed with various expertise levels to support development (...) of ethics competencies. To identify and evaluate scaffolding during collaborative case-based ethics training we synthesised a scaffolding framework consisting of three levels: techniques, mechanisms and process. We organised 5 training sessions where 46 participants were involved. Data was collected as part of action research from group-work recordings and transcribed verbatim. Deductive qualitative analysis was implemented on transcripts based on the scaffolding framework. Our analysis revealed that structural scaffolding alone is not always efficient with bachelor level students, they also require oral scaffolding when the need becomes apparent. Master’s level students benefited most from wording the issues they needed to focus on. Doctoral students and senior academics needed scaffolding to maintain goal orientation. We end our article with some recommendations for facilitators of ethics education, and encourage using the scaffolding framework also in complex problem-solving beyond ethics training. (shrink)

ContextBehavioral observation scales are important for understanding and assessing social skills. In the context of collaborative problem-solving skills, considered essential in the 21st century, there are no validated scales in French that can be adapted to different CPS tasks. The aim of this study is to adapt and validate, by annotating a new video corpus of dyadic interactions that we have collected, two observational scales allowing us to qualitatively assess CPS skills: the Social Performance Rating Scale and (...) the Social Skills of Collaboration Scale.MethodThe construct validity of these two scales was assessed by exploratory factor analysis and inter-item correlations. We also checked inter-judge agreement using inter-class correlation coefficients. Internal consistency was determined using Cronbach’s alpha and convergent and divergent validity by assessing correlations between the two scales and measures of depression and alexithymia. Finally, the discriminative properties of the two scales were analyzed by comparing the scores obtained by a group of anxious individuals and a non-anxious control group.ResultsThe results show that our two scales have excellent inter-item correlations. Internal consistency is excellent. Inter-rater agreement ranged from moderate to high. Finally, convergent validity was significant with the alexithymia scale, as was divergent validity with the depression scale. Anxious individuals had lower scores on both scales than non-anxious individuals.ConclusionBoth scales show good psychometric properties for assessing social skills relevant to different collaborative tasks. They also identify individuals with difficulties in social interaction. Thus, they could allow monitoring the effectiveness of training social skills useful in CPS. (shrink)

Technological advancements in information systems over the past few decades have enabled firms to work with the major suppliers and customers in their supply chain in order to improve the performance of the entire channel. Tremendous benefits for all parties can be realized by sharing information and coordinating operations to reduce inventory requirements, improve quality, and increase customer satisfaction; but the companies must collaborate effectively to bring these gains to fruition. We consider two alternative methods of managing these interfirm supply (...) chain relationships in this article. The first, which we have named “dictatorial collaboration,” occurs when a dominant supply chain entity assumes control of the channel and forces the other firms to follow its edicts. We compare and contrast this method with “sustainable collaboration,” in which the parties share resources and engage in joint problem solving to improve the performance of the system as a whole. We use a virtue ethics lens to describe these methods of relationship management to suggest that sustainable collaboration is preferable to dictatorial collaboration both operationally and ethically in the long run. (shrink)

The focus of this article is on multi-organizational cross-sector social partnerships (CSSP), an increasingly common means of addressing complex social and ecological problems that are too extensive to be solved by any one organization. While there is a growing body of literature on CSSP, there is little focus on collaborative strategic management, especially where implementation and outcomes are concerned. This study addresses these gaps by offering a conceptual model of collaborative strategic management, which is then tested through the (...) use of two qualitative empirical cases of collaborative regional sustainable development strategies (CRSDS). The model augments previous collaboration models by highlighting two levels of implementation (the collaboration and the organizational levels) and by considering the different types of outcomes, and the feedback loops. (shrink)

Given the limitations of the “project” mode of development assistance, and the likelihood that funding will not be as available in the future for financing large development projects as it has in the past, it is appropriate to consider alternative mechanisms for American institutions and professionals to remain engaged in development efforts overseas. One hopes these will be more effective and cost-effective than previous channels of development aid.The “collaboration” is suggested here as such a mechanism. It involves a US university (...) with overseas universities, government agencies, and nongovernmental organizations (NGOs) in interdisciplinary problem solving, with sustainable agricultural and rural development as the goal, requiring relatively modest levels of funding. There are also benefits to the US institution as it becomes more current and knowledgeable about development problems and opportunities, and better able to provide relevant teaching and research. New partnerships supported by private funding can usefully complement larger-scale official efforts and can fill in gaps where flexible operations relying on the quality of ideas and strong personal relationships offer high returns. (shrink)

We explored collaboration between scientists and nonscientists through a deliberative process in which stakeholders interested in the health challenges of honey bees gathered on four occasions over two years to design, carry out, and analyze a set of field experiments on honey bee health. We found that issues of trust and authority were crucial matters in constraining and enabling dialogue among our deliberants. Over the course of our deliberations, participants’ trust for one another and appreciation of their respective interests grew, (...) and differences in professional status appeared to play an increasingly less important role in shaping discussion. The field experiments that deliberants crafted and collectively organized over time became an engagement object that was crucial in altering the dynamics of trust and authority. We understand engagement objects as entities that stakeholders with diverse interests, experiences, and expertise collectively build over time to collectively solve overlapping, interacting problems. (shrink)

Human-robot collaboration, whereby the human and the robot join their forces to achieve a task, opens new application opportunities in manufacturing. Robots can perform precise and repetitive operations while humans can execute tasks that require dexterity and problem-solving abilities. Moreover, collaborative robots can take over heavy-duty tasks. Musculoskeletal disorders (MSDs) are a serious health concern and the primary cause of absenteeism at work. While the role of the human is still essential in flexible production environment, the robot (...) can help decreasing the workload of workers. This paper describes a novel framework for task allocation of human-robot assembly applications based on capabilities and ergonomics considerations. Capable agents are determined on the basis of agent characteristics and task requirements. Ergonomics is integrated by measuring the human body posture and the related workload. The developed framework was validated on a gearbox assembly use case using the collaborative robot Baxter. (shrink)

Cet article porte sur l'étude processus sociocognitifs qui aboutissent à la co-construction d'une procédure de résolution de problème dans un contexte d'activité médiatisée par un logiciel. Son objectif est de voir comment, dans un contexte d'utilisation d'un logiciel de « fabrication assistée par ordinateur » , de jeunes adultes parviennent à gérer les aspects cognitifs et sociaux . À partir de cette illustration empirique, nous dégagerons un ensemble de propositions: - méthodologiques: comment appréhender le travail collaboratif dans des situations médiatisées (...) par un logiciel? - théoriques: quelles compétences et quelles dynamiques interactives sont activées dans de telles situations?The paper examines the sociocognitive processes that lead to the construction of a procedure for problem solving when software is invovled. The aim is to see how, in the context of the use of computer-aided manufacturing software, young adults are able to deal with cognitive and social aspects. This empirical illustration will be a basis for the extrapolation of a series of questions: - on methodological level : how should we approach collaborative learning in situations where software is used ? - on a theoretical level : which skills and interactive processes are brought into play in such situations ? (shrink)

Beyond Interdisciplinarity examines the broadening meaning of core concept across academic disciplines and other forms of knowledge. In this book, Associate Editor of The Oxford Handbook of Interdisciplinarity and internationally recognized scholar Julie Thompson Klein depicts the heterogeneity and boundary work of inter- and trans-disciplinarity in a conceptual framework based on an ecology of spatializing practices in transaction spaces, including trading zones and communities of practice. The book includes both "crossdisciplinary" work (encompassing multi-, inter-, and trans-disciplinary forms) as well as (...) "cross-sector" work (spanning disciplines, fields, professions, government and industry, and communities). The first section of the book defines and explains boundary work, discourses of interdisciplinarity, and the nature of interdisciplinary fields. In the second section, Klein examines dynamics of working across disciplines, including communication, collaboration, and learning with concrete examples and lessons from research projects and programs that transcend traditional fields. The closing chapter examines reasons for failure and success then presents gateways to literature and other resources. Throughout the book, Klein emphasizes the roles of contextualization and historical change while factoring in the shifting relationship of disciplinarity and interdisciplinarity, ascendancy of transdisciplinarity, and intersections with other constructs including Mode 2 knowledge production, convergence, team science, and postdisciplinarity. The conceptual framework she provides also includes the role of boundary objects, agents, and organizations in brokering differences and creating for platforms for change. Klein further explains why translation, interlanguage, and a communication boundary space are vital to achieving intersubjectivity and collective identity. They foster not only pragmatics of negotiation and integration but also reflexivity, transactivity, and co-production of knowledge with stakeholders beyond the academy. Rhetorics of holism and synthesis compete with instrumentalities of problem solving and transgressive critiques. However, typical warrants today include complexity, contextualization, collaboration, and socially-robust knowledge. Crossing boundaries remains complex, but this book guides readers through the density of pertinent literature while expanding understandings of crossdisciplinary and cross-sector work. (shrink)

Collaboration requires agents to coordinate their behavior on the fly, sometimes cooperating to solve a single task together and other times dividing it up into sub‐tasks to work on in parallel. Underlying the human ability to collaborate is theory‐of‐mind (ToM), the ability to infer the hidden mental states that drive others to act. Here, we develop Bayesian Delegation, a decentralized multi‐agent learning mechanism with these abilities. Bayesian Delegation enables agents to rapidly infer the hidden intentions of others by inverse planning. (...) We test Bayesian Delegation in a suite of multi‐agent Markov decision processes inspired by cooking problems. On these tasks, agents with Bayesian Delegation coordinate both their high‐level plans (e.g., what sub‐task they should work on) and their low‐level actions (e.g., avoiding getting in each other's way). When matched with partners that act using the same algorithm, Bayesian Delegation outperforms alternatives. Bayesian Delegation is also a capable ad hoc collaborator and successfully coordinates with other agent types even in the absence of prior experience. Finally, in a behavioral experiment, we show that Bayesian Delegation makes inferences similar to human observers about the intent of others. Together, these results argue for the centrality of ToM for successful decentralized multi‐agent collaboration. (shrink)

This paper presents a theorisation of collaborative activity that was developed in the research field known as “collaborative learning”, in order to understand the processes of co-elaboration of meaning and knowledge. Collaboration, as distinguished from cooperation, coordination and collective activity, is defined as a continued and conjoined effort towards elaborating a “joint problem space” of shared representations of the problem to be solved. An approach to analysing the processes of co-construction of a joint problem space (...) is outlined, in terms of inter-discursive operations, together with approaches to defining different forms of cooperative activity. In conclusion, the specificity of this approach to defining collaboration is discussed in relation to other fields of research. (shrink)

This paper presents a theorisation of collaborative activity that was developed in the research field known as “collaborative learning”, in order to understand the processes of co-elaboration of meaning and knowledge. Collaboration, as distinguished from cooperation, coordination and collective activity, is defined as a continued and conjoined effort towards elaborating a “joint problem space” of shared representations of the problem to be solved. An approach to analysing the processes of co-construction of a joint problem space (...) is outlined, in terms of inter-discursive operations, together with approaches to defining different forms of cooperative activity. In conclusion, the specificity of this approach to defining collaboration is discussed in relation to other fields of research. (shrink)

The demand in the workplace is rapidly changing brought about by the educational reforms and the emergence of disruptive technology. The changes increase the importance of employability skills and literacy that would ensure career success and degree program relevance. On this premise, a study was carried out using a scoping review to examine the existing literature that published information related to employability skills of Teacher Education graduates in the Philippines. The review covered fifteen published articles that qualified in inclusion and (...) exclusion criteria. Results revealed the top employable skills which include communication; information and communication technology; problem-solving and critical thinking; collaboration, cooperation, and teamwork; research; and leadership. This study offers these skills as a framework in the curriculum enhancement of teacher education programs. It was recommended to Teacher Education Institutions to revisit their curriculum and find out if these competencies were given considerable emphasis in instruction. The partially employable skills of graduates from teacher education programs imply the furtherance of the inquiry to confirm if these skills are employable or not. Future tracer studies may take the lens of the framework in evaluating the responsiveness of the curriculum. (shrink)

Social work and bioethics are fields deeply committed to cross-disciplinary collaboration to do their respective work. While scholars and practitioners from both fields share a commitment to social justice and to respecting the dignity, integrity and the worth of all persons, the overlap between the fields, including shared values, has received little attention. The purpose of this article is to describe the ways in which greater collaboration between the two fields can broaden their scope, enrich their scholarship, and better ground (...) their practice. We describe the potential for realizing such benefits in two areas – health care ethics consultation and social inequalities in health – arguing that the fields both complement and challenge one another, making them ideal partners for the interdisciplinary inquiry and problem-solving so often called for today in health and health care. (shrink)

Wicked problems’ are tricky to solve because of their many interconnected components and a lack of any single optimal solution. At the science–policy interface, all problems can look wicked: research exposes the complexity that is relevant to designing, executing and implementing policy fit for ambitious human needs. Expertise in philosophical research can help to navigate that complexity.

Background Retraction is a mechanism for alerting readers to unreliable material and other problems in the published scientific and scholarly record. Retracted publications generally remain visible and searchable, but the intention of retraction is to mark them as “removed” from the citable record of scholarship. However, in practice, some retracted articles continue to be treated by researchers and the public as valid content as they are often unaware of the retraction. Research over the past decade has identified a number of (...) factors contributing to the unintentional spread of retracted research. The goal of the Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda (RISRS) project was to develop an actionable agenda for reducing the inadvertent spread of retracted science. This included identifying how retraction status could be more thoroughly disseminated, and determining what actions are feasible and relevant for particular stakeholders who play a role in the distribution of knowledge. -/- Methods These recommendations were developed as part of a year-long process that included a scoping review of empirical literature and successive rounds of stakeholder consultation, culminating in a three-part online workshop that brought together a diverse body of 65 stakeholders in October–November 2020 to engage in collaborative problem solving and dialogue. Stakeholders held roles such as publishers, editors, researchers, librarians, standards developers, funding program officers, and technologists and worked for institutions such as universities, governmental agencies, funding organizations, publishing houses, libraries, standards organizations, and technology providers. Workshop discussions were seeded by materials derived from stakeholder interviews (N = 47) and short original discussion pieces contributed by stakeholders. The online workshop resulted in a set of recommendations to address the complexities of retracted research throughout the scholarly communications ecosystem. -/- Results The RISRS recommendations are: (1) Develop a systematic cross-industry approach to ensure the public availability of consistent, standardized, interoperable, and timely information about retractions; (2) Recommend a taxonomy of retraction categories/classifications and corresponding retraction metadata that can be adopted by all stakeholders; (3) Develop best practices for coordinating the retraction process to enable timely, fair, unbiased outcomes; and (4) Educate stakeholders about pre- and post-publication stewardship, including retraction and correction of the scholarly record. -/- Conclusions Our stakeholder engagement study led to 4 recommendations to address inadvertent citation of retracted research, and formation of a working group to develop the Communication of Retractions, Removals, and Expressions of Concern (CORREC) Recommended Practice. Further work will be needed to determine how well retractions are currently documented, how retraction of code and datasets impacts related publications, and to identify if retraction metadata (fails to) propagate. Outcomes of all this work should lead to ensuring retracted papers are never cited without awareness of the retraction, and that, in public fora outside of science, retracted papers are not treated as valid scientific outputs. (shrink)

Interdisciplinarity is strongly promoted in science policy across the world. It is seen as a necessary condition for providing practical solutions to many pressing complex problems for which no single disciplinary approach is adequate alone. In this article we model multi- and interdisciplinary research as an instance of collective problem solving. Our goal is to provide a basic representation of this type of problem solving and chart the epistemic benefits and costs of researchers engaging in different (...) forms of cognitive coordination. Our findings suggest that typical forms of interdisciplinary collaboration are unlikely to find optimal solutions to complex problems within short time frames and can lead to methodological conservatism. This provides some grounds for both reflecting on current science policy and envisioning more effective scientific practices with respect to interdisciplinary problem solving. (shrink)

Artificial intelligence is presented as a set of tools with which we can try to come to terms with human problems, and with the assistance of which, some human problems can be solved. Artificial intelligence is located in its social context, in terms of the environment within which it is developed, and the applications to which it is put. Drawing on social theory, there is consideration of the collaborative and social problem-solving processes which are involved in artificial (...) intelligence and society. In a look ahead to the coming generations of highly parallel computing systems, it is suggested that lessons can be learnt from the highly parallel processes of human social problem-solving. (shrink)

_Teaching in a democracy is challenging and filled with dilemmas that have no easy answers._ For example, how do educators meet their responsibilities of teaching civic norms and dispositions while remaining nonpartisan? _Democratic Discord in Schools_ features eight normative cases of complex dilemmas drawn from real events designed to help educators practice the type of collaborative problem solving and civil discourse needed to meet these challenges of democratic education. Each of the cases also features a set of (...) six commentaries written by a diverse array of scholars, educators, policy makers, students, and activists with a range of political views to spark reflection and conversation. Drawing on research and methods developed in the Justice in Schools project at the Harvard Graduate School of Education (HGSE), _Democratic Discord in Schools_ provides the tools that allow educators and others to practice the deliberative skills they need in order to find reasonable solutions to common ethical dilemmas in politically fraught times. (shrink)

The relationship between philosophy and science has always been complementary. Today, while science moves increasingly fast and philosophy shows some problems in catching up with it, it is not always possible to ignore such relationships, especially in some disciplines such as philosophy of mind, cognitive science, and neuroscience. However, the methodological procedures used to analyze these data are based on principles and assumptions that require a profound dialogue between philosophy and science. Following these ideas, this work aims to raise the (...) problems that a classical connectionist theory can cause and problematize them in a cognitive framework, considering both philosophy and cognitive sciences but also the disciplines that are near to them, such as AI, computer sciences, and linguistics. For this reason, we embarked on an analysis of both the computational and theoretical problems that connectionism currently has. The second aim of this work is to advocate for collaboration between neuroscience and philosophy of mind because the promotion of deeper multidisciplinarity seems necessary in order to solve connectionism’s problems. In fact, we believe that the problems that we detected can be solved by a thorough investigation at both a theoretical and an empirical level, and they do not represent an impasse but rather a starting point from which connectionism should learn and be updated while keeping its original and profoundly convincing core. (shrink)

This essay explores three case studies that illustrate the exemplary use of economic analysis in environmental decision-making. These include: 1) the creation of a market in tradable grazing rights in the American West; 2) a cost analysis that facilitated a negotiated rulemaking at a power plant in Arizona; and 3) a conception of production-based pollution allowances that led to an agreement for regulating Intel microprocessor production plants. The paper argues that cost–benefit analysis may be less useful than other kinds of (...) economic analysis that can guide and inform rather than judge and second-guess the outcome of negotiated and collaborative decision-making. (shrink)

In the lesson study approach, researchers and teachers work together to solve teaching and learning problems identified by practitioners. This paper presents three examples of lesson study conducted with different audiences (primary and secondary) in mathematics and physics. The authors analyze the different postures built and adopted by researchers in each of these situations and try to identify some conditions and constraints more or less favorable to building a partnership between researchers and practitioners. The lesson study’s approaches seem to be (...) part of collaborative research, under certain conditions, especially in connection to researchers postures that accompany these research groups. These conditions meet the idea of the double likelihood that characterizes collaborative research. (shrink)

In a world permeated by digital technology, engineering is involved in every aspect of human life. Engineers address a wider range of design problems than ever before, raising new questions and challenges regarding their work, as boundaries between engineering, management, politics, education and art disappear in the face of comprehensive socio-technical systems. It is therefore necessary to review our understanding of engineering practice, expertise and responsibility. This book advances the idea that the future of engineering will not be driven by (...) a static view of a closed discipline, but rather will result from a continuous dialogue between different stakeholders involved in the design and application of technical artefacts. Based on papers presented at the 2016 conference of the forum for Philosophy, Engineering and Technology in Nuremberg, Germany, the book features contributions by philosophers, engineers and managers from academia and industry, who discuss current and upcoming issues in engineering from a wide variety of different perspectives. They cover topics such as problem solving strategies and value-sensitive design, experimentation and simulation, engineering knowledge and education, interdisciplinary collaboration, sustainability, risk and privacy. The different contributions in combination draw a comprehensive picture of efforts worldwide to come to terms with engineering, its foundations in philosophy, the ethical problems it causes, and its effect on the ongoing development of society. (shrink)