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The purpose of this research study is to explore simple collaborative technique for teaching mathematics and thus improving the problem solving skills of the students. Better pedagogic activities are required to motivate the students to perceive mathematics as a subject that stimulates problem-solving skills required for engineers.

This paper presents a research study on the application of technology-supported collaborative learning in improving the problem-solving skills of first-year engineering students in a mathematics course. The experiment was conducted in a mathematics course “Engineering Calculus” with 286 first-year engineering students in two groups: experimental group (N = 60) and controlled group (N = 226). The academic performance of the students was measured and analyzed with statistical techniques.

From the results obtained, it was found that the academic performance of the experimental group was better than the controlled group. Also, interest shown by the students in the topic that dealt with collaborative learning was more than in other topics taught using conventional teaching methods.

The teachers are required to find effective pedagogical activities to improve the problem-solving skills in mathematics. The research work proposes a collaborative method in mathematics for attaining higher cognitive level in an entry level engineering course. The limitation of this study lies in group formation techniques and the grading policy which deals only with individual assessment scores.

Practice of collaborative learning is made easy with simple technology. A clear strategy for the conduct of collaborative learning sessions has been presented. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

Using technology in mathematics teaching may not be very easy for all teachers. Especially, for an undergraduate engineering fresher, mathematics may not be a very easy task. This work shall bridge the gap with simple technology-assisted collaborative learning. The teachers need not spend too much time and effort in learning technology for mathematics teaching. The effect of this learning is significant in terms of the performance and satisfaction evaluation.

This work presents a systematic implementation of collaborative learning that shall result in improved problem-solving skills and engaging learning sessions. The statistical analysis methods and the visualization of obtained results shall help in understanding the implications of the presented work. Practice of collaborative learning is made easy with simple technology. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

The purpose of this study is to identify and assess collaborative problem solving (CPS) behaviors in elementary students in science, technology, engineering, arts/humanities and mathematics (STEAM)-related making and to garner students perspectives. We offer a valid way for researchers to understand collaborative processes and for educators to create opportunities for collaboration. Additionally, the feedback from the assessment offers students a way to reflect on their CPS skills.

This qualitative study evaluated 52 elementary students’ CPS skills using co-measure, a validated rubric assessing students’ CPS when working in STEAM-related makerspace activities. Students worked in collaborative groups to “make” artifacts when solving a problem posed by their teacher. They were assessed using co-measure’s four dimensions: peer interactions, positive communication, inquiry rich/multiple paths and transdisciplinary approaches and scored via each dimension’s associated attributes. Student interviews provided their perspectives on CPS.

A majority of students scored in the acceptable or proficient range in the social dimensions of peer interactions and positive communication. Students scored slightly lower on the cognitive dimensions of inquiry rich/multiple paths and markedly lower on transdisciplinary approaches when collaborating. Findings suggest to increase CPS skills, teachers might develop “making” activities fostering greater inquiry and model ways to strategize and verify information, approach the problem drawing on student interest and prior knowledge and collaboratively use tools, materials and methods that mimic the real world when problem-solving.

Much of the current research on assessing CPS during making is in the early stages of considering appropriate assessment approaches, especially in schools. To expand this literature the study includes elementary students between the ages of 6-10, the focus is on assessing their collaboration using an observational rubric. The authors use preliminary findings from young children’s perspectives on making to position the future work.

This paper aims to present a model of collaborative inquiry play: rule-based imaginary situations that provide challenging problems and support agentic multiplayer interactions (c.f., Vygotsky, 1967; Salen and Zimmerman, 2003). Drawing on problem-based learning (PBL, Hmelo-Silver, 2004), this paper provides a design case to articulate the relationship between the design goals and the game-based learning environment.

Drawing on conjecture mapping (Sandoval, 2014), this paper presents an iterative development of the conjecture map for crystal island: ecojourneys and highlights the development of the story and tools in crystal island: ecojourneys, an immersive game based on PBL pedagogy. By articulating this development, the authors highlight the affordances and constraints of designing for collaborative inquiry play and address challenges in supporting learner agency.

The PBL inquiry process served as the foundation of collaborative inquiry play. Attending to the rules of inquiry fostered student agency, and in turn, playful engagement in the game-based learning environment. Agency however meant holding students accountable to actions undertaken, especially as it pertained to generating group-based explanations and reflecting on productive collaboration. Moreover, socially shared regulation of learning and systems thinking concepts (i.e. phenomenon, mechanisms, and components) must also be externalized in representations and interactions in the game such that students have the agency to decide on their learning paths.

This paper presents the model of collaborative inquiry play and highlights how to support player agency and design content-rich play environments which are not always completely open.

The purpose of this paper is to verify how distributed cognition enhances collaborative problem-solving in the context of projects.

Using qualitative research and in-depth interviews, a sample of 32 project managers with experience in traditional and agile methods acting in Brazil and internationally participated in the research process. The analysis process, utilising coding techniques, involved stages: open, axial, coding and selective coding. These stages encompassed the evaluation of categories based on a hierarchy, in order to determine an appropriate level of abstraction that properly explains theoretical findings.

The results indicate that distributed team cognition is significant for collaborative problem-solving. The data from the interviews allowed the proposal of a model of cognition, and the identification of the elements that support it.

Understand how aspects of distributed team cognition can impact the behaviours of the project professional and contribute to problem-solving in the project environment.

The elements observed affects the collaborative problem-solving by presenting a model of distributed cognition, which is composed by directed communication, collective interaction, trust building and collaborative behaviour.

The purpose of this paper is to identify the core dimensions of problem solving of experts in commercial valuation in order to provide a rich stimulus for managing current practice and enabling future development.

The study adopted a cognitive position but emphasised understanding the everyday commercial property valuation practice in a naturalistic context and from the participants’ perspectives. Given this, a grounded theory approach was employed as a research strategy to guide the data collection and surface theoretical interpretations. Data were obtained through in-depth interviews with practicing valuers working in private real estate firms within metropolitan Birmingham, UK.

The interviews uncover four dimensions of experts’ problem-solving practice in commercial valuation: multidimensional, domain-specific knowledge base; cognitive process that is centred on analysis and reflection; collaborative problem-solving venture with colleagues; and professional practice issues awareness. A conceptual model is proposed which integrates these dimensions enabling a clearer understanding of the nature of valuation work.

This study was designed to be descriptive and theory generating, thus, the findings cannot be generalised as the sample was confined to one city and consists of a small number of senior practicing valuers. Therefore, the findings may not be fully applicable to other practicing valuers, other geographical locations or more widely to other types of property valuation. Nevertheless, the findings provide an important cognitive framework which can be verified by other researchers seeking to examine the practice of expert valuers.

The identification of the core dimensions of expert problem solving in commercial property valuation is shown to have implications for valuation practice, education and continued research. The valuation practice environments need to develop mechanisms to provide time that would enable these multi-dimensions of professional competence to be developed. Further work is needed to expand and refine the model across expert practice in other specialty areas of valuation practice.

This study expands the current understanding of valuation process to areas of expertise that have received less coverage in behavioural valuation literature, that is, the central role of knowledge and cognition and how these are integrated for effective valuation problem solving and decision making.

Domain ontologies facilitate sharing and re‐use of data and knowledge between distributed collaborating systems. A major problem in the design and application of intelligent systems is to capture and understand: the data and information model that describes the domain; the various levels of knowledge associated with problem solving; and the patterns of interaction, information and data flow in the problem solving space. This paper reports the development of an ontology for agent‐based collaborative design of portal structures, using knowledge acquisition techniques and tools. It illustrates the application of the ontology in the development of a prototype multi‐agent systems. The study shows that a common ontology facilitates interaction and negotiation between agents and other distributed systems. The paper discusses the findings from the knowledge acquisition, their implications in the design and implementation of multi‐agent systems, and gives recommendations on developing agent‐based systems for collaborative design and decision‐support in the construction sector.

Organizations are faced with solving increasingly complex problems. Addressing these issues requires effective leadership that can facilitate a collaborative problem solving approach where multiple perspectives are leveraged. In this conceptual paper, we critique the effectiveness of earlier leadership models in tackling complex organizational issues. We then examine one promising model, adaptive leadership, in detail and propose that this model provides a leadership approach for addressing current organizational realities. The model, proposed and developed over the last two decades, fundamentally supports the assumption of leadership by multiple stakeholders, with the formulation of the leadership dependent on the emergent problem. Adaptive leadership, with its focus on collaborative problem-solving utilizing multiple perspectives, is especially applicable to large organizations faced with solving complex problems involving many stakeholders.

Applications for tracking and managing classroom behavior have become increasingly commonplace, thus making it possible to incorporate nonacademic data into collaborative problem-solving and school improvement. Whether or how these platforms might support such aims, however, is not known. Accordingly, this study explores practices involving these applications, focusing especially on problem-solving among educators and with students' families.

This comparative case study took place in three schools. In total, 34 semistructured interviews were conducted with teachers and school leaders. Analysis included qualitative coding as well as the development of within- and cross-case summaries.

Schools varied greatly when it came to using behavior management platforms as a part of problem-solving. At a basic level, it was not uncommon for educators to use behavioral data for classroom troubleshooting or check-ins with students and transactional communications with families. However, only two schools attempted to use behavioral data for more systemic, “big picture” problem-solving, such as to make discipline policies more equitable or to improve teacher practices. The richness of collaboration with families seemed especially shaped by how and how frequently data were shared (e.g. automated notifications and paper printouts).

Empirical research about behavior management applications has been limited and focused only at the classroom level. The present study contributes new knowledge about the school-level implications of these platforms, while also expanding conversations about how behavioral data may be incorporated into data-informed problem-solving. Implications for leadership and theory are also discussed.

The purpose of this paper is to describe a case study of a pilot program in which a collaborative problem-solving approach was implemented at hot spots of juvenile and youth crime in downtown Seattle, Washington.

Two matched pairs of youth crime hot spots were allocated at random to treatment (“non-enforcement problem-solving”) or comparison (“policing-as-usual”) conditions within matched pairs. In the treatment condition, police collaborated with community and local government partners to develop problem-solving strategies that deemphasized arrests and other traditional law enforcement approaches. Impacts on crime incidents, calls for service, and police activity were assessed using difference-in-differences Poisson regression with robust standard errors.

No significant impact on crime or calls for service was observed at one site, where several problem-solving approaches were successfully implemented. However, crime and calls for service were significantly lower at the other site, where some enforcement activity took place but non-enforcement problem-solving was limited.

The authors find mixed support for non-enforcement problem-solving at hot spots. The enforcement may be necessary for stabilization, and must be balanced with the risks of justice system involvement for youth. Political support at the city level is necessary for collaboration. Limitations include the small number of sites in this pilot study and key differences between treatment and comparison locations.

This study is one of the first to assess the impact of primarily non-enforcement problem-solving specifically at youth crime hot spots.

The information age is upon us. In schools across the country, administrators are making important decisions about how best to employ computer technology. This case study of an expert educational administrator looks at computer use from a problem‐solving perspective, focusing on the relationship between how this school leader thinks about and acts on technological capacity. It examines the personal attributes and perceptions that underlie his effective application of technology and finds them interwoven with the same cognitive and behavior skills he employs across his problem solving. It explores the connections he makes between school and community and between administrative and instructional technology.