Dataset Information

Problem solving through values: A challenge for thinking and capability development.

ABSTRACT: The paper aims to introduce the conceptual framework of problem solving through values. The framework consists of problem analysis, selection of value(s) as a background for the solution, the search for alternative ways of the solution, and the rationale for the solution. This framework reveals when, how, and why is important to think about values when solving problems. A consistent process fosters cohesive and creative value-based thinking during problem solving rather than teaching specific values. Therefore, the framework discloses the possibility for enabling the development of value-grounded problem solving capability.The application of this framework highlights the importance of responsibility for the chosen values that are the basis for the alternatives which determine actions. The 4W framework is meaningful for the people's lives and their professional work. It is particularly important in the process of future professionals' education. Critical issues concerning the development of problem solving through values are discussed when considering and examining options for the implementation of the 4W framework in educational institutions.

SUBMITTER: Skeriene S

PROVIDER: S-EPMC7382331 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Problem solving through values: A challenge for thinking and capability development.

Škėrienė Sandrita S Jucevičienė Palmira P

Thinking skills and creativity 20200725

The paper aims to introduce the conceptual framework of problem solving through values. The framework consists of problem analysis, selection of value(s) as a background for the solution, the search for alternative ways of the solution, and the rationale for the solution. This framework reveals when, how, and why is important to think about values when solving problems. A consistent process fosters cohesive and creative value-based thinking during problem solving rather than teaching specific va ...[more]

PMID: 32834869

Similar Datasets

Project description:Despite the fact that depressed individuals encounter a multitude of social problems in daily life, research on social problem-solving has largely been dominated by research on interpersonal problems and there is a paucity of research on intrapersonal problems. Intrapersonal problems are linked to one's subjective psychological functioning and involve managing one's own feelings and emotions pertaining to the self. Given that depressed individuals exhibit impaired emotion regulation, it is possible that their ability to solve intrapersonal problems may be impaired, especially in relation to future thinking. The aim of this study was to investigate whether future thinking, in the form of thinking about the consequences of a problem being resolved or remaining unresolved has an impact on intrapersonal problem-solving in depression. Forty-five depressed and fifty-four non-depressed participants completed a modified version of the means end problem-solving task (MEPS). In the task, participants were presented with a series of intrapersonal problems and were asked to generate consequences of the problems being resolved or remaining unresolved. Participants were then presented with a positive resolution to each of the problems and were asked to solve the problem to achieve the positive resolution. Following a delay, participants were asked to recall all of the consequences initially generated. Overall, depressed individuals generated fewer-relevant means and less effective solutions to problems than non-depressed participants. Depressed individuals also demonstrated impaired intrapersonal problem-solving following the generation of resolved and unresolved consequences, compared to a baseline condition, where no consequences were generated. These findings suggest that future thinking impairs intrapersonal problem-solving and indicates that a more nuanced approach to future thinking and social problem-solving in depression is needed across different real-life problem-solving contexts.

Project description:In this paper we argue that a synthesis of findings across the various sub-areas of research in complex problem solving and consequently progress in theory building is hampered by an insufficient differentiation of complexity and difficulty. In the proposed framework of person, task, and situation (PTS), complexity is conceptualized as a quality that is determined by the cognitive demands that the characteristics of the task and the situation impose. Difficulty represents the quantifiable level of a person's success in dealing with such demands. We use the well-documented "semantic effect" as an exemplar for testing some of the conceptual assumptions derived from the PTS framework. We demonstrate how a differentiation between complexity and difficulty can help take beyond a potentially too narrowly defined psychometric perspective and subsequently gain a better understanding of the cognitive mechanisms behind this effect. In an empirical study a total of 240 university students were randomly allocated to one of four conditions. The four conditions resulted from contrasting the semanticity level of the variable labels used in the CPS system (high vs. low) and two instruction conditions for how to explore the CPS system's causal structure (starting with the assumption that all relationships between variables existed vs. starting with the assumption that none of the relationships existed). The variation in the instruction aimed at inducing knowledge acquisition processes of either (1) systematic elimination of presumptions, or (2) systematic compilation of a mental representation of the causal structure underpinning the system. Results indicate that (a) it is more complex to adopt a "blank slate" perspective under high semanticity as it requires processes of inhibiting prior assumptions, and (b) it seems more difficult to employ a systematic heuristic when testing against presumptions. In combination, situational characteristics, such as the semanticity of variable labels, have the potential to trigger qualitatively different tasks. Failing to differentiate between 'task' and 'situation' as independent sources of complexity and treating complexity and difficulty synonymously threaten the validity of performance scores obtained in CPS research.

Dataset Information

Problem solving through values: A challenge for thinking and capability development.

Publications

Problem solving through values: A challenge for thinking and capability development.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets