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2,621 result(s) for "Creative Problem Solving"
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Time Perspective, Coping Styles, Perceived Efficacy in Affect Regulation, and Creative Problem Solving in Adolescence and Youth
The study evaluated, in a sample of 230 adolescents (147 males and 83 females, mean age = 16.67) and a sample of 181 young people (21 males and 160 females, mean age = 22.57), the relationships between time perspective and the following personal skills: coping styles, perceived efficacy on affect regulation, and creative divergent problem solving. Results highlight that future time perspective increases in value from adolescence to youth, while present time perspective decreases. Future time perspective is correlated with creative problem solving and problem solving coping style in both age groups, while present time perspective is positively correlated with expression of positive emotions in both age groups. Results are discussed also for their relevance for school educational and training programs.
The Impact of Creative Problem-Solving Learning Model Based Android Towards Learning Outcomes of Elementary School Students
This study aims to know the impact of the Creative Problem Solving learning model based on android on the learning outcomes of elementary school students. The numbers population was all students of SD Tunas Bangsa. The technique of determining the sample used simple random sampling. This research used pre-experimental with One Group Pretest-Posttest Design. Data collection techniques used learning outcomes tests to measure the student’s learning outcomes both before and after being given treatment, documentation, and observations about student learning activities and teacher observations regarding the implementation of the model during the learning process. Descriptive statistical analysis data described the students’ mathematics learning outcomes. Inferential statistical analysis to test the hypothesis using the dependent t-test or Paired-Sample T-Test with SPSS 21.0 version. The results of the research showed that there was an impact of the Creative Problem Solving learning model based on android towards learning outcomes. This is evidenced by the results of the pretest in the less category experienced an increase in posttest learning outcomes in the good category. It can be concluded that there is an the impact of Creative Problem Solving learning model based on android towards learning outcomes of elementary school students.
Introducing the fusion innovation test as a new paradigm for studying realworld creative problem solving
Studying creative problem-solving requires tasks with real-world relevance and minimal domain-specific knowledge. The widely used alternative uses test (AUT) meets these criteria but primarily measures divergent thinking—generating many ideas without immediate judgment. However, creative problem-solving also requires convergent thinking to narrow down options and select the most effective solution. We introduce the fusion innovation test (FIT), a task that integrates both divergent and convergent thinking. In the FIT, participants combine two randomly assigned elements (e.g., objects or technologies) to achieve either a self-improvement goal or a sustainable development goal. Each FIT solution is evaluated based on the novelty and feasibility of combining the elements, and the effectiveness in achieving the intended goal. We collected behavioral data from 144 participants and used ratings from 122 human evaluators to train an automated scoring system based on a large language model. Participants also completed the AUT and two real-life creativity questionnaires. Results show that the FIT captures a unique aspect of creativity—goal-directed innovation—not assessed by the AUT. Moreover, FIT performance correlates with scientific creativity, whereas AUT performance aligns more with artistic creativity. These findings suggest that the FIT is an initially promising and complementary tool for studying real-world creative problem-solving.
Six thinking hats
'Six Thinking Hats' is a de Bono classic, used by businessmen worldwide to develop techniques of creative thinking in the boardroom. The Six Hats method aims to make the fullest use of everyone's intelligence, experience and information.
Human resource analytics, creative problem-solving capabilities and firm performance: mediator moderator analysis using PLS-SEM
PurposeBased on resource-based and dynamic capabilities theorizing, this study explores how human resource analytics (HRA) can improve human resource management (HRM) performance and organizational performance, with creative problem-solving capability (CPSC) as an underlying mediator for creating value from HRA. It also explores how data quality and HRA personnel expertise act as moderators in this relationship.Design/methodology/approachHypotheses are tested in an empirical study including 191 firms using partial least square structural equation modeling technique.FindingsThe findings confirm the direct and indirect effect of HRA use and maturity on HRM and organizational performance, as well as the mediating role of CPSC. HRA personnel expertise was found to moderate the relationship between HRA and CPSC, data quality being an important factor.Originality/valueThe findings contribute to the sparse evidence of value creation from HRA use/maturity on HRM and organizational outcomes, providing a theoretical logic of resource-based view and dynamic capabilities view based on the underlying causal mechanism through which HRA creates value. The study identified complementary capabilities which when combined with HRA use/maturity and CPSC result in value creation.
Critical thinking, idea innovation, and creativity
\"Using topics of critical and creative thinking, Critical Thinking, Idea Innovation, and Creativity discusses methods of solving complex problems, demonstrates the benefits of using the methods of imaginative thinking, identifies ways to overcome problems and inhibitors such as a lack of confidence, provides guidelines for assessing creative experiences, and encourages the application of the methods to leadership, research, and decision making. It allows readers to turn their unidimensional technical knowledge into a multi-dimensional knowledge framework that will provide a broader and more realistic framework for the solution of complex problems\"-- Provided by publisher.
Learners leveraging generative AI for creative problem solving: Focusing on the PISA 2022 creative thinking problems
As STEM education evolves to meet the demands of the 21st century, fostering creativity and problem-solving skills has become a critical objective. This study examines how learners approach STEM problems requiring creative thinking with generative AI (GenAI). The research explores two key questions: (a) How do students engage in the creative problem solving (CPS) process using GenAI across social and scientific problem domains? (b) What differences exist between high- and low-performing students in using prompts during CPS with GenAI? The study involved 38 middle school students (aged 15) in Korea, who solved social and scientific problems from the PISA 2022 Creative Thinking Assessment using ChatGPT. The findings revealed distinct patterns in students' use of GenAI, varying by problem domain and performance level. In the social problem domain, students primarily relied on ChatGPT's suggestions, frequently using prompts to request fully developed solutions or elaboration on ChatGPT's ideas. In contrast, in the scientific problem domain, students developed problem solving strategies around their ideas and integrated ChatGPT's suggestions in a more balanced way. A detailed analysis of prompt strategies revealed prominent differences between high- and low-performing students. High-performing students used diverse prompt types and strategically combined them with their own insights. In contrast, low-performing students relied heavily on ChatGPT's suggestions with minimal modification or originality. This study contributes to understanding how learners engage with GenAI for CPS across different domains and provides implications for designing educational strategies that equip learners to utilize GenAI effectively for CPS in STEM education.