Background: Problem-solving in early and middle childhood is of high relevance for cognitive developmental research and educational support. Previous research on science problem-solving has focussed on the process and strategies of children handling challenging tasks, but less on providing insights into the cognitive network that enables science…

The main aim of this study was to (a) test the construct validity of complex problem solving (CPS); (b) examine the ability to acquire knowledge as a mediator of the relationship between intelligence and CPS performance; and (c) investigate the personal need for structure as a moderator of the relationship between intelligence and knowledge…

This study investigates the relationship between mathematical literacy and cognitive flexibility in solving complex problems among Indonesian elementary school students aged 9-10 n = 78. Utilizing a mixed-methods approach, the research combined quantitative testing and qualitative interviews to provide a comprehensive understanding of this…

The paper describes the results of a study whose main aim was to find the interrelationship between pupils' school grades in Czech language (native), mathematics, and physics and pupils' cognitive predispositions to problem-solving in science and mathematics diagnosed by the Lawson Classroom Test of Scientific Reasoning and the Culture of Problem…

A core aim of contemporary science, technology, engineering, and mathematics (STEM) education is the development of robust problem-solving skills. This can be achieved by fostering both discipline knowledge expertise and general cognitive abilities associated with problem solving. One of the most important cognitive abilities in STEM education is…

The definition of creativity among professional mathematicians and the definition of mathematical creativity in the classroom context are significantly different. The purpose of this study was to investigate the relationship between students' mathematical creativity (i.e., cognitive flexibility) and figure apprehension when solving geometric…

Background: The Metacognitive Affective Model of SRL (MASRL) considers the relationships between metacognition, motivation, and affect. Notably, it provides a theoretical framework to understand how subjective experiences (metacognition and affect) change self-regulation from a top-down to a bottom-up process and vice versa. Aims: The study…

Individual differences in Cattell-Horn-Carroll (CHC) cognitive abilities are related to individual differences in math problem solving. However, it is less clear whether cognitive abilities are associated with math problem solving directly or indirectly via math component skills and whether these relations differ across grade levels. We used…

Background: Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT…

Investigations of differences between gifted and nongifted students have examined cognitive abilities, including intelligence quotient (IQ) differences, higher order thinking skills, and divergent thinking (DT). However, little is known about differences in problem finding (PF). Moreover, previous works on gifted students have never explored…

This study sought to further explain the association between general anxiety symptoms and impaired problem-solving by testing whether this occurs, in part, through a reduced ability to retrieve event-level, specific autobiographical memory (AM). Participants (N = 301; M age = 28.2 SD = 7.7, 55.8% female) completed assessments of the retrieval of…

Both creativity and humor are high-level cognitive functions and complex concepts. Although creativity and humor are generally deemed positively correlated, it has been difficult to explicitly identify their relationship with each other. The cognitive process of creativity includes divergent thinking, insight, and remote association, whereas humor…

Background: The worked example effect in cognitive load theory suggests that providing worked examples first followed by solving similar problems would facilitate students' learning. Using problem solving-worked example sequence is another way of implementing example-based instruction. Although research has demonstrated the superiority of worked…

The aim of research was validation of a method for the assessment of cognitive complexity of chemical technology problem tasks. The method included an assessment of the difficulty of concepts and an assessment of their interactivity. As a research instrument for assessing performance, test of knowledge was used. Each task in the test was followed…

Learners underperform in stoichiometry as they lack conceptual reasoning of the underlying concepts and the ability to solve stoichiometric problems. Therefore, it was necessary to determine if there is a statistical correlation between problem-solving skills and conceptual reasoning in stoichiometry and if so, whether one can significantly…