The capacity to generate prediction is indispensable in daily existence, particularly amidst the swift transformations that are occurring on a global scale. Therefore, this study aimed to analyze the levels of prediction ability among mathematics students when presented with data in graphs. A qualitative approach was adopted, involving 37…

This study aimed to analyze second-semester organic chemistry students' problem-solving strategies, specifically focusing on the resources activated while solving problems on E2, E1, and E1cB elimination reactions. Using the theoretical framework by Elby and Hammer, we defined a resource as a unit of information used in the problem-solving…

How do people come to opposite causal judgments about societal problems, such as whether a public health policy reduced COVID-19 cases? The current research tests an understudied cognitive mechanism in which people may agree about what "actually" happened (e.g., that a public health policy was implemented and COVID-19 cases declined),…

This study explored the effects of a self-adapted mobile concept mapping-based problem-posing (CMPP) approach applied in a virtual museum context. To investigate the effectiveness of the proposed approach, a quasi-experimental design was applied to compare the critical thinking tendency, meta-cognition tendency, problem-solving tendency,…

This is a reflective Account of Practice paper that delves into the author's role as an Action Learning coach, emphasizing the crucial role of intuition in facilitating breakthroughs and creating an environment conducive to problem-solving. It narrates a transformative 2019 coaching session where the author used unconventional techniques to…

This study analysed two internationally recognised measurements of professional skills: the Programme for the International Assessment of Adult Competencies (PIAAC) and the Digital Competence Framework for Citizens (DigComp 2.2). This analysis aimed to establish a baseline and reference point for a comprehensive understanding of these two scales…

The versatility of ChatGPT extends across diverse domains, including scientific research. This study delves into the transformative prospects of integrating ChatGPT into scientific research, achieved through a SWOT analysis. The analysis explores the model's strengths, which encompass a vast knowledge base, language proficiency, information…

Research investigating pragmatic abilities in healthy aging suggests that both production and comprehension might be compromised; however, it is not clear how pragmatic abilities evolve in late adulthood, as well as when difficulties are more likely to arise. The aim of this study is to investigate the decline of pragmatic skills in aging, and to…

The authors examined task-based (i.e., executive function), surveyed (i.e., effortful control), and physiological (i.e., resting cardiac respiratory sinus arrhythmia [RSA]) measures of child and maternal regulation as distinct moderators of longitudinal bidirectional links between child externalizing (EXT) behaviors and harsh parenting (HP) from 6…

Aligned with critical scholarship and upholding minoritized populations' agency and power, this survey research study addresses Latinx college students' resistance strategies in two Nuevo South states by examining the social issues that students are aware of, engage with, and the nature of their interactions with these issues. We apply Southern…

Going beyond teaching knowledge to develop students' competencies challenges contemporary universities because acquiring knowledge is insufficient without the capacity to implement it in real environments. Complex thinking is among the most valued competencies. It allows people to reason to solve problems, integrating their scientific, systemic,…

This article presents an approach to teacher education that combines case-based pedagogy, action research, and communities of practice, which ultimately conceptualizes preservice teachers (PSTs) as problem solvers. Eleven PSTs conducted research and authored reports during their student teaching experiences in a large, metropolitan school…

The Mystery Motivator intervention has been shown to increase prosocial behavior among school-age children by capitalizing on the anticipation afforded by reward concealment or randomization. Although numerous evaluations have supported the effectiveness of the Mystery Motivator, the overall status of this intervention is still unknown. The…

According to Government guidance in the UK, improving attendance is everyone's business. This article sets out the work of one local authority to develop their own multi-agency approach to reduce rates of emotionally based school non-attendance. The Research and Development in Organisations model provided a structure for the action research…

In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…