In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized the significance of developing algorithmic thinking (AT) skills to help students in program development and error debugging. Despite the…

Contrary to today's hype, interdisciplinarity--and its cognate transdisciplinarity--was once a synonym of a critical-reflexive attitude towards knowledge production and the technoscientific progress, including the mindset, power and authority of science. The role of the entire academic system in causing the environmental crisis and the…

Background and Objective: Advancing automation technologies are replacing certain occupations such as those involving simple food preparation more than occupations such as those in STEM fields (e.g., engineering, health care). Older workers generally face higher job automation risks in part due to their lower levels of digital skills. A better…

Meta-reasoning requires monitoring and controlling one's reasoning processes, and it often begins with an assessment of problem solvability. We explored whether "Judgments of Solvability (JOS)" for solvable and unsolvable anagrams discriminate and predict later problem-solving outcomes once anagrams solved during the JOS task are…

To provide practice and assessment of computational thinking, we need specific problems students can solve. There are many such problems, but they are hard to find. Learning environments and assessments often use only specific types of problems and thus do not cover computational thinking in its whole scope. We provide an extensive catalog of…

The aim of this study is to examine the relationship between the cognitive processing levels of preschool children and their problem-solving skills. The Cognitive Assessment System (CAS), developed by Naglieri and Das (1997) and adapted into Turkish by Ergin (2003), was used to determine the cognitive processing levels of children. A puzzle…

As artificial intelligence (AI) becomes increasingly integrated into higher education, particularly in creative disciplines, the role of AI turns into a co-creative partner. This study investigates the impact of AI-relevant training on media and communication students in Taiwan, focusing on the development of AI literacy, self-efficacy,…

The mechanistic approach to teaching introductory-level organic chemistry--Organic One and Two (Organic I and II) in the United States--continues to predominate since its introduction through Morrison and Boyd's legendary textbook. In this approach, reactions are taught alongside their electron-pushing mechanisms (EPMs), thereby providing students…

Graded Troubleshooting (GTS) is a powerful routine that teachers can use easily to engender students' metacognitive thinking and boost their understanding of mathematics concepts and procedures. This article describes a new GTS activity designed to prompt students to efficiently exploit worked examples when asked to diagnose erroneous examples…

The ability to reason with representations is pivotal for successful learning in Organic Chemistry and is closely linked to representational competence. Given the visual nature of this discipline, this comprises competency in extracting and processing relevant visual information. With regard to the resonance concept, proficiency in identifying…

The problem solving performed by students in solving mathematical literacy problems shows that at the developmental stage of proportional reasoning students have different strategies, especially at the developmental stage of functional and scalar relationships. The purpose of this study is to identify and explore the developmental stages of…

Creative thinking stems from the cognitive process that fosters the creation of new ideas and problem-solving solutions. Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. For instance, the generation of ideas could be symbolized as patterns of binary code in which clusters of…

Mathematical self-efficacy refers to an individual's belief in their ability to successfully perform tasks and solve problems in mathematics. This Snapshot examines gender differences in mathematical self-efficacy and the levels of confidence that students feel in doing a range of formal and applied mathematics tasks. It also examines the extent…

This paper presents the findings of a study involving 16 undergraduate students enrolled in a basic financial mathematics course. The study aimed to examine the nature of the students' problem-posing and problem-solving products and processes, as well as the interactions between the two. The findings revealed that the majority of the posed…

Undergraduates often express that they feel powerless to help solve important challenges such as climate change and environmental degradation, consistent with the broader phenomena of ecoparalysis. Viewed through value-expectancy frameworks for motivation, value for an outcome and self-efficacy to achieve it lead to goals, which motivate…