A worked-out or an open inventing problem with contrasting cases can prepare learners for learning from subsequent instruction differently regarding motivation and cognition. In addition, such activities potentially initiate different learning processes during the subsequent ("future") learning phase. In this experiment (N = 45…

The development of mathematical skills for future engineers is essential. Game-based learning (GBL) and gamification have been widely used in elementary education, but less applied in higher education. The objective of this article was to evaluate the effect of didactic strategies mediated by games in the teaching of mathematics in first-year…

Computing has become essential in modern-day problem-solving, making computational literacy necessary for practicing scientists and engineers. However, K-12 science education has not reflected this computational shift. Integrating computational thinking (CT) into core science courses is an avenue that can build computational literacies in all…

This study aims to examine the effect of the P4C curriculum on 5-6-year-old children's critical thinking through philosophical inquiry and their problem-solving skills. The study group included a total of 40 children learning in kindergartens at an elementary school in Çanakkale, Turkey. The study used a quasi-experimental model with the…

Storytelling is an important method for removing obstacles to learning mathematics and making lessons understandable. This research aims to analyze primary school teachers' stories written to teach students concepts of problem solving, fluency, reasoning, and understanding skills. The study is a qualitative case study and the participants were 25…

Group cognition is a cognitive science concept that studies how groups think, learn, and work. Most research investigates group cognition as a qualitative-oriented phenomenon. From a quantitative perspective, this research proposes a measure equation of group cognition, conducts empirical research during online collaborative problem-solving, and…

As a dynamic and multifaceted construct, computational thinking (CT) has proven to be challenging to conceptualize and assess, which impedes the development of a workable ontology framework. To address this issue, the current article describes a novel approach towards understanding the ontological aspects of CT by using text mining and…

This paper presents an alternative approach of teaching systems of two linear equations to the students in Tanzanian ordinary secondary schools. I conducted a desk-based research on methods that have been used by in-service mathematics teachers for teaching systems of two linear equations in ordinary secondary schools. It was found that five…

The COVID-19 crisis has demonstrated the importance of being able to understand complex computational models for everyday life. To make sense of the evolving predictive models of the COVID-19 pandemic, global citizens need to have a firm grasp of both systems thinking (ST) and computational thinking (CT). ST is the ability to understand a problem…

Problem posing has received increased attention among researchers and educators. One of the most important aspects is to understand the cognitive process of problem posing. In this study, we conceptualized a framework for the cognitive process of mathematical problem posing in three stages: (a) input--understanding the task, (b)…

In this research, it was aimed to examine the effects of interdisciplinary science activities on 5th grade students' creative problem-solving skills and 21st century skills. The study group consisted of 50 5th grade students, 26 girls and 24 boys, were studying at a public school in Ankara, Çankaya district in the 2018-2019 academic year. The…

Preschool environments offer an abundance of opportunities for exploring the physical world where children can learn "engineering concepts" and "principles" (theories or laws). Yet how teachers design motivating conditions for engineering thinking has not been fully investigated. The study reported in this paper examined how…

Representational competence in science is the ability to generate external representations (e.g. equations, graphs) of real-world phenomena, transform between these representations, and use them in an integrated fashion. Difficulties in achieving representational competence are often considered central to difficulties in learning science.…

Purpose: This paper aims to understand what drives people -- their motivations, autonomous learning attitudes and learning interests -- to volunteer as mentors for a program that helps families to ideate technological solutions to community problems. Design/methodology/approach: A three-phase method was used to build volunteer mentor profiles;…

Computational thinking in the educational environment has awaken a rising interest, having been included as part of the curricula from the very beginnings of education. Programmable robots have become a valuable positive resource in order to succeed in the development of computational thinking, demanding proper training from kindergarten teachers…