This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…

The current paper examines associations between preschool cognitive and behavioral skills and indicators of college enrollment in a sample (n = 379) of primarily Black and Hispanic youth growing up in low-income areas of Chicago. Although we found that most early cognitive and behavioral skills were only weakly or moderately related to later…

Educators within agricultural and natural resource disciplines are tasked with educating students to critically engage with and problem-solve complex issues. As society's relationship with science and technology changes, coupled with an information-dense environment, strategies for sustainably addressing complex issues are needed. One potential…

Gender inequalities continue into the 21st century and STEM was a major area of emphasis. Educators need to focus on female students to build their self-efficacy and critical thinking skills. The purpose of this study was to determine if problem-based learning (PBL) improves female elementary students' self-efficacy and critical thinking skills.…

This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…

Quantitative reasoning (QR) competencies are increasingly called for in the data rich and complex environment of STEM disciplines, including biology. Curricular reform efforts in QR have been directed at disseminating course design and pedagogy but less work has been directed at understanding what faculty at large view as crucial for student…

Transform mathematics instruction with the comprehensive mathematical competencies (CMC) framework--a research-based model that integrates seven essential competencies: conceptual and procedural integration, problem solving, logical reasoning, communication, tool use, pattern recognition, and student engagement. Through practical classroom…

Background: Sound clinical reasoning is crucial for synthesizing assessment and contextual information into evidence-based and patient-centred management decisions. Whilst clinical reasoning processes and development have been explored in broader health contexts, to date there has been limited evaluation of how clinical reasoning skills are…

Mathematical and computational thinking (CT) are closely interrelated, yet CT integration into mathematics instruction remains limited. This study aims to analyze the effectiveness of the teaching process for straight-line equations in enhancing students' CT skills and to propose improvements based on the findings. A qualitative case study…

In literature, teaching for an authentic learning experience is seen as rewarding and interesting, promoting better understanding of for example sustainable development and fostering students' independence. Some upper secondary schools emphasise authentic teaching and learning on their websites, showcasing how students engage in authentic tasks.…

The aim of this study is to reveal and evaluate the attending and interpreting skills of student thinking of prospective teachers, as well as their instructional suggestions as responding skills. The current study was conducted with 29 prospective mathematics teachers (PMTs) within a qualitative design in the context of probability. First, three…

Background/purpose: The Computational Thinking ability has become a fundamental skill in the 21st century and has been integrated into educational curricula in various countries. For this curricular integration to be effective, it is essential that teachers are prepared to incorporate the development of this competency into their practices. In…

Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…

This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI…

This research is intended to study the outcomes of analytical thinking and curiosity derived from the virtual smart classroom using the cooperative problem-based learning; thereby the said virtual smart classroom is a research tool initiated from the integration of the problem-based learning and the cooperative learning coupled with the aid of…