Although there is growing social science research examining how generative AI models can be effectively and systematically applied to text-based tasks, whether and how these models can be used to analyze images remain open questions. In this article, we introduce a framework for analyzing images with generative multimodal models, which consists of…

Background/purpose: The application of learning models is expected to significantly promote the enhancement of students' problem-solving abilities through the development of interactive learning models. This study aims to (1) determine whether the Development of the Component Display Theory (CDT) Model is categorized as valid, practical, and…

We dwelt on the problem of the gap between the higher education market and the labour market from the position of its impact on social inequality in countries of Central Asia. We elaborated on the theoretical essence of this gap, determine its types and specifics and offer directions to solve this problem. The research methodology is connected…

The architecture of the computational thinking with gamified using artificial intelligence prompt engineering, or architecture of the CT platform with gamified, is a learning tool intended to promote activity-based learning that focuses on problem-solving by doing. This platform is fabricated with the combination of computational thinking process…

Corruption in academia has a detrimental impact on educational quality, innovation, and public trust, especially in countries with weak governance structures like Yemen. This paper analyzes the pervasive nature of corruption in Yemeni higher education institutions, focusing on key areas such as manipulation in hiring practices, biased thesis…

Artificial intelligence companies and researchers are currently working to create Artificial Superintelligence (ASI): AI systems that significantly exceed human problem-solving speed, power, and precision across the full range of human solvable problems. Some have claimed that achieving ASI -- for better or worse -- would be the most significant…

Professional vision (PV), which includes the ability to perceive and interpret classroom events, is important for classroom behaviour management, particularly in the training of student teachers. However, to date, few assessment systems that can assess student teachers' professional vision by immersing them in a realistic classroom environment…

Every student comes to science class with unique skills and problem-solving abilities; unfortunately, there is limited research on how to differentiate instruction so that equitable progress can be made for every learner. We used a novel pedagogical approach to differentiate for a wide range of problem-solving abilities when students were learning…

Within elementary science reform, time is a crucial consideration, yet conceptions of time in education research are undertheorized. To address this gap, we use sociological literature to identify three conceptions of time that help us understand and interpret leaders' and teachers' sensemaking and decision making about time in their efforts to…

One expected outcome of physics instruction is that students develop quantitative reasoning skills, including strategies for evaluating solutions to problems. Examples of well-known "canonical" evaluation strategies include special case analysis, unit analysis, and checking for reasonable numbers. We report on responses from three tasks…

This research delves into the effectiveness of youth hackathons, highlighting their ability to foster innovation, creativity and skill development among school-aged children and teenagers. Through an ethnographic approach and analysis of six such hackathons, the research identifies the desired outcomes of these events, such as enhanced…

Cross-site comparisons indicate that East Asian children typically excel on tests of executive function (EF), but interpreting this contrast is made difficult by both the heavy reliance on testing in school settings and by the scarcity of studies that assess across-site measurement invariance. Addressing these gaps, our study included remote…

Purpose: Teaching and learning statistical signal processing in Biomedical Engineering Degrees poses challenges for both students and teachers. Students often perceive signal processing subjects as demanding and somewhat unattractive, with failure rates several times higher than that of other courses. The aim of this work is to address the…

Should math educators care about what is happening in numeracy education research? Is the addition of a numeracy course something that mathematics departments should consider in their course offerings? Numeracy is often conflated with math-lite and dismissed as not useful to mathematicians and math educators. The term is used interchangeably with…

Guiding students' STEM problem solving entails dynamic processes driven by changes in real-world contexts. To understand these processes, we aimed to identify the formation and influence of 'norms' as shared behaviour patterns desirable in STEM problem-solving. To this end, 10 sessions of STEM lessons for secondary students were carried out, and…