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…

This qualitative phenomenological study aimed to explore middle school students' perceptions of using the school-based cooperative problem-based learning (SB-CPBL) approach in learning science. The study examined how SB-CPBL differs from the students' usual learning, how the new approach affects their learning process and the main challenges of…

Background: Self-regulation is identified in the literature as an early predictor of later in life success and an important skill that develops over the course of a lifetime but begins in early childhood. Objective: The purpose of this research study was to assess whether direct instruction of Mindfulness Practices, such as guided meditation and…

Concurrent operant assessments (COAs) offer a flexible model for evaluating instructional preferences for students with persistent, escape-motivated interfering behavior. In this article, we define the critical features of COAs and review what types of questions they can address for classroom educators. We then identify and describe a series of…

While collaborative learning activities are designed to foster inter-thinking and co-creation of knowledge, studies have suggested that these outcomes are not guaranteed simply because learners work together in groups. This study investigated the relationship between cognitive interaction during collaborative engagement and exploratory talk by…

This study explores the arrival of Generative Artificial Intelligence (GenAI) technologies in a collaborative Problem-Based Learning (PBL) environment from the perspective of students. It examines the emerging practices students develop individually and in groups as well as the tensions they navigate in response to GenAI's sudden arrival, its…

The methodological controversy surrounding ordinal outcome data has posed a distinct challenge to the conceptualization, design, and conduct of research in the social and behavioral sciences for more than 75 years. Accordingly, this study sought to supply a comprehensive and multidisciplinary perspective of the debate and in so doing lay the…

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…