Although women are increasing in science, technology, engineering, and mathematics (STEM), men still dominate these fields at the highest levels. This systematic review examined 165 studies published between 2013 and 2023 on the factors affecting girls' participation in STEM subjects. The feminist's intersectionality and the social cognitive…

Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…

In a historical moment in which Artificial Intelligence and machine learning have become within everyone's reach, science education needs to find new ways to foster "AI literacy." Since the AI revolution is not only a matter of having introduced extremely performant tools but has been determining a radical change in how we conceive and…

The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…

The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…

For adolescent girls living in highly marginalized contexts, agency is part of an everyday struggle. Girls make decisions about their lives while navigating social structures, norms, and systems. Yet the agency of girls and young women living in marginalized contexts is often misunderstood, unrecognized, underdeveloped, and/or actively stifled.…

Contemporary science education themes are marked by the inevitable uncertainty of consequences emerging from human actions. They encompass disasters, pandemics and other events that have been marking our present times. Understanding new risks as the ones resulting from human action, even when proposing a solution for an issue, is one of the…

Foucault's panopticon metaphor frames schools as sites controlling student subjectivity. In Foucault's early work, schools, like prisons, are places of control and oppression of students' subjectivity. In an effort to figure out Foucault's conception of subjectivity and his history of the "care of the self", the relationship between…

The objectives of this research were to develop an innovative proactive competency-based learning model integrated with Cloud technology and to evaluate its effectiveness by comparing creativity and academic achievement before and after implementation, as well as measuring student satisfaction with the model. The sample consisted of 27 fourth-year…

With the rapid advancement of Internet technologies and the growing emphasis on ideological and political education (IPE) in higher education, College English teaching is facing both challenges and new opportunities. This study takes the lesson "The Shadowland of Dreams" from the "College English Reading and Writing" course as…

This paper reflects on the practical integration of generative AI, specifically ChatGPT, in a middle school (grades 6-8) special education setting. Initially adopted by teachers to manage an overwhelming workload, the use of AI evolved into a collaborative tool that supported instructional planning, simplified complex texts, created lesson…

Due to educational policy, data use in schools is a widespread method of school improvement, yet results remain inconsistent. Across the literature, the school leader is a key determinant of the effectiveness of data use. This study sought to shed light on the role of the school leader in data use through a mixed methods case study. The study…

Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…

Community schools respond to a variety of risk factors that impede student learning and development. School and community leaders in Canyons School District (CSD) have created community schools across one highly impacted feeder pattern to strengthen academic learning efforts, school climate and youth development opportunities, parent and family…

Predicting student's successful completion of academic programs and the features that influence their performance can have a significant effect on improving students' completion, and graduation rates and reduce attrition rates. Therefore, identifying students are at risk, and the courses where improvements in content, delivery mode, pedagogy, and…