This paper investigates a flipped classroom teaching model that integrates deep learning into the design of college physical education instruction. By adjusting the time schedule inside and outside the classroom, the model shifts the focus of teaching to students, and the teacher's role changes from knowledge transmitter to learning guide. The…

The aim of this study is to examine the effect of Micro:bit applications with the participation of 6th grade students on students' attitudes towards coding. In addition participants' opinion regarding Micro:bit applications were examined. In this quantitative study, six-week applications with Micro:bit coding content were carried out using the…

The aim of the current study is to develop a detailed understanding of how thirdgrade primary school students construct 3D printers in their minds based on their initial knowledge about 3D printers. This study, which was conducted with a phenomenological design, is one of the qualitative research methods. The participants of the study consisted of…

This study examined undergraduate students' use of generative artificial intelligence (GAI) for research assignments and its intersection with traditional library databases. Semi-structured interviews with 16 students revealed GAI is primarily used for grammar, summarizing, brainstorming, and locating sources. While students value GAI for…

Using newly-collected data on the near-population of U.S. STEM PhD graduates since 1950, we examine who funds PhD training, how many graduates are trained in areas of strategic national importance, and the effects of public investment in PhD training on the scientific workforce. The U.S. federal government is by far the largest source of financial…

The development of large language models offers new possibilities for enhancing adaptive scaffolding of student learning in game-based learning environments. In this work, we present a novel framework for automatic plan generation that utilizes text-based representations of students' actions within a game-based learning environment, Crystal…

The rapid advancement of artificial intelligence (AI) has presented transformative opportunities for education, particularly in addressing the limitations of traditional lecture-based teaching methods commonly employed in large-class settings. While these methods efficiently deliver content, they often fail to foster active engagement, critical…

This study explored secondary science teachers' attending and interpretation of three science and engineering practices (SEPs) occurring in a classroom setting. This data were further examined to see if teaching experience and disciplinary area influenced the secondary science teachers attending and interpretation of the SEPs. The data collection…

Purpose: This study aims to investigate the key factors influencing students' adoption of artificial intelligence (AI) chatbot applications in higher education. It further examines the mediating and moderating role of AI chatbots and tech readiness in determining the effect of perceived usefulness, subjective norms, tech simplicity and tech…

Higher education staff and students are beginning to emerge from the liminal space created by the exponential rise in generative artificial intelligence technologies such as large language models. Both groups exhibit a low or developing understanding of the issues related with the use of such tools. On one hand, staff in many institutions are…

Introduction: Meaningful participation within core academic content classes provides critical access to rich learning and social opportunities for students with visual impairments (i.e., those who are blind or have low vision). This study explores the academic and social participation of secondary students with visual impairments in core classes…

This study investigates the promotion of pedagogical content knowledge for simulations and mathematical modelling with digital tools among pre-service teachers. This knowledge can be described as modelling-specific TPaCK in the context of digital tools. In a quasi-experimental design, three groups of pre-service teachers (N = 230) were analysed…

Cheating with AI is the proverbial elephant in the room, with the widespread assumption that the amount of cheating has exploded since the appearance of generative AI tools like ChatGPT. However, the research on cheating tells a more complicated story. For high schools, cheating levels did not significantly increase after the release of ChatGPT.…

Industry 5.0 is a new emergent industrial revolution that admits and promotes mutual and coordinated interaction of industrial workers' cognitive and creative skills, and artificial intelligence machines' qualities to maximize production in industries. Thus, the advent of Industry 5.0 demands new skills, knowledge, attitude and…

The National Association for the Education of Young Children (NAEYC) states that building bridges between home and school benefits students' development. With online teaching, this translates into informal conversations before class starts or at the end of class as a teacher waits for a virtual classroom to fill up or empty out. Much of teaching…